Richard Hennig

Towards a Bonding-Driven Paradigm for the Discovery and Design of Ultrahard and Tough Materials

DMREF: NSF-DFG: AI-Driven Design of Superconducting Materials for Magnets (AISuper)

MoISSI Software Fellowship for Bariana Bowman

Atomistic modeling of Lithium Lanthanum Zirconium Oxide (LLZO) using Machine Learning

GOALI: Frameworks: At-Scale Heterogeneous Data Based Adaptive Development Platform for Machine-Learning Models for Material and Chemical Discovery

EAGER: SSMCDAT2023: Database generation to identify trends in inter- and intra-polyhedral connectivity and energy storage behavior

Modeling Anomalous Silicon Nitride Crystallization using Machine Learning

DMREF: AI-Accelerated Design of Synthesis Routes for Metastable Materials

MolSSI Software Fellowship

Development of High Energy Density Thermomagnetic Processing Technology for Intensification of Industrial Heat-treatment and Increased Material Performance

Materials Informatics Methods for Surface Structures

QLCI-CG: Conceptualization of the Institute for Quantum Biology on Quantum Computers

Data-science enabled discovery of superconductors

DMR-2D Data Framework Supplement

Center for Molecular Magnetic Quantum Materials

S12-SSE: Software for Semiconductor and Electrochemical Interfaces (SSEI)

Database of Dopants and Defects in 2D Materials

Materials Informatics for Uncertainty Quantifications and Validation of Exchange-Correlation Functionals for Complex Materials Properties

Collaborative Research: SusChEM: Understanding Hydrogen Interactions with Metastable Surfaces for Tunable Catalysis Systems

Center for Bright Beams

Lightweight High Temperature Alloys Based on the AlFeSi System

Design and Synthesis of New Lead-free Organometallic Halide Perovskite Materials