Publications

• Our paper on 21 challenges in AI and ML in glass technology featured in American Ceramic Society’s CTT. Read the article here. A reprint of the article can be found in Glass machinery plants and accessories magazine here

• Our paper on glassy h-BN selected as the cover page in Advanced Theory and Simulations. Read the paper here

You can also find my articles on Google Scholar profile.

Journal Articles

1. Understanding the compositional control on electrical, mechanical, optical, and physical properties of inorganic glasses with interpretable machine learning
   Bhattoo, Ravinder; Bishnoi, Suresh; Zaki, Mohd; Krishnan, N. M. Anoop;
   Acta Materialia, 2023. doi: 10.1016/j.actamat.2022.118439

2. Learning the dynamics of particle-based systems with Lagrangian graph neural networks
   Bhattoo, Ravinder; Ranu, Sayan; Krishnan, N. M. Anoop;
   Machine Learning: Science and Technology, 2023. doi: 10.1088/2632-2153/acb03e

3. Interpreting the optical properties of oxide glasses with machine learning and Shapely additive explanations
   Zaki, Mohd; Venugopal, Vineeth; Bhattoo, Ravinder; Bishnoi, Suresh; Singh, Sourabh Kumar; Allu, Amarnath R.; Jayadeva; Krishnan, N. M. Anoop;
   Journal of the American Ceramic Society, 2022. doi: 10.1111/jace.18345

4. Scalable Gaussian processes for predicting the optical, physical, thermal, and mechanical properties of inorganic glasses with large datasets
   Bishnoi, Suresh; Ravinder, R.; Grover, Hargun Singh; Kodamana, Hariprasad; Krishnan, N. M. Anoop
   Materials Advances, 2021. doi: 10.1039/D0MA00764A

5. Artificial intelligence and machine learning in glass science and technology: 21 challenges for the 21st century
   Ravinder; Venugopal, Vineeth; Bishnoi, Suresh; Singh, Sourabh; Zaki, Mohd; Grover, Hargun Singh; Bauchy, Mathieu; Agarwal, Manish; Krishnan, N. M. Anoop
   International Journal of Applied Glass Science, 2021. doi: 10.1111/ijag.15881

6. Irradiation-induced brittle-to-ductile transition in α-quartz
   Ravinder, R.; Kumar, Abhishek; Kumar, Rajesh; Vangla, Prashanth; Krishnan, N. M. Anoop
   Journal of the American Ceramic Society, 2020. doi: 10.1111/jace.16951

7. Glass Transition and Crystallization in Hexagonal Boron Nitride: Crucial Role of Orientational Order
   Ravinder, R.; Garg, Prateet; Krishnan, N. M. Anoop
   Advanced Theory and Simulations, 2020. doi: 10.1002/adts.201900174

8. Deep learning aided rational design of oxide glasses
   Ravinder, R.; Sridhara, Karthikeya H.; Bishnoi, Suresh; Grover, Hargun Singh; Bauchy, Mathieu; Jayadeva; Kodamana, Hariprasad; Krishnan, N. M. Anoop
   Materials Horizons, 2020. doi: 10.1039/D0MH00162G

9. Cooling rate effects on the structure of 45S5 bioglass: Insights from experiments and simulations
   Bhaskar, Pratik; Kumar, Rajesh; Maurya, Yashasvi; Ravinder, R.; Allu, Amarnath R.; Das, Sumanta; Gosvami, Nitya Nand; Youngman, Randall E.; Bødker, Mikkel S.; Mascaraque, Nerea; Smedskjaer, Morten M.; Bauchy, Mathieu; Krishnan, N. M. Anoop
   Journal of Non-Crystalline Solids, 2020. doi: 10.1016/j.jnoncrysol.2020.119952

10. An adaptive, interacting, cluster-based model for predicting the transmission dynamics of COVID-19
    Ravinder, R.; Singh, Sourabh; Bishnoi, Suresh; Jan, Amreen; Sharma, Amit; Kodamana, Hariprasad; Krishnan, N. M. Anoop
    Heliyon, 2020. doi: 10.1016/j.heliyon.2020.e05722

11. A Peridynamics-Based Micromechanical Modeling Approach for Random Heterogeneous Structural Materials
    Nayak, Sumeru; Ravinder, R.; Krishnan, N. M. Anoop; Das, Sumanta
    Materials, 2020. doi: 10.3390/ma13061298

12. Redox Sensitive Self-Assembling Dipeptide for Sustained Intracellular Drug Delivery
    Dhawan, Sameer; Ghosh, Sukanya; Ravinder, R.; Bais, Sachendra S.; Basak, Soumen; Krishnan, N. M. Anoop; Agarwal, Manish; Banerjee, Manidipa; Haridas, V.
    Bioconjugate Chemistry, 2019. doi: 10.1021/acs.bioconjchem.9b00532

13. Predicting Young’s modulus of oxide glasses with sparse datasets using machine learning
    Bishnoi, Suresh; Singh, Sourabh; Ravinder, R.; Bauchy, Mathieu; Gosvami, Nitya Nand; Kodamana, Hariprasad; Krishnan, N. M. Anoop
    Journal of Non-Crystalline Solids, 2019. doi: 10.1016/j.jnoncrysol.2019.119643

14. Glass Fracture Upon Ballistic Impact: New Insights From Peridynamics Simulations
    Rivera, Jared; Berjikian, Jonathan; Ravinder, R.; Kodamana, Hariprasad; Das, Sumanta; Bhatnagar, Naresh; Bauchy, Mathieu; Krishnan, N. M. Anoop
    Frontiers in Materials, 2019. doi: 10.3389/fmats.2019.00239

15. Evidence of a two-dimensional glass transition in graphene: Insights from molecular simulations
    Ravinder, R.; Kumar, Rajesh; Agarwal, Manish; Krishnan, N. M. Anoop
    Scientific Reports, 2019. doi: 10.1038/s41598-019-41231-z

16. Density–stiffness scaling in minerals upon disordering: Irradiation vs. vitrification
    Krishnan, N. M. Anoop; Ravinder, R.; Kumar, Rajesh; Le Pape, Yann; Sant, Gaurav; Bauchy, Mathieu
    Acta Materialia, 2019. doi: 10.1016/j.actamat.2019.01.015

Preprints

1. Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias
   Bhattoo, Ravinder; Ranu, Sayan; Krishnan, N. M. Anoop
   Preprint, 2021. url: http://arxiv.org/abs/2110.03266

Conference Papers

1. Learning the Dynamics of Physical Systems with Hamiltonian Graph Neural Networks
   Bishnoi, Suresh; Bhattoo, Ravinder; Jayadeva, Jayadeva; Ranu, Sayan; Krishnan, N. M. Anoop
   ICLR 2023 Workshop on Physics for Machine Learning, 2023. url: https://openreview.net/forum?id=Ugl-B_at5n

2. Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems
   Bishnoi, Suresh; Bhattoo, Ravinder; Jayadeva, Jayadeva; Ranu, Sayan; Krishnan, N. M. Anoop
   The Eleventh International Conference on Learning Representations, 2023. url: https://openreview.net/forum?id=ATLEl_izD87

3. Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems
   Thangamuthu, Abishek; Kumar, Gunjan; Bishnoi, Suresh; Bhattoo, Ravinder; Krishnan, N. M. Anoop; Ranu, Sayan
   Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2022. url: https://openreview.net/forum?id=tXEe-Ew_ikh

4. Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network
   Bhattoo, Ravinder; Ranu, Sayan; Krishnan, N. M. Anoop
   Advances in Neural Information Processing Systems, 2022. url: https://openreview.net/forum?id=nOdfIbo3A-F