Evaluating the Transferability of Machine-Learned Force Fields for Material Property Modeling

1 code implementation • 10 Jan 2023 • Shaswat Mohanty, Sanghyuk Yoo, Keonwook Kang, Wei Cai

Machine-learned force fields have generated significant interest in recent years as a tool for molecular dynamics (MD) simulations, with the aim of developing accurate and efficient models that can replace classical interatomic potentials.

Benchmarking Graph Neural Network

StockBot: Using LSTMs to Predict Stock Prices

1 code implementation • 14 Jul 2022 • Shaswat Mohanty, Anirudh Vijay, Nandagopan Gopakumar

The evaluation of the financial markets to predict their behaviour have been attempted using a number of approaches, to make smart and profitable investment decisions.

Decision Making Time Series +1

Understanding Urban Water Consumption using Remotely Sensed Data

no code implementations • 3 May 2022 • Shaswat Mohanty, Anirudh Vijay, Shailesh Deshpande

Urban metabolism is an active field of research that deals with the estimation of emissions and resource consumption from urban regions.