Hitarth Choubisa

University of Toronto — Canada

Materials Science · Physical Sciences

10h-index1.5kcitations18works18.02yr avg
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Research Topics

Machine Learning in Materials Science(9), Perovskite Materials and Applications(7), Quantum Dots Synthesis And Properties(5), Electrocatalysts for Energy Conversion(4), Computational Drug Discovery Methods(3)

Publications18 total

Nanoscale Decoupling of Carrier–Phonon Transport in Carbon Nanotube–Halide Perovskite Heterostructures
Advanced Science·2025· 3 citedOpen Access
High-entropy alloy electrocatalysts screened using machine learning informed by quantum-inspired similarity analysis
Matter·2024· 33 cited
Interpretable discovery of semiconductors with machine learning
npj Computational Materials·2023· 33 citedOpen Access
Closed‐Loop Error‐Correction Learning Accelerates Experimental Discovery of Thermoelectric Materials
Advanced Materials·2023· 10 citedOpen Access
Supramolecular tuning of supported metal phthalocyanine catalysts for hydrogen peroxide electrosynthesis
Nature Catalysis·2023· 260 citedOpen Access
Accelerating the Discovery of Materials for Energy Capture and Energy Storage Using Quantum Chemistry and Machine Learning
TSpace·2023Open Access
Closed-loop Error Correction Learning Accelerates Experimental Discovery of Thermoelectric Materials
arXiv (Cornell University)·2023Open Access
Accelerated chemical space search using a quantum-inspired cluster expansion approach
Matter·2022· 23 cited
Accelerated chemical space search using a quantum-inspired cluster expansion approach
arXiv (Cornell University)·2022· 1 citedOpen Access
Accelerated Chemical Space Search Using a Quantum-Inspired Cluster Expansion Approach
SSRN Electronic Journal·2022· 1 citedOpen Access
Distribution control enables efficient reduced-dimensional perovskite LEDs
Nature·2021· 698 cited
Facet‐Oriented Coupling Enables Fast and Sensitive Colloidal Quantum Dot Photodetectors
Advanced Materials·2021· 77 cited
Solvent‐Assisted Kinetic Trapping in Quaternary Perovskites
Advanced Materials·2021· 8 cited
Interpretable discovery of new semiconductors with machine learning
arXiv (Cornell University)·2021· 5 citedOpen Access
Deep‐Blue Perovskite Single‐Mode Lasing through Efficient Vapor‐Assisted Chlorination
Advanced Materials·2020· 50 citedOpen Access
Crystal Site Feature Embedding Enables Exploration of Large Chemical Spaces
Matter·2020· 43 citedOpen Access
High Color Purity Lead‐Free Perovskite Light‐Emitting Diodes via Sn Stabilization
Advanced Science·2020· 224 citedOpen Access
Performance Prediction for Large Area Perovskite Solar Cells
2017 IEEE 44th Photovoltaic Specialist Conference (PVSC)·2017· 2 cited

Frequent Co-authors

Edward H. Sargent(16), Maral Vafaie(4), Oleksandr Voznyy(4), João M. Pina(4), Darshan H. Parmar(4), Isaac Tamblyn(4), Yitong Dong(3), Bin Chen(3), Laxmi Kishore Sagar(3), Golam Bappi(3), Sjoerd Hoogland(3), Petar Todorović́(3), Koen Bertens(3), Jehad Abed(3), Douglas Mendoza(3), Zhenpeng Yao(3), Ziyun Wang(3), Brandon R. Sutherland(3), Alán Aspuru‐Guzik(3), Md Azimul Haque(3)