N. M. Anoop Krishnan

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 29

Top Topics

Materials Science

Question Answering

Top Venues

Mach. Learn. Sci. Technol.

Publications

Karn Tiwari, N. M. Anoop Krishnan, Prathosh A P
CoNO: Complex Neural Operator for Continous Dynamical Physical Systems. CoRR (2024)
Santiago Miret, N. M. Anoop Krishnan
Are LLMs Ready for Real-World Materials Discovery? CoRR (2024)
Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics. ICLR (2024)
Vineeth Dorna, D. Subhalingam, Keshav Kolluru, Shreshth Tuli, Mrityunjay Singh, Saurabh Singal, N. M. Anoop Krishnan, Sayan Ranu
TAGMol: Target-Aware Gradient-guided Molecule Generation. CoRR (2024)
Priyanshu Burark, Karn Tiwari, Meer Mehran Rashid, Prathosh A P, N. M. Anoop Krishnan
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems. CoRR (2023)
Karn Tiwari, N. M. Anoop Krishnan, Prathosh A P
CoNO: Complex Neural Operator for Continuous Dynamical Systems. CoRR (2023)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Learning the dynamics of particle-based systems with Lagrangian graph neural networks. Mach. Learn. Sci. Technol. 4 (1) (2023)
Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. ICML (2023)
Tanishq Gupta, Mohd Zaki, Devanshi Khatsuriya, Kausik Hira, N. M. Anoop Krishnan, Mausam
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. ACL (1) (2023)
Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics. CoRR (2023)
Kausik Hira, Mohd Zaki, Dhruvil Sheth, Mausam, N. M. Anoop Krishnan
Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction. CoRR (2023)
Mohd Zaki, Jayadeva, Mausam, N. M. Anoop Krishnan
MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models. CoRR (2023)
Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks. CoRR (2023)
Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan
StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. CoRR (2023)
Vaibhav Bihani, Utkarsh Pratiush, Sajid Mannan, Tao Du, Zhimin Chen, Santiago Miret, Matthieu Micoulaut, Morten M. Smedskjaer, Sayan Ranu, N. M. Anoop Krishnan
EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations. CoRR (2023)
Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems. ICLR (2023)
Mohd Zaki, Siddhant Sharma, Sunil Kumar Gurjar, Raju Goyal, Jayadeva, N. M. Anoop Krishnan
Cementron: Machine Learning the Constituent Phases in Cement Clinker from Optical Images. CoRR (2022)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks. CoRR (2022)
Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. CoRR (2022)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network. NeurIPS (2022)
Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. NeurIPS (2022)
Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. CoRR (2022)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Learning Rigid Body Dynamics with Lagrangian Graph Neural Network. CoRR (2022)
Suresh Bishnoi, Skyler Badge, Jayadeva, N. M. Anoop Krishnan
Predicting Oxide Glass Properties with Low Complexity Neural Network and Physical and Chemical Descriptors. CoRR (2022)
Suresh Bishnoi, Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems. CoRR (2022)
Vineeth Venugopal, Sourav Sahoo, Mohd Zaki, Manish Agarwal, Nitya Nand Gosvami, N. M. Anoop Krishnan
Looking through glass: Knowledge discovery from materials science literature using natural language processing. Patterns 2 (7) (2021)
Vineeth Venugopal, Sourav Sahoo, Mohd Zaki, Manish Agarwal, Nitya Nand Gosvami, N. M. Anoop Krishnan
Looking Through Glass: Knowledge Discovery from Materials Science Literature using Natural Language Processing. CoRR (2021)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias. CoRR (2021)
Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam
MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction. CoRR (2021)