Conferences and Talks

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