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Sajid Mannan
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Glass hardness: Predicting composition and load effects via symbolic reasoning-informed machine learning
S Mannan, M Zaki, S Bishnoi, DR Cassar, J Jiusti, JCF Faria, ...
Acta Materialia 255, 119046, 2023
52023
Machine Learning-Assisted Design of Na-Ion-Conducting Glasses
I Mandal, S Mannan, L Wondraczek, NN Gosvami, AR Allu, NMA Krishnan
The Journal of Physical Chemistry C, 2023
42023
Accelerated design of chalcogenide glasses through interpretable machine learning for composition–property relationships
S Singla, S Mannan, M Zaki, NMA Krishnan
Journal of Physics: Materials 6 (2), 024003, 2023
42023
Egraffbench: Evaluation of equivariant graph neural network force fields for atomistic simulations
S Mannan, V Bihani, U Pratiush, T Du, Z Chen, S Miret, M Micoulaut, ...
Digital Discovery, 2024
32024
Navigating energy landscapes for materials discovery: Integrating modeling, simulation, and machine learning
S Mannan, V Bihani, NMA Krishnan, JC Mauro
Materials Genome Engineering Advances, e25, 2024
2024
Superlubricity and Stress-Shielding of Graphene Enables Ultra Scratch-Resistant Glasses
S Sahoo, Z Khan, S Mannan, U Tiwari, Z Ye, NMA Krishnan, NN Gosvami
ACS Applied Materials & Interfaces, 2023
2023
Physics-Informed Machine Learning Prediction of the Composition and Load Dependence of Glass Hardness
Sajid Mannan*,Mohd Zaki, Suresh Bishnoi, Daniel R. Cassar, Morten Mattrup ...
2023 MRS Spring Meeting, California, United States, https://vbn.aau.dk/files …, 2023
2023
Atomistic Insights into Scratch-Induced Structural Evolution of Glassy Silica
S Sahoo, S Mannan, U Tiwari, RR Kaware, Z Ye, NN Gosvami, ...
Atomistic Insights into Scratch-Induced Structural Evolution of Glassy Silica, 0
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