Enabling Data Science Methods for Catalyst Design and Discovery from aimsnist

A Framework and Infrastructure for Uncertainty Quantification and Management in Materials Design from aimsnist

Predicting local atomic structures from X-ray absorption spectroscopy using theory and machine learning from aimsnist

Smart Metrics for High Performance Material Design from aimsnist

Graphs, Environments, and Machine Learning for Materials Science from aimsnist

A Machine Learning Framework for Materials Knowledge Systems from aimsnist

When The New Science Is In The Outliers from aimsnist

The MGI and AI from aimsnist

Failing Fastest: What an Effective HTE and ML Workflow Enables for Functional Metallic Glasses from aimsnist

How to Leverage Artificial Intelligence to Accelerate Data Collection and Analysis of Diffusion Multiples from aimsnist

Coupling AI with HiTp experiments to Discover Metallic Glasses Faster from aimsnist

“Materials Informatics and Big Data: Realization of 4th Paradigm of Science in Materials Science from aimsnist

Data Mining to Discovery for Inorganic Solids: Software Tools and Applications from aimsnist

Autonomous experimental phase diagram acquisition from aimsnist

Classical force fields as physics-based neural networks from aimsnist

Pathways Towards a Hierarchical Discovery of Materials from aimsnist

Automated Generation of High-accuracy Interatomic Potentials Using Quantum Data from aimsnist

Polymer Genome: An Informatics Platform for Polymer Dielectrics Discovery and Beyond from aimsnist

Materials Data in Action from aimsnist

2D/3D Materials screening and genetic algorithm with ML model from aimsnist