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Publications

  1. S. Mannan et al., “Glass hardness: Predicting composition and load effects via symbolic reasoning-informed machine learning,” Acta Materialia, vol. 255, p. 119046, Aug. 2023 doi: 10.1016/j.actamat.2023.119046
  2. S. Mannan V Bihani, N. M. A. Krishnan, John C. Mauro, “Navigating Energy Landscapes for Materials Discovery: Integrating Modeling, Simulation, and Machine Learning,” Mega Materials Genome doi: 10.1002/mgea.25
  3. I. Mandal, S. Mannan, L. Wondraczek, N. N. Gosvami, A. R. Allu, and N. M. A. Krishnan, “Machine Learning-Assisted Design of Na-Ion-Conducting Glasses,” J. Phys. Chem. C, Jul. 2023doi: 10.1021/acs.jpcc.3c01834
  4. S. Singla, S. Mannan, M. Zaki, and N. M. A. Krishnan, “Accelerated design of chalcogenide glasses through interpretable machine learning for composition–property relationships,” Journal of Physics: Materials, vol. 6, no. 2, p. 024003, Apr. 2023doi: 10.1088/2515-7639/acc6f2
  5. S. Sahoo, Z Khan, S. Mannan, U Tiwari, Z Ye, N. M. A. Krishnan, and NN Gosvami,"Superlubricity and Stress-Shielding of Graphene Enables Ultra Scratch-Resistant Glasses,” Journal of American Chemical Society, Oct. 2023 doi: 10.1021/acsami.3c09653
  6. S. Mannan,V. Bihani, U Tiwari, 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” Digital Discovery

Conferences

  1. Poster Presentation: Physics-Informed Machine Learning for Na-Ion Conductivity and Activation Energy Sajid Mannan, Indrajeet Mandal, Nitya Nand Gosvami, N M Anoop Krishnan,Glass and optical materials division-GOMD (Las Vegas, USA) 2024
  2. Oral Presentation: Machine Learning Approach for Predicting and Interpreting Dissolution of Glasses Sajid Mannan, Nitya Nand Gosvami, N. M. Anoop Krishnan,Glass and optical materials division-GOMD (Las Vegas, USA) 2024
  3. Poster Presentation: Deciphering Glass Conductivity: A Machine Learning Perspective for Prediction and Interpretation Sajid Mannan, Indrajeet Mandal, Nitya Nand Gosvami, N M Anoop Krishnan,International Commission on Glass-ICG (Barcelona, Spain), 2024
  4. Poster Presentation: EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields For Atomistic Simulations Sajid Mannan, Vaibhav Bihani,Utkarsh Pratiush,Tao Du,Zhimin Chen,Santiago Miret,Matthieu Micoulaut,Morten M Smedskjaer,Sayan Ranu,N M Anoop Krishnan PMRF Symposium (Indore India), 2024
  5. Poster Presentation: Learning Indentation Size Effect Via Symbolic Reasoning Informed Machine LearningSajid Mannan, Nitya Nand Gosvami, N M Anoop Krishnan,7th International Indentation Workshop (Hyderabad, India), 2023
  6. Oral Presentation: Machine Learning for Predicting Boron Coordination: Integrating Physical and Chemical Descriptors Sajid Mannan, Nitya Nand Gosvami, N. M. Anoop Krishnan,School on Glass in Nuclear Extremes (BRNS, Bombay), 2023
  7. Poster Presentation: Leveraging Machine Learning to Predict Nepheline Crystallization in High-Level Waste Glasses Sajid MannanVedant Badoni, Nedgine Joseph, Sajid Mannan, N M Anoop Krishnan, Ashutosh Goel,Materials Science & Technology (Ohio, USA), 2023
  8. Oral Presentation: Physics-Informed Machine Learning Prediction of the Composition and Load Dependence of Glass Hardness, Sajid Mannan, Daniel R. Cassar, Mohd Zaki, Suresh Bishnoi, Johan F. S. Christensen, Nitya Nand Gosvami, Morten M. Smedskjaer, Edgar Dutra Zanotto, N. M. Anoop Krishnan, Materials Research Society (California, USA), 2023
  9. Oral Presentation: Learning the indentation size effect in hardness of glasses through symbolic reasoning-informed machine learning, Sajid Mannan, Mohd Zaki, Suresh Bishnoi, Daniel R. Cassar, Johan F. S. Christensen, Nitya Nand Gosvami, Morten M. Smedskjaer, Edgar Dutra Zanotto, N. M. Anoop Krishnan, Glass and optical materials division (New Orleans, USA) 2023
  10. Oral Presentation: Composition-property relationships of chalcogenide glasses using interpretable machine learning, Sajid Mannan, Sayam Singla, Mohd Zaki, and N M Anoop Krishnan, Glass and optical materials division (New Orleans, USA) 2023
  11. Poster Presentation: Study of Scratch Mechanism in Oxide Glasses Using PeriDynamics. (Symposium: Adhesion, Contact Mechanics & Friction), Sajid Mannan, Sarthak Srivastav, Nitya Nand Gosvami, N. M. Anoop Krishnan, India Trib-2022 (New Delhi, India), 2022
  12. Term Project