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.

Cited by

	All	Since 2018
Citations	380	380
h-index	12	12
i10-index	14	14

140

105

201920202021202220238 47 90 125 109

*metrics generated using google scholar.

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

Ravinder Bhattoo

Publications

Cited by

Journal Articles

Preprints

Conference Papers