Vinayak Bhat

Assistant Professor

Columbia University Columbia College

United States

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About

Vinayak Bhat is an Assistant Professor at Columbia College, USA. His research focuses on the computational approaches in organic semiconductors, exploring areas such as charge-carrier mobilities and intermolecular electronic couplings. Recent publications highlight advancements in machine learning applications for predicting molecular properties and enhancing the understanding of π-conjugated systems.

Articles (12)

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2021

Collaborators (5)

Barry Rand

Professor

Princeton University

UNITED STATES

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Aman Preet Kaur

Research Assistant Professor

University of Kentucky

UNITED STATES

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Susan A. Odom

UNITED STATES

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Yueh-Lin Loo

Princeton University

UNITED STATES

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Chad Risko

John C. Hubbard Professor of Chemistry, Associate Vice President for Research Training and Strategic Initiatives, Faculty Director of the Office of Undergraduate Research

University of Kentucky

UNITED STATES

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Vinayak Bhat

Research Interests

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Articles (12)

Rapid Estimation of the Intermolecular Electronic Couplings and Charge-Carrier Mobilities of Crystalline Molecular Organic Semiconductors through a Machine Learning Pipeline

ExpFlow: a graphical user interface for automated reproducible electrochemistry

Impact of Molecular Geometry and Functionalization on Solution Complexation of Coronene-Based Buckybowls and Fullerenes

Factors Impacting Dihedral Angle Rotation and Classification in π-Conjugated Systems

Computational Approaches for Organic Semiconductors: From Chemical and Physical Understanding to Predicting New Materials

Electronic, redox, and optical property prediction of organic π-conjugated molecules through a hierarchy of machine learning approaches

Towards a comprehensive data infrastructure for redox-active organic molecules targeting non-aqueous redox flow batteries

Twisted Crystalline Organic Semiconductor Photodetectors

Shear-aligned large-area organic semiconductor crystals through extended π–π interaction

Challenges in Information-Mining the Materials Literature: A Case Study and Perspective

Data storage architectures to accelerate chemical discovery: data accessibility for individual laboratories and the community

OCELOT: An infrastructure for data-driven research to discover and design crystalline organic semiconductors

Collaborators (5)

Barry Rand

Aman Preet Kaur

Susan A. Odom

Yueh-Lin Loo

Chad Risko

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