Area of research
Materials Chemistry · Biomedical Engineering
Research interest
Research interests include Machine Learning in Materials Science, X-ray Diffraction in Crystallography, Advanced Materials Characterization Techniques, and Electronic and Structural Properties of Oxides.
AutoMat: Automated materials discovery for electrochemical systems
Can machine learning identify the next high-temperature superconductor? Examining extrapolation performance for materials discovery
Strategies for accelerating the adoption of materials informatics
Data-Driven Materials Investigations: The Next Frontier in Understanding and Predicting Fatigue Behavior
High-Throughput Machine-Learning-Driven Synthesis of Full-Heusler Compounds
Perspective: Web-based machine learning models for real-time screening of thermoelectric materials properties
The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies
Data mining our way to the next generation of thermoelectrics
Combinatorial screening for new materials in unconstrained composition space with machine learning
Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)