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Krishnan, N M Anoop

  1. Are LLMs Ready for Real-World Materials Discovery?
    2024/02/07 by Santiago Miret, N. M. Anoop Krishnan, Miret, Santiago +1 · 10 citations
    Engineering · Materials Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Mineral Processing and Grinding
  2. Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems
    2022/11/10 by Abishek Thangamuthu, Thangamuthu, Abishek, Kumar, Gunjan +8 · 5 citations
    Physics and Astronomy · Materials Science · Engineering · #Model Reduction and Neural Networks #Machine Learning in Materials Science #Fuel Cells and Related Materials
  3. EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations
    2023/10/03 by Vaibhav Bihani, Utkarsh Pratiush, Bihani, Vaibhav +17 · 4 citations
    Materials Science · Biochemistry, Genetics and Molecular Biology · Computer Science · #Machine Learning in Materials Science #Protein Structure and Dynamics #Topic Modeling
  4. CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems
    2023/10/02 by Priyanshu Burark, Burark, Priyanshu, Karn Tiwari +7 · 2 citations
    Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics and Vibration Analysis #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  5. Evaluating Universal Machine Learning Force Fields Against Experimental Measurements
    2025/08/07 by Sajid Mannan, Vaibhav Bihani, Mannan, Sajid +13 · 1 voice · 4 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
  6. CoNO: Complex Neural Operator for Continuous Dynamical Systems
    2023/10/03 by Karn Tiwari, Tiwari, Karn, N M Anoop Krishnan +3 · 1 citation
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Chaotic Dynamics (nlin.CD) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  7. Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks
    2023/07/11 by Suresh Bishnoi, Ravinder Bhattoo, Bishnoi, Suresh +6 · 1 citation
    Computer Science · #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci) #Time Series Analysis and Forecasting
  8. Latent Mamba Operator for Partial Differential Equations
    2025/05/25 by Karn Tiwari, Tiwari, Karn, Niladri Dutta +5 · 1 citation
    Computer Science · Materials Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks