RESEARCH

Publications:

• High-entropy alloy electrocatalysts screened using machine learning informed by quantum-inspired similarity analysis, Yuxin Chang, Ian Benlolo, Yang Bai, Christoff Reimer, Daojin Zhou, Hengrui Zhang, Hidetoshi Matsumura, Hitarth Choubisa, Xiao-Yan Li, Wei Chen, and others.

• Closed-loop Error Correction Learning Accelerates Experimental Discovery of Thermoelectric Materials, Hitarth Choubisa, Md Azimul Haque, Tong Zhu, Lewei Zeng, Maral Vafaie, Derya Baran, and Edward H. Sargent, 2023

• Accelerated chemical space search using a quantum-inspired cluster expansion approach, Hitarth Choubisa, Jehad Abed, Douglas Mendoza, Hidetoshi Matsumura, Masahiko Sugimura, Zhenpeng Yao, Ziyun Wang, Brandon R. Sutherland, Alán Aspuru-Guzik, and Edward H. Sargent, 2022

• Interpretable discovery of new semiconductors with machine learning, Hitarth Choubisa , Petar Todorović, Joao M. Pina, Darshan H. Parmar, Ziliang Li, Oleksandr Voznyy, Isaac Tamblyn, Edward Sargent, 2021

• Solvent‐Assisted Kinetic Trapping in Quaternary Perovskites Parmar, Darshan H., Joao M. Pina, Hitarth Choubisa, Golam Bappi, Koen Bertens, and Edward H. Sargent. “Solvent‐Assisted Kinetic Trapping in Quaternary Perovskites.” Advanced Materials (2021): 2008690.

• Deep‐Blue Perovskite Single‐Mode Lasing through Efficient Vapor‐Assisted Chlorination, Pina, Joao M., Darshan H. Parmar, Golam Bappi, Chun Zhou, Hitarth Choubisa, Maral Vafaie, Amin M. Najarian et al. Advanced Materials (2020): 2006697.

• Crystal Site Feature Embedding Enables Exploration of Large Chemical Spaces, Choubisa, Hitarth, Mikhail Askerka, Kevin Ryczko, Oleksandr Voznyy, Kyle Mills, Isaac Tamblyn, and Edward H. Sargent. Matter (2020).

• High Color Purity Lead‐Free Perovskite Light‐Emitting Diodes via Sn Stabilization, Liang, Hongyan, Fanglong Yuan, Andrew Johnston, Congcong Gao, Hitarth Choubisa, Yuan Gao, Ya‐Kun Wang et al. Advanced Science 7, no. 8 (2020): 1903213.

• Performance prediction for large area perovskite solar cells, Raote, Yojak, Hitarth Choubisa, and Pradeep R. Nair. “Performance Prediction for Large Area Perovskite Solar Cells.” In 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), pp. 1022-1024. IEEE, 2017.

Academic history:

PhD, Electrical & Computer Engineering, University of Toronto

• Research at the crossroads of machine learning and quantum physics
• September 2018 - November 2022

Bachelor of Technology, Electrical Engineering, Indian Institute of Technology - Bombay

• With HONORS in Electrical Engineering & MINOR in Computer Science & engineering(CSE)
• July 2013 - May 2017