Conference Talks, Workshops and Posters

Talks

1. Lagrangian and Hamiltonian Graph Neural Networks for Robust Molecular Simulations

Ravinder Bhattoo*, N. M. Anoop Krishnan
XXX International Materials Research Congress (IMRC2022) and International Conference on Advanced Materials (ICAM2021), August, 2022
Cancun, Mexico

2. Lagrangian and Hamiltonian Graph Neural Networks for Robust Molecular Simulations

Ravinder Bhattoo*, N. M. Anoop Krishnan
XXX International Materials Research Congress (IMRC2022) and International Conference on Advanced Materials (ICAM2021), August, 2022
Cancun, Mexico

3. Understanding the Compositional Control on Electrical, Mechanical, Optical, And Physical Properties of Inorganic Glasses with Interpretable Machine Learning

Ravinder Bhattoo*, N. M. Anoop Krishnan
XXX International Materials Research Congress (IMRC2022) and International Conference on Advanced Materials (ICAM2021), August, 2022
Cancun, Mexico

4. PeriDyn: A Peridynamics Package Written in Julia Programming Language

Ravinder Bhattoo*, N. M. Anoop Krishnan
11th European Solid Mechanics Conference, July, 2022
NUI, Galway, Ireland

5. Learning Quantum-accuracy Interatomic Potential for Silica Using Lagrangian Graph Neural Networks

Ravinder Bhattoo*, N. M. Anoop Krishnan
2022 Glass and Optical Materials Division Annual Meeting, May, 2022
Hyatt Regency Baltimore, Baltimore, MD, United States

6. Learning interaction laws in atomistic system using Lagrangian Graph Neural Networks

Ravinder Bhattoo*, N. M. Anoop Krishnan
2022 Glass and Optical Materials Division Annual Meeting, May, 2022
Hyatt Regency Baltimore, Baltimore, MD, United States

7. Decoding the Genome of Inorganic Glasses using Interpretable Machine Learning

Ravinder Bhattoo*, N. M. Anoop Krishnan
14th Pacific Rim Conference on Ceramic and Glass Technology and GOMD 2021 Division Meeting, December, 2021
Vancouver, British Columbia, Canada (Virtual)

8. Molecular Dynamics Simulation Using Graph Neural Networks

Ravinder Bhattoo*, N. M. Anoop Krishnan
MRS Fall Meeting 2021, December, 2021
Boston, Massachusetts, USA (Virtual)

9. Understanding the Composition-property Relationship of Glasses Using Interpretable Machine Learning

Ravinder Bhattoo*, Suresh Bishnoi, M. Zaki, N. M. Anoop Krishnan
Materials Science and Technology (MS&T) 2021, October, 2021
Columbus, Ohio, USA (Virtual)

10. Machine learning to predict the elastic properties of glasses

Sourabh Singh, Suresh Bishnoi, R. Ravinder*, Hariprasad Kodamana, N. M. Anoop Krishnan
Material Science and Technology (MS&T) 2019, October, 2019
Oregon Convocation Center, Portland, USA

Workshops

1. Introduction to Machine Learning Tools

Artificial Intelligence Concepts and Multidisciplinary Applications in Modern Biology, September, 2019
International Center for Genetic Engineering and Biotechnology, New Delhi, India

2. Introduction to Machine Learning

Machine Learning For Engineering Applications (TEQIP Course), June, 2019
Indian Institute of Technology Delhi, New Delhi, India

3. Molecular dynamics workshop 2

Advanced Simulation Methods: DFT, MD and Beyond, March, 2019
Indian Institute of Technology Delhi, New Delhi, India

Posters

1. Designing Functional Glasses using Machine Learning

R. Ravinder*, Suresh Bishnoi, Sourabh Kumar Singh, Hargun Singh, Hariprasad Kodamana, N M Anoop Krishnan
IIT Delhi Industry Day 2019, September, 2019
Indian Institute of Technology Delhi, New Delhi, India

2. Two-dimensional glass transition in graphene: Insights from molecular simulations

R. Ravinder*, Rajesh Kumar, Manish Agarwal, N. M. Anoop Krishnan
Advanced Simulation Methods: DFT, MD and Beyond, March, 2019
Indian Institute of Technology Delhi, New Delhi, India