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N. M. Anoop Krishnan

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MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models

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Aug 17, 2023
Mohd Zaki, Jayadeva, Mausam, N. M. Anoop Krishnan

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Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics

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Jun 20, 2023
Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan

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StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes

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Jan 29, 2023
Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan

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Cementron: Machine Learning the Constituent Phases in Cement Clinker from Optical Images

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Nov 06, 2022
Mohd Zaki, Siddhant Sharma, Sunil Kumar Gurjar, Raju Goyal, Jayadeva, N. M. Anoop Krishnan

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Predicting Oxide Glass Properties with Low Complexity Neural Network and Physical and Chemical Descriptors

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Oct 19, 2022
Suresh Bishnoi, Skyler Badge, Jayadeva, N. M. Anoop Krishnan

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Learning Rigid Body Dynamics with Lagrangian Graph Neural Network

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Sep 23, 2022
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan

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Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems

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Sep 22, 2022
Suresh Bishnoi, Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan

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Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks

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Sep 03, 2022
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan

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DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles

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Jul 10, 2022
Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam

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DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Material Science Articles

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Jul 03, 2022
Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam

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