PhD Candidates
Priyanka Reddy
Priyanka trains ML potentials that predict alloy properties orders of magnitude faster than first-principles methods. Her materials-informatics pipeline expertise fits a company building data-driven materials-discovery platforms.
Details
- Advisor
- Dr. Elif Ertekin
- Field
- Materials Informatics
- Institution
- University of Illinois Urbana-Champaign
- Skills
- PythonDFTMachine LearningHigh-Throughput ComputingMaterials DatabasesBayesian Optimization
- Thesis
- Machine-learning interatomic potentials for accelerated alloy discovery
- Transition Signals
- Internship at Citrine InformaticsCo-authored with industry materials scientistsOpen-sourced a potential-fitting toolkit