N. M. Anoop Krishnan

48 papers A* 6Journal 41Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sustainable Materials Discovery in the Era of Artificial Intelligence. CoRR Sajid Mannan, Rupert J. Myers, Rohit Batra, Rocío Mercado, Lothar Wondraczek, N. M. Anoop Krishnan
2025	J	`jnl`	Author Correction: Probing the limitations of multimodal language models for chemistry and materials research. Nat. Comput. Sci. Nawaf Alampara, Mara Schilling-Wilhelmi, Martiño Ríos-García, Indrajeet Mandal, Pranav Khetarpal, Hargun Singh Grover, N. M. Anoop Krishnan, Kevin Maik Jablonka
2025	J	`jnl`	Autonomous Microscopy Experiments through Large Language Model Agents. CoRR Indrajeet Mandal, Jitendra Soni, Mohd Zaki, Morten M. Smedskjaer, Katrin Wondraczek, Lothar Wondraczek, Nitya Nand Gosvami, N. M. Anoop Krishnan
2025	J	`jnl`	CoNOAir: A Neural Operator for Forecasting Carbon Monoxide Evolution in Cities. CoRR Sanchit Bedi, Karn Tiwari, Prathosh A. P., Sri Harsha Kota, N. M. Anoop Krishnan
2025	J	`jnl`	Energy & Force Regression on DFT Trajectories is Not Enough for Universal Machine Learning Interatomic Potentials. CoRR Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Sajid Mannan, N. M. Anoop Krishnan
2025	J	`jnl`	Evaluating Universal Machine Learning Force Fields Against Experimental Measurements. CoRR Sajid Mannan, Vaibhav Bihani, Carmelo Gonzales, Kin Long Kelvin Lee, Nitya Nand Gosvami, Sayan Ranu, Santiago Miret, N. M. Anoop Krishnan
2025	A*	`conf`	Latent Mamba Operator for Partial Differential Equations. ICML Karn Tiwari, Niladri Dutta, N. M. Anoop Krishnan, Prathosh A. P.
2025	J	`jnl`	Latent Mamba Operator for Partial Differential Equations. CoRR Karn Tiwari, Niladri Dutta, N. M. Anoop Krishnan, Prathosh A. P.
2025	J	`jnl`	LeMat-GenBench: A Unified Evaluation Framework for Crystal Generative Models. CoRR Siddharth Betala, Samuel P. Gleason, Ali Ramlaoui, Andy Xu, Georgia Channing, Daniel Levy, Clémentine Fourrier, Nikita Kazeev, Chaitanya K. Joshi, Sékou-Oumar Kaba, Félix Therrien, Alex Hernández-García, Rocío Mercado, N. M. Anoop Krishnan, Alexandre Duval
2025	J	`jnl`	LeMat-Synth: a multi-modal toolbox to curate broad synthesis procedure databases from scientific literature. CoRR Magdalena Lederbauer, Siddharth Betala, Xiyao Li, Ayush Jain, Amine Sehaba, Georgia Channing, Grégoire Germain, Anamaria Leonescu, Faris Flaifil, Alfonso Amayuelas, Alexandre Nozadze, Stefan P. Schmid, Mohd Zaki, Sudheesh Kumar Ethirajan, Elton Pan, Mathilde Franckel, Alexandre Duval, N. M. Anoop Krishnan, Samuel P. Gleason
2025	J	`jnl`	MatSKRAFT: A framework for large-scale materials knowledge extraction from scientific tables. CoRR Kausik Hira, Mohd Zaki, Mausam, N. M. Anoop Krishnan
2025	J	`jnl`	On the Equivalence of Regression and Classification. CoRR Jayadeva, Naman Dwivedi, Hari Krishnan, N. M. Anoop Krishnan
2025	J	`jnl`	Perspective on artificial intelligence for accelerated materials design (AI4Mat) workshops in 2024. Mach. Learn. Sci. Technol. Santiago Miret, Marta Skreta, Geemi P. Wellawatte, Stefano Martiniani, N. M. Anoop Krishnan, George Karypis, Kevin Maik Jablonka
2025	J	`jnl`	Precise Real-Time Measurement of Liquid Viscosity Using Digital Video Data. Adv. Intell. Syst. Zhiwen Pan, Tina Waurischk, Alexis Duval, Ralf Müller, Joachim Deubener, N. M. Anoop Krishnan, Katrin Wondraczek, Lothar Wondraczek
2025	J	`jnl`	Probing the limitations of multimodal language models for chemistry and materials research. Nat. Comput. Sci. Nawaf Alampara, Mara Schilling-Wilhelmi, Martiño Ríos-García, Indrajeet Mandal, Pranav Khetarpal, Hargun Singh Grover, N. M. Anoop Krishnan, Kevin Maik Jablonka
2024	J	`jnl`	Are LLMs Ready for Real-World Materials Discovery? CoRR Santiago Miret, N. M. Anoop Krishnan
2024	A*	`conf`	BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics. ICLR Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
2024	J	`jnl`	CoNO: Complex Neural Operator for Continous Dynamical Physical Systems. CoRR Karn Tiwari, N. M. Anoop Krishnan, A. P. Prathosh
2024	J	`jnl`	Discovering symbolic laws directly from trajectories with hamiltonian graph neural networks. Mach. Learn. Sci. Technol. Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
2024	J	`jnl`	Foundational Large Language Models for Materials Research. CoRR Vaibhav Mishra, Somaditya Singh, Dhruv Ahlawat, Mohd Zaki, Vaibhav Bihani, Hargun Singh Grover, Biswajit Mishra, Santiago Miret, Mausam, N. M. Anoop Krishnan
2024	J	`jnl`	Industrial-scale Prediction of Cement Clinker Phases using Machine Learning. CoRR Sheikh Junaid Fayaz, Nestor Montiel-Bohorquez, Shashank Bishnoi, Matteo Romano, Manuele Gatti, N. M. Anoop Krishnan
2024	J	`jnl`	Probing the limitations of multimodal language models for chemistry and materials research. CoRR Nawaf Alampara, Mara Schilling-Wilhelmi, Martiño Ríos-García, Indrajeet Mandal, Pranav Khetarpal, Hargun Singh Grover, N. M. Anoop Krishnan, Kevin Maik Jablonka
2024	J	`jnl`	TAGMol: Target-Aware Gradient-guided Molecule Generation. CoRR Vineeth Dorna, D. Subhalingam, Keshav Kolluru, Shreshth Tuli, Mrityunjay Singh, Saurabh Singal, N. M. Anoop Krishnan, Sayan Ranu
2023	J	`jnl`	CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems. CoRR Priyanshu Burark, Karn Tiwari, Meer Mehran Rashid, A. P. Prathosh, N. M. Anoop Krishnan
2023	J	`jnl`	CoNO: Complex Neural Operator for Continuous Dynamical Systems. CoRR Karn Tiwari, N. M. Anoop Krishnan, A. P. Prathosh
2023	—	`conf`	DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. ACL (1) Tanishq Gupta, Mohd Zaki, Devanshi Khatsuriya, Kausik Hira, N. M. Anoop Krishnan, Mausam
2023	J	`jnl`	Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks. CoRR Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
2023	J	`jnl`	EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations. CoRR Vaibhav Bihani, Utkarsh Pratiush, Sajid Mannan, Tao Du, Zhimin Chen, Santiago Miret, Matthieu Micoulaut, Morten M. Smedskjaer, Sayan Ranu, N. M. Anoop Krishnan
2023	A*	`conf`	Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems. ICLR Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
2023	J	`jnl`	Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics. CoRR Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
2023	J	`jnl`	Learning the dynamics of particle-based systems with Lagrangian graph neural networks. Mach. Learn. Sci. Technol. Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2023	J	`jnl`	MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models. CoRR Mohd Zaki, Jayadeva, Mausam, N. M. Anoop Krishnan
2023	J	`jnl`	Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction. CoRR Kausik Hira, Mohd Zaki, Dhruvil Sheth, Mausam, N. M. Anoop Krishnan
2023	J	`jnl`	StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. CoRR Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan
2023	A*	`conf`	StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. ICML Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan
2022	J	`jnl`	Cementron: Machine Learning the Constituent Phases in Cement Clinker from Optical Images. CoRR Mohd Zaki, Siddhant Sharma, Sunil Kumar Gurjar, Raju Goyal, Jayadeva, N. M. Anoop Krishnan
2022	J	`jnl`	DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. CoRR Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam
2022	J	`jnl`	Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems. CoRR Suresh Bishnoi, Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2022	A*	`conf`	Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network. NeurIPS Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2022	J	`jnl`	Learning Rigid Body Dynamics with Lagrangian Graph Neural Network. CoRR Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2022	J	`jnl`	Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks. CoRR Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2022	J	`jnl`	Predicting Oxide Glass Properties with Low Complexity Neural Network and Physical and Chemical Descriptors. CoRR Suresh Bishnoi, Skyler Badge, Jayadeva, N. M. Anoop Krishnan
2022	A*	`conf`	Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. NeurIPS Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
2022	J	`jnl`	Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. CoRR Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
2021	J	`jnl`	Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias. CoRR Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2021	J	`jnl`	Looking Through Glass: Knowledge Discovery from Materials Science Literature using Natural Language Processing. CoRR Vineeth Venugopal, Sourav Sahoo, Mohd Zaki, Manish Agarwal, Nitya Nand Gosvami, N. M. Anoop Krishnan
2021	J	`jnl`	Looking through glass: Knowledge discovery from materials science literature using natural language processing. Patterns Vineeth Venugopal, Sourav Sahoo, Mohd Zaki, Manish Agarwal, Nitya Nand Gosvami, N. M. Anoop Krishnan
2021	J	`jnl`	MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction. CoRR Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam