My Current Research

My research interest is design and discovery of advanced materials using first-principles electronic structure methods and machine learning. Methods include wavefunction-based methods (HF, QMC, quantum chemistry), density functional theory (DFT), property prediction using ML, and inverse matrials design using generative AI.

Focus Areas

Materials for Alternative Energy

Focus: Efficient hydrogen evolution (HER) and oxygen evolution (OER) catalysts. Seeking inexpensive materials to replace platinum in acidic media.

Selected Publications:

AI-aided Materials Design

Using High Throughput Computation (HTC) and Machine Learning (ML) for material discovery. Screening and designing materials with desired properties, including inverse design with Variational Autoencoders (VAE).

Selected Publications:

2D Materials

Exploring two-dimensional materials for their novel properties and applications.

Selected Publications:

Magnetic Materials

Understanding and designing magnetic materials, especially rare-earth-free permanent magnets, using Machine Learning methods.

Selected Publications: