3D Microstructure Generation for Organic Photovoltaics (Key Contributor)

Developed a high-resolution, over one million pixels, conditional 3D microstructure generation system using a combined VAE and Diffusion model architecture to generate new microstructures on demand.

Efficient Characterization of Virtual Organic Semiconductor Devices (Key
Contributor)

Achieved over 400x performance enhancement in characterizing virtual organic semiconductor devices compared to full physics finite element method based Frameworks. Integrated a surrogate model with an adaptive Bayesian approach for high throughput analysis.

Chemistry-Aware ML Model for OPV Device Analysis (Key Contributor)

Developed a machine learning model focusing on the chemical aspects of virtual Organic Photovoltaic (OPV) device characterization, enabling rapid characterization and morphology optimization.

Supporting Role in Cloud-Based Data Management System for ML Development

Assisted in engineering a backend system using Python, FastAPI, MongoDB, and Docker. This system enabled data exchange across universities, managing over 100 billion data points, with features like data filtering, file and JSON metadata integration, and QR code tracking.