This document provides an overview of density functional theory (DFT) and its applications in computational chemistry and solid state physics. It begins with recommended books and websites on the topic. It then outlines the theoretical framework of DFT, including the Hohenberg-Kohn and Kohn-Sham theorems which simplify the many-body Schrodinger equation. The document discusses practical considerations for implementing DFT calculations including input/output files, pseudopotentials, and exchange-correlation functionals. It also introduces concepts from solid state physics like reciprocal space, band structure calculations, and plane wave basis sets which are important for DFT simulations of bulk materials and surfaces.
Ahhh baby jaan good morning sweet dreams my dear wife my love you too my jaan ho tum dimag me kuch kuch bhi nhi kiya h na to bol dena discharge ho gaya hai na aaj kal kya kr rhi hu me
Density functional theory (DFT) and the concepts of the augmented-plane-wave ...ABDERRAHMANE REGGAD
油
Density functional theory (DFT) is a quantum mechanical method used to investigate the electronic structure of materials. The document discusses DFT and the linearized augmented plane wave plus local orbital (LAPW+lo) method implemented in the Wien2k software. Wien2k is widely used to study the properties of solids and surfaces using an all-electron, relativistic, and full-potential DFT approach. The document provides an overview of the theoretical foundations of DFT and LAPW methods as well as examples of applications studied with Wien2k.
This document provides an overview of density functional theory and methods for modeling strongly correlated materials. It discusses the limitations of standard DFT approaches like LDA for strongly correlated systems and introduces model Hamiltonians and correction methods like LDA+U, LDA+DMFT, self-interaction correction, and generalized transition state to better account for electron correlation effects. The document outlines the basic theory and approximations of DFT, including Kohn-Sham equations and the local density approximation, and discusses basis set approaches like plane waves, augmented plane waves, and pseudopotentials.
This document summarizes several quantum mechanics methods for calculating molecular properties, including semi-empirical, density functional theory (DFT), and correlation methods. It discusses how semi-empirical methods approximate integrals to speed up calculations compared to Hartree-Fock. DFT is described as an alternative to wavefunction methods that uses the electron density. Popular DFT functionals and how they include exchange and correlation are outlined. Geometry optimization and vibrational frequency calculations are also summarized.
Density functional theory (DFT) provides an alternative approach to calculate properties of molecules by working with electron density rather than wave functions. DFT relies on two theorems linking the ground state energy and electron density. Approximations must be made for the exchange-correlation functional, with popular approximations including LDA, GGA, and hybrid functionals. DFT calculations can determine properties like molecular geometries, energies, vibrational frequencies, and more using software packages. While computationally efficient, DFT has limitations such as its reliance on approximate exchange-correlation functionals.
This document provides an overview of Cedric Weber's background and research interests, which include dynamical mean field theory (DMFT) and its application to oxide materials. Some key points:
- Cedric Weber received his PhD in quantum magnetism and superconductivity from EPFL and has worked on DMFT at Rutgers and the University of Cambridge. He is currently a researcher at King's College London.
- His research focuses on developing DMFT software and studying phase diagrams of high-temperature superconductors and other oxide materials using techniques like DMFT, GW+DMFT, and the Bethe-Salpeter equation.
- He collaborates with theorists and experimentalists on topics like laser
This document discusses challenges and open questions in nuclear density functional theory (DFT). It begins by providing background on DFT and how it has been applied to nuclei using approximations like the local density approximation. It then discusses questions around improving the nuclear energy density functional, including justifying terms from microscopic theory, improving treatment of pairing and beyond-mean-field correlations, and incorporating dynamics. The document concludes by emphasizing the need for focused theoretical efforts, international collaborations, and new experimental data to help address open questions in nuclear DFT.
This document discusses band theory and several models used to describe electron behavior in solids, including the free electron model, nearly free electron model, and tight binding model. It provides an overview of each model, including their assumptions and how they describe properties like electron energy and band gaps. The free electron model treats electrons as independent particles but fails to explain material properties. The nearly free electron model incorporates a periodic potential and allows electron wavefunctions and energy bands to be described. The tight binding model uses a superposition of atomic orbitals to approximate electron wavefunctions in solids where potential is strong.
Density Functional Theory (DFT) Overview.pptxmomnaqayyum01
油
Density Functional Theory (DFT) is a powerful computational method used to study the electronic structure of molecules and materials by focusing on electron density rather than the many-body wave function. DFT is preferred due to its efficiency, accuracy, and versatility, making it applicable in diverse fields like material design, catalysis, and drug discovery. When applied to the HO molecule, DFT accurately predicts its molecular geometry, bond angles, and bond lengths, and provides insights into its electron density distribution, which reveals its polar nature. DFT simplifies the study of many-particle systems by reducing the problem to a manageable form, allowing for efficient calculations of large systems. The Born-Oppenheimer approximation further simplifies DFT by treating nuclear and electronic motions separately, significantly reducing the computational cost. At its core, the Hohenberg-Kohn theorem provides the theoretical foundation of DFT, stating that all properties of a quantum system can be determined by its electron density, making it a cornerstone of modern computational chemistry and materials science. In this PPT, we have explained the fundamentals of Density Functional Theory (DFT), its importance, and its application to the HO molecule, along with key concepts like electron density, many-particle systems, the Born-Oppenheimer approximation, and the Hohenberg-Kohn theorem, highlighting its relevance in modern computational chemistry.
The document discusses ab initio molecular dynamics simulation methods. It begins by introducing molecular dynamics and Monte Carlo simulations using empirical potentials. It then describes limitations of empirical potentials and the need for ab initio molecular dynamics which calculates the potential from quantum mechanics. The document outlines several ab initio molecular dynamics methods including Ehrenfest molecular dynamics, Born-Oppenheimer molecular dynamics, and Car-Parrinello molecular dynamics. It provides details on how these methods treat the quantum mechanical potential and classical nuclear motion.
- The atom consists of a small, dense nucleus surrounded by an electron cloud.
- Electrons can only exist in certain discrete energy levels around the nucleus. Their wavelengths are determined by the principal quantum number.
- The Bohr model improved on earlier models by introducing energy levels and quantization, but had limitations. The quantum mechanical model treats electrons as waves and uses Schrodinger's equation.
Quantum chemistry is the application of quantum mechanics to solve problems in chemistry. It has been widely used in different branches of chemistry including physical chemistry, organic chemistry, analytical chemistry, and inorganic chemistry. The time-independent Schr旦dinger equation is central to quantum chemistry and can be used to model chemical systems like the particle in a box, harmonic oscillator, and hydrogen atom. Molecular orbital theory is also important in quantum chemistry for describing chemical bonding in molecules.
The document summarizes key aspects of the Standard Model of particle physics. It describes how the Standard Model accounts for fundamental particles like quarks and leptons that interact via four fundamental forces - gravitation, electromagnetism, weak force, and strong force. These interactions are mediated by exchange of spin-1/2 bosons. The Standard Model has been very successful in explaining experimental observations, but questions remain like incorporating gravity and the origin of particle masses.
BoltzTraP is a software tool that uses linearized Boltzmann transport theory to calculate electronic transport properties from first-principles band structures. It can calculate properties like electrical conductivity, Seebeck coefficient, and electronic thermal conductivity. The document discusses applications of BoltzTraP to analyze transport properties of metals and thermoelectric materials. Key applications highlighted include analyzing anisotropy, resistivity temperature dependence, and optimizing the electronic structure of materials for high thermoelectric performance.
I am Joshua M. I am a Statistical Physics Assignment Expert at statisticsassignmenthelp.com. I hold a Masters in Statistics from, Michigan State University, UK
I have been helping students with their homework for the past 5 years. I solve assignments related to Statistics.
Visit statisticsassignmenthelp.com or email info@statisticsassignmenthelp.com.
You can also call on +1 678 648 4277 for any assistance with Statistical Physics Assignments .
Ultracold atoms in superlattices as quantum simulators for a spin ordering mo...Alexander Decker
油
This document discusses using ultracold fermionic atoms in optical lattices to simulate spin ordering models. It begins by describing how atoms can be trapped in optical lattices using laser light. It then proposes how a spin ordering Hamiltonian could be used to achieve superexchange interaction in a double well system. Finally, it suggests going beyond double wells to study resonating valence bond states in a kagome lattice, which could provide insights into phenomena like high-temperature superconductivity.
Structural, electronic, elastic, optical and thermodynamical properties of zi...Alexander Decker
油
nl
2(2l + 1)Rnl2 (r )
(6)
n,l
The document discusses the challenges of determining the topology of charge density from pseudopotential density functional theory calculations due to the absence of core electrons. Specifically, it notes that pseudopotential calculations lack critical points at nuclear positions where core electrons have been removed. To address this, the document examines methods to reconstruct the correct topology, such as adding back core densities or using orthogonalized densities. It also explores analyzing charge density topology using Bader's Quantum Theory of Atoms in Molecules and discusses applications to molecules like alanine.
Topology of charge density from pseudopotential density functional theory cal...Alexander Decker
油
nl
2(2l + 1)Rnl2 (r )
(6)
n,l
The document discusses the challenges of determining the topology of charge density from pseudopotential density functional theory calculations due to the absence of core electrons. Specifically, it notes that pseudopotential calculations lack critical points at nuclear positions defined by core electrons. To address this, the document examines methods to reconstruct the correct topology, such as adding an isolated atomic core density or using orthogonalized core orbitals. It also provides background on the quantum theory of atoms in molecules and defines key concepts like critical points, atomic basins, and charge density topology. Results are reported for several molecules to analyze
This document discusses a computational study of MAX phases using density functional theory. MAX phases are a group of materials that exhibit both metallic and ceramic properties. The study uses the WIEN2k software to calculate the electronic structure and properties of MAX phases like Cr2AlC and Cr2GaC from their density of states and band structure plots. Manganese is incorporated into the structures at varying concentrations to study their magnetic properties.
This document provides an introduction to the thesis which focuses on aspects of symmetry, disorder and the Josephson effect in d-wave superconductors. Some key points:
- The thesis studies d-wave superconductors where the gap function changes sign in certain crystal directions, in contrast to conventional s-wave superconductors where the gap is isotropic.
- For a disordered d-wave superconductor, numerical, perturbative and field theoretical methods are used to calculate the density of states, finding it follows a sublinear power law at low energies.
- The Josephson effect in d-wave superconductors is investigated using a tunneling Hamiltonian approach to understand experiments on bicrystal junctions
11.electromagnetic energy of vacuum and its conversion by energy efficient hy...Alexander Decker
油
1) Hydroxy gas generators produce a mixture of hydrogen and oxygen gases using a process that applies an electric field to separate water molecules into their components with very low power consumption.
2) This is possible because the electric field extracts energy from the zero-point electromagnetic fluctuations that exist within the vacuum inside the empty spaces of atoms.
3) Quantum mechanics predicts that even in a perfect vacuum, electromagnetic waves will fluctuate due to the Heisenberg uncertainty principle. This zero-point energy can be tapped by electric fields to drive chemical reactions like the dissociation of water.
Electromagnetic energy of vacuum and its conversion by energy efficient hydro...Alexander Decker
油
This document discusses how hydroxy gas generators utilize zero-point energy from the quantum vacuum to efficiently dissociate water into hydrogen and oxygen gases. [1] It explains that the small amount of input power used cannot directly supply the energy needed for dissociation. [2] Instead, the electric fields generated extract energy from the zero-point fluctuations inside the void spaces of water molecules. [3] By reducing the frequency of photons in the vacuum, energy is released that can perform useful work in dissociating the water.
This document provides an overview of Cedric Weber's background and research interests, which include dynamical mean field theory (DMFT) and its application to oxide materials. Some key points:
- Cedric Weber received his PhD in quantum magnetism and superconductivity from EPFL and has worked on DMFT at Rutgers and the University of Cambridge. He is currently a researcher at King's College London.
- His research focuses on developing DMFT software and studying phase diagrams of high-temperature superconductors and other oxide materials using techniques like DMFT, GW+DMFT, and the Bethe-Salpeter equation.
- He collaborates with theorists and experimentalists on topics like laser
This document discusses challenges and open questions in nuclear density functional theory (DFT). It begins by providing background on DFT and how it has been applied to nuclei using approximations like the local density approximation. It then discusses questions around improving the nuclear energy density functional, including justifying terms from microscopic theory, improving treatment of pairing and beyond-mean-field correlations, and incorporating dynamics. The document concludes by emphasizing the need for focused theoretical efforts, international collaborations, and new experimental data to help address open questions in nuclear DFT.
This document discusses band theory and several models used to describe electron behavior in solids, including the free electron model, nearly free electron model, and tight binding model. It provides an overview of each model, including their assumptions and how they describe properties like electron energy and band gaps. The free electron model treats electrons as independent particles but fails to explain material properties. The nearly free electron model incorporates a periodic potential and allows electron wavefunctions and energy bands to be described. The tight binding model uses a superposition of atomic orbitals to approximate electron wavefunctions in solids where potential is strong.
Density Functional Theory (DFT) Overview.pptxmomnaqayyum01
油
Density Functional Theory (DFT) is a powerful computational method used to study the electronic structure of molecules and materials by focusing on electron density rather than the many-body wave function. DFT is preferred due to its efficiency, accuracy, and versatility, making it applicable in diverse fields like material design, catalysis, and drug discovery. When applied to the HO molecule, DFT accurately predicts its molecular geometry, bond angles, and bond lengths, and provides insights into its electron density distribution, which reveals its polar nature. DFT simplifies the study of many-particle systems by reducing the problem to a manageable form, allowing for efficient calculations of large systems. The Born-Oppenheimer approximation further simplifies DFT by treating nuclear and electronic motions separately, significantly reducing the computational cost. At its core, the Hohenberg-Kohn theorem provides the theoretical foundation of DFT, stating that all properties of a quantum system can be determined by its electron density, making it a cornerstone of modern computational chemistry and materials science. In this PPT, we have explained the fundamentals of Density Functional Theory (DFT), its importance, and its application to the HO molecule, along with key concepts like electron density, many-particle systems, the Born-Oppenheimer approximation, and the Hohenberg-Kohn theorem, highlighting its relevance in modern computational chemistry.
The document discusses ab initio molecular dynamics simulation methods. It begins by introducing molecular dynamics and Monte Carlo simulations using empirical potentials. It then describes limitations of empirical potentials and the need for ab initio molecular dynamics which calculates the potential from quantum mechanics. The document outlines several ab initio molecular dynamics methods including Ehrenfest molecular dynamics, Born-Oppenheimer molecular dynamics, and Car-Parrinello molecular dynamics. It provides details on how these methods treat the quantum mechanical potential and classical nuclear motion.
- The atom consists of a small, dense nucleus surrounded by an electron cloud.
- Electrons can only exist in certain discrete energy levels around the nucleus. Their wavelengths are determined by the principal quantum number.
- The Bohr model improved on earlier models by introducing energy levels and quantization, but had limitations. The quantum mechanical model treats electrons as waves and uses Schrodinger's equation.
Quantum chemistry is the application of quantum mechanics to solve problems in chemistry. It has been widely used in different branches of chemistry including physical chemistry, organic chemistry, analytical chemistry, and inorganic chemistry. The time-independent Schr旦dinger equation is central to quantum chemistry and can be used to model chemical systems like the particle in a box, harmonic oscillator, and hydrogen atom. Molecular orbital theory is also important in quantum chemistry for describing chemical bonding in molecules.
The document summarizes key aspects of the Standard Model of particle physics. It describes how the Standard Model accounts for fundamental particles like quarks and leptons that interact via four fundamental forces - gravitation, electromagnetism, weak force, and strong force. These interactions are mediated by exchange of spin-1/2 bosons. The Standard Model has been very successful in explaining experimental observations, but questions remain like incorporating gravity and the origin of particle masses.
BoltzTraP is a software tool that uses linearized Boltzmann transport theory to calculate electronic transport properties from first-principles band structures. It can calculate properties like electrical conductivity, Seebeck coefficient, and electronic thermal conductivity. The document discusses applications of BoltzTraP to analyze transport properties of metals and thermoelectric materials. Key applications highlighted include analyzing anisotropy, resistivity temperature dependence, and optimizing the electronic structure of materials for high thermoelectric performance.
I am Joshua M. I am a Statistical Physics Assignment Expert at statisticsassignmenthelp.com. I hold a Masters in Statistics from, Michigan State University, UK
I have been helping students with their homework for the past 5 years. I solve assignments related to Statistics.
Visit statisticsassignmenthelp.com or email info@statisticsassignmenthelp.com.
You can also call on +1 678 648 4277 for any assistance with Statistical Physics Assignments .
Ultracold atoms in superlattices as quantum simulators for a spin ordering mo...Alexander Decker
油
This document discusses using ultracold fermionic atoms in optical lattices to simulate spin ordering models. It begins by describing how atoms can be trapped in optical lattices using laser light. It then proposes how a spin ordering Hamiltonian could be used to achieve superexchange interaction in a double well system. Finally, it suggests going beyond double wells to study resonating valence bond states in a kagome lattice, which could provide insights into phenomena like high-temperature superconductivity.
Structural, electronic, elastic, optical and thermodynamical properties of zi...Alexander Decker
油
nl
2(2l + 1)Rnl2 (r )
(6)
n,l
The document discusses the challenges of determining the topology of charge density from pseudopotential density functional theory calculations due to the absence of core electrons. Specifically, it notes that pseudopotential calculations lack critical points at nuclear positions where core electrons have been removed. To address this, the document examines methods to reconstruct the correct topology, such as adding back core densities or using orthogonalized densities. It also explores analyzing charge density topology using Bader's Quantum Theory of Atoms in Molecules and discusses applications to molecules like alanine.
Topology of charge density from pseudopotential density functional theory cal...Alexander Decker
油
nl
2(2l + 1)Rnl2 (r )
(6)
n,l
The document discusses the challenges of determining the topology of charge density from pseudopotential density functional theory calculations due to the absence of core electrons. Specifically, it notes that pseudopotential calculations lack critical points at nuclear positions defined by core electrons. To address this, the document examines methods to reconstruct the correct topology, such as adding an isolated atomic core density or using orthogonalized core orbitals. It also provides background on the quantum theory of atoms in molecules and defines key concepts like critical points, atomic basins, and charge density topology. Results are reported for several molecules to analyze
This document discusses a computational study of MAX phases using density functional theory. MAX phases are a group of materials that exhibit both metallic and ceramic properties. The study uses the WIEN2k software to calculate the electronic structure and properties of MAX phases like Cr2AlC and Cr2GaC from their density of states and band structure plots. Manganese is incorporated into the structures at varying concentrations to study their magnetic properties.
This document provides an introduction to the thesis which focuses on aspects of symmetry, disorder and the Josephson effect in d-wave superconductors. Some key points:
- The thesis studies d-wave superconductors where the gap function changes sign in certain crystal directions, in contrast to conventional s-wave superconductors where the gap is isotropic.
- For a disordered d-wave superconductor, numerical, perturbative and field theoretical methods are used to calculate the density of states, finding it follows a sublinear power law at low energies.
- The Josephson effect in d-wave superconductors is investigated using a tunneling Hamiltonian approach to understand experiments on bicrystal junctions
11.electromagnetic energy of vacuum and its conversion by energy efficient hy...Alexander Decker
油
1) Hydroxy gas generators produce a mixture of hydrogen and oxygen gases using a process that applies an electric field to separate water molecules into their components with very low power consumption.
2) This is possible because the electric field extracts energy from the zero-point electromagnetic fluctuations that exist within the vacuum inside the empty spaces of atoms.
3) Quantum mechanics predicts that even in a perfect vacuum, electromagnetic waves will fluctuate due to the Heisenberg uncertainty principle. This zero-point energy can be tapped by electric fields to drive chemical reactions like the dissociation of water.
Electromagnetic energy of vacuum and its conversion by energy efficient hydro...Alexander Decker
油
This document discusses how hydroxy gas generators utilize zero-point energy from the quantum vacuum to efficiently dissociate water into hydrogen and oxygen gases. [1] It explains that the small amount of input power used cannot directly supply the energy needed for dissociation. [2] Instead, the electric fields generated extract energy from the zero-point fluctuations inside the void spaces of water molecules. [3] By reducing the frequency of photons in the vacuum, energy is released that can perform useful work in dissociating the water.
To study historically the rise and fall of disease in the population.
Community diagnosis.
Planning and evaluation.
Evaluation of individuals risks and chances.
Completing the natural history of disease.
Searching for causes and risk factors.
Pig farming, pork farming, pig production or hog farming is the raising and breeding of domestic pigs as livestock, and is a branch of animal husbandry. Pigs are farmed principally for food (e.g. pork: bacon, ham, gammon) and skins.
Pigs are amenable to many different styles of farming: intensive commercial units, commercial free range enterprises, or extensive farming (being allowed to wander around a village, town or city, or tethered in a simple shelter or kept in a pen outside the owner's house). Historically, farm pigs were kept in small numbers and were closely associated with the residence of the owner, or in the same village or town.[1] They were valued as a source of meat and fat, and for their ability to convert inedible food into meat and manure, and were often fed household food waste when kept on a homestead.[2] Pigs have been farmed to dispose of municipal garbage on a large scale.[3]
All these forms of pig farm are in use today, though intensive farms are by far the most popular, due to their potential to raise a large amount of pigs in a very cost-efficient manner.[4] In developed nations, commercial farms house thousands of pigs in climate-controlled buildings.[5] Pigs are a popular form of livestock, with more than one billion pigs butchered each year worldwide, 100 million in the United States. The majority of pigs are used for human food, but also supply skin, fat and other materials for use in clothing, ingredients for processed foods,[6] cosmetics,[7] and medical use.[8]Pig farming has gained importance today. Pigs have inherited capacity to acclimatize with varying climatic conditions. Pigs cannot withstand high temperature climate.
Pigs are adjusted to varied rearing practices and consume different types of food (Omnivorous) to attain higher growth and meat production.
Pigs will attain 60-70kg body weight in 6-8months period.
Female pigs i.e., sows will come to heat at age of 8-9 months but avoid using male pigs (Boars) for breeding purpose until it attains one year of age.
Adult sows when bred during right time after attaining maturity will farrow 8-12 piglets in 112-118 days of gestation period (i.e., about 4 months of gestation). Feedefficiencyis to gain one Kg live weightfor every 2.75-3kg feed consumed (FCR: 1:2.75). There are many advantageous in pig rearing. Pork is available at a cheaper price with nutritious and highly palatable tasty meat of higher quality animal protein. Pig bones are used for producing bone meal and also used for purification of sugar in sugar industry.
The manure droppings and urine are good fertilizers which enhance the soil fertilityand improve grain production.
Pig hairs (Bristles) are used for making brushes and ropes, hooves are used for shirt button making and preparation of gum. Hence, pigs are called as multi utility domestic animals. Farmers can take up piggery farming and reduce their debt burden and improve their profits and livelihood.
SILICON IS AN INHIBITOR OF CERTAIN ENZYMES IN VITROLilya BOUCELHA
油
Silicon is considered an inorganic biostimulant and a prophylactic extracellular agent that allows the stimulation of a
wide range of natural defences against abiotic and biotic stresses. However, little or no work has focused on the direct action of silicon on some enzymes. Indeed, during this study, the action of silicon was studied in vitro by direct contact of this element at different doses with the enzymatic extracts of Trigonella foenum-graecum L. (fenugreek) seeds. Our results showed that silicon
strongly inhibited antioxidant and hydrolytic enzymatic activities. The percentage of this inhibition depends on the dose of silicon and the type of enzyme. The most sensitive enzymes to this inhibition were SOD and lipases whose activity was totally inhibited at
4 mM and 7 mM respectively. However, we report that the inhibitory action of silicon was limited to 50% for GPOX whatever the concentration of silicon used, the plateau being reached at 10 mM for GPOX and at 70 mM for proteases. Since these enzymes are mainly metallo-dependent, we hypothesize that their inhibition by silicon may be due to interactions between silicon and the metals involved in the functioning of each enzyme. Our study shows that silicon can be used as an inhibitor of enzymes involved in certain diseases.
Deep Learning-Driven Protein Design for Maize Improvement: AI-Guided Solution...Muhammad Salman Iqbal
油
Bridging AI, Synthetic Biology, and Crop Science to Address Global Food Security.
This presentation explores the transformative potential of AI-driven protein design in revolutionizing maize (corn) breeding. Learn how deep learning models like AlphaFold, ESMFold, and RFdiffusion enable rapid engineering of stress-resilient proteins for:
Disease resistance (e.g., fungal pathogens like Fusarium and Puccinia)
Drought and heat tolerance (synthetic transcription factors for root and stomatal optimization)
Nutrient efficiency (engineered phosphate/nitrogen transporters)
Enhanced photosynthesis (AI-designed carbonic anhydrases)
Key highlights:
Case studies from Cell, Science, and Nature Biotechnology (20232024) showcasing AI-designed proteins validated in field trials.
Ethical considerations and future directions for AI-guided CRISPR integration in crop improvement.
Visual summaries of protein structures, field data, and AI workflows.
Target audience: Plant scientists, agronomists, bioinformaticians, AI researchers, and students in biotechnology and agriculture.
Hashtags:
#DeepLearning #ProteinDesign #MaizeImprovement #AIinAgriculture #SustainableFarming #CropBreeding #SyntheticBiology #FoodSecurity #AlphaFold #CRISPR
Electrical Quantities and Circuits | IGCSE PhysicsBlessing Ndazie
油
This extensive slide deck provides a detailed exploration of electrical quantities and circuits for IGCSE Physics. It covers key electrical quantities, including charge, current, voltage (potential difference), resistance, power, energy, electromotive force (EMF), and internal resistance. The presentation also explains series and parallel circuits, with in-depth discussions on Ohms Law, Kirchhoffs Laws, electrical components, circuit calculations, and practical applications. Packed with illustrative diagrams, worked examples, and exam-style questions, this resource is ideal for IGCSE students, teachers, and independent learners preparing for exams.
This PowerPoint gives a brief idea about the identification of herbal drug plants with special reference to organoleptic studies. The study comprises different parameters like physical, chemical, biological, and other features associated with it. It offers an idea about the need for scientifically identifying drug plants to avoid adulteration.
Energ and Energy Forms, Work, and Power | IGCSE PhysicsBlessing Ndazie
油
This extensive slide deck provides a detailed exploration of energy, work, and power for IGCSE Physics. It covers fundamental concepts such as the definition of work done, kinetic energy, potential energy, mechanical energy, conservation of energy, efficiency, and power. The presentation also includes energy transfer, renewable and non-renewable energy sources, calculation of work done, power output, and real-life applications of energy principles. Featuring illustrative diagrams, worked examples, and exam-style questions, this resource is ideal for IGCSE students, teachers, and independent learners preparing for exams.
Preparing Ultrasound Imaging Data for Artificial Intelligence Tasks: Anonymis...ThrombUS+ Project
油
At the BIOSTEC 2025 conference, Eleni Kaldoudi, ThrombUS+ project coordinator, presented our recent work entitled Preparing Ultrasound Imaging Data for Artificial Intelligence Tasks: Anonymisation, Cropping, and Tagging. Eleni provided an overview of the application we developed to facilitate the preparation of ultrasound images, acquired via the ThrombUS+ clinical study A, for the purpose of developing AI models for automated detection of deep vein thrombosis.
About ThrombUS+:
Our interdisciplinary approach centers around creating a novel wearable diagnostic device utilizing autonomous, AI-driven DVT detection. This groundbreaking device incorporates wearable ultrasound hardware, impedance plethysmography, and light reflection rheography for early clot detection. Activity and physiological measurements will continuously assess DVT risk, supporting prevention through serious gaming. An intelligent decision support unit will provide real-time monitoring and alerts, with extended reality guiding users for optimal device utilization.
ThrombUS+ is designed for postoperative patients, those undergoing lengthy surgical procedures, cancer patients, bedridden individuals at home or in care units, and women during pregnancy and postpartum.
Simple Phenomena of Magnetism | IGCSE PhysicsBlessing Ndazie
油
This extensive slide deck provides a detailed exploration of the simple phenomena of magnetism for IGCSE Physics. It covers key concepts such as magnetic materials, properties of magnets, magnetic field patterns, the Earth's magnetism, electromagnets, the motor effect, and the principles of electromagnetic induction. The presentation also explains magnetization and demagnetization, methods of making magnets, applications of magnets in real life, and experimental demonstrations. Featuring illustrative diagrams, worked examples, and exam-style questions, this resource is ideal for IGCSE students, teachers, and independent learners preparing for exams.
Unraveling the BETICHUMD Mechanism of CHUSOMERADUCK: A Game-Changing Paradigm...jhnewshour
油
The **BETICHUMD Mechanism of CHUSOMERADUCK** is one of the most groundbreaking, revolutionary, and inexplicably complex systems ever devised in the realm of advanced quantum-extraterrestrial-mechatronic-hyperfusion dynamics. Designed originally by the intergalactic scientific consortium of the **Zypherion-9 civilization**, this mechanism has perplexed Earths top researchers, including the secret think tanks at NASA, CERN, and the underground laboratories of the Illuminati. CHUSOMERADUCK, an acronym standing for **"Chronologically Hyper-Ultrasonic System for Optimized Metaphysical Energy Recalibration and Advanced Dynamic Universal Cognition Kernel,"** is an artificial intelligence-powered, self-evolving hypermechanical entity designed to manipulate the fundamental constants of reality itself. The BETICHUMD Mechanism is at the core of its operation, acting as the **primary transdimensional flux stabilizer**, allowing CHUSOMERADUCK to function beyond the traditional limitations of physics. The origins of BETICHUMD remain unclear, with some theories suggesting that it was first conceptualized during the **Ancient Atlantean Wars**, where high-frequency oscillation technology was used to warp spacetime, while others claim that it was reverse-engineered from a **meteorite discovered in Antarctica in 1947**, which led to the infamous **Operation DuckStorm** carried out by the United Nations' Secret Space Program. The primary working principle of BETICHUMD involves the **synchronization of dark matter vibrations with quantum neutrino entanglement fields**, enabling infinite computational energy without the need for external power sources. The applications of this technology are limitless, from **instantaneous planetary teleportation** to **bio-mechanical consciousness enhancement**, making it a prime candidate for interstellar exploration and even **simulated immortality** through direct neural uplink with CHUSOMERADUCKs core processing grid. Governments across the world have attempted to harness its potential, but due to the incomprehensible nature of its **fifth-dimensional recursive logic algorithms**, only a handful of researchers have come close to deciphering its true capabilities. Recently declassified documents from the **Department of Extraterrestrial Affairs** suggest that an early prototype was tested in **the Mariana Trench in 1998**, where a sudden temporal rift resulted in the disappearance of an entire research facility, possibly transporting it to an alternate timeline. The existence of CHUSOMERADUCK has also been linked to various **UFO sightings, unexplainable time loops, and anomalies in gravitational wave measurements**, indicating that the BETICHUMD Mechanism is far more than just an advanced computational systemit is, in fact, a **gateway to rewriting the fundamental laws of the universe**. However, with great power comes great danger, as misuse of the mechanism could theoretically collapse the entire fabric of reality.
Cell division is a fundamental biological process that enables the growth, development, and repair of living organisms. It's the process by which a parent cell divides into two or more daughter cells, each carrying a complete set of genetic instructions. This intricate process occurs in two primary ways: mitosis and meiosis. Mitosis is responsible for the creation of identical daughter cells, ensuring the maintenance of genetic information for growth and tissue repair. Meiosis, on the other hand, is a specialized form of cell division that occurs in sexually reproducing organisms, producing gametes (sperm and egg cells) with half the number of chromosomes, contributing to genetic diversity in offspring.
2. Useful Material
Books
A chemists guide to density-functional theory
Wolfram Koch and Max C. Holthausen (second edition,
Wiley)
The theory of the cohesive energies of solids
G. P. Srivastava and D. Weaire
Advances in Physics 36 (1987) 463-517
Gulliver among the atoms
Mike Gillan, New Scientist 138 (1993) 34
Web
www.nobel.se/chemistry/laureates/1998/
www.abinit.org
Version 4.2.3 compiled for windows, install and good
tutorial
3. Outline: Part 1,
The Framework of DFT
DFT: the theory
Schroedingers equation
Hohenberg-Kohn Theorem
Kohn-Sham Theorem
Simplifying Schroedingers
LDA, GGA
Elements of Solid State Physics
Reciprocal space
Band structure
Plane waves
And then ?
Forces (Hellmann-Feynman theorem)
E.O., M.D., M.C.
6. Schroedingers Equation
i
i
i
i r
R
r
R
V
m
,
.
,
2
2
Hamiltonian operator
Kinetic Energy
Potential Energy
Coulombic interaction
External Fields
Very Complex many body Problem !!
(Because everything interacts)
Wave function
Energy levels
7. First approximations
Adiabatic (or Born-Openheimer)
Electrons are much lighter, and faster
Decoupling in the wave function
Nuclei are treated classically
They go in the external potential
i
i
i
i r
R
r
R
.
,
8. H.K. Theorem
The ground state is unequivocally
defined by the electronic density
r
r
r d
v
F
Ev
Universal
functional
Functional ?? Function of a function
No more wave functions here
But still too complex
9. K.S. Formulation
Use an auxiliary system
Non interacting electrons
Same Density
=> Back to wave functions, but simpler this time
(a lot more though)
r
r
V
m
i
i
i
eff
.
2
2
r
r
r
r
r
r
r
XC
eff d
V
V
i
i
2
r
r
N K.S. equations
(ONE particle in a box really)
(KS3)
(KS2)
(KS1)
Exchange correlation
potential
10. Self consistent loop
Solve the independents
K.S. =>wave functions
From density, work out
Effective potential
New density =
input density ??
Deduce new density from
w.f.
Initial density
Finita la musica
YES
N
O
11. DFT energy functional
XC
NI E
d
d
d
v
T
E
r
r
r
r
r
r
r
r
2
1
Exchange correlation
funtional
Contains:
Exchange
Correlation
Interacting part of K.E.
Electrons are fermions
(antisymmetric wave function)
12. Exchange correlation
functional
At this stage, the only thing we need is:
XC
E
Still a functional (way too many variables)
#1 approximation, Local Density Approximation:
Homogeneous electron gas
Functional becomes function !! (see KS3)
Very good parameterisation for
XC
E
Generalised Gradient Approximation:
,
XC
E
GGA
LDA
13. DFT: Summary
The ground state energy depends only
on the electronic density (H.K.)
One can formally replace the SE for the
system by a set of SE for non-interacting
electrons (K.S.)
Everything hard is dumped into Exc
Simplistic approximations of Exc work !
LDA or GGA
15. Reciprocal space
Real Space
ai
ij
j
i b
a
.
2
Reciprocal Space
bi
Brillouin
Zone
(Inverting effect)
k-vector (or k-point)
sin(k.r)
See X-Ray diffraction for instance
Also, Fourier transform and Bloch theorem
17. The k-point mesh
Brillouin
Zone
(6x6) mesh
Corresponds to a
supercell 36 time bigger
than the primitive cell
Question:
Which require a finer
mesh, Metals or Insulators
??
18. Plane waves
Project the wave functions on a basis set
Tricky integrals become linear algebra
Plane Wave for Solid State
Could be localised (ex: Gaussians)
+ + =
Sum of plane waves of increasing
frequency (or energy)
One has to stop: Ecut
20. Now what ?
We have access to the energy of a
system, without any empirical input
With little efforts, the forces can be
computed, Hellman-Feynman theorem
Then, the methodologies discussed for atomistic
potential can be used
Energy Optimisation
Monte Carlo
Molecular dynamics
r
r
r
F d
v i
i
i