Publications, Activities, and Awards
- Accelerating the Discovery of Materials with Machine Learning: Potential Roadblocks and How to Overcome Them
- Classification of Half-Heusler Compounds through Machine Learning Approaches
- Classification of Half-Heusler Compounds through Machine-Learning Approaches
- Design of Experiments and Machine Learning-Assisted Organic Solar Cell Efficiency Optimization
- Discovery of Noncentrosymmetric Ternary Compounds from Elemental Composition: A Machine-Learning Approach
- Discovery of ternary noncentrosymmetric compounds: A machine-learning approach with experimental proof
- Disentangling Structural Confusion through Machine Learning: Structure Prediction and Polymorphism of Equiatomic Ternary Phases ABC
- Effectively Exploring Parameter Space: Design of Experiments and Machine Learning-assisted Organic Solar Cell Efficiency Optimization
- How large is an atom?
- How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics
- Introduction to Machine Learning: A Practical Workshop
- Invited talk: ACS national meeting, Boston
- Optimization of Organic Solar Cell Efficiency via Machine Learning and Design of Experiments
- Predicting noncentrosymmetric quaternary tellurides using machine learning
- Solving the Colouring Problem in Half- Heusler Structures: Machine-Learning Predictions and Experimental Validation
- Solving the Colouring Problem in Half-Heusler Structures: Machine-Learning Predictions and Experimental Validation