Search Results for author: Vinay I. Hegde

Found 2 papers, 1 papers with code

Evaluation of GlassNet for physics-informed machine learning of glass stability and glass-forming ability

1 code implementation • 15 Mar 2024 • Sarah I. Allec, Xiaonan Lu, Daniel R. Cassar, Xuan T. Nguyen, Vinay I. Hegde, Thiruvillamalai Mahadevan, Miroslava Peterson, Jincheng Du, Brian J. Riley, John D. Vienna, James E. Saal

Here, we explore the application of an open-source pre-trained NN model, GlassNet, that can predict the characteristic temperatures necessary to compute glass stability (GS) and assess the feasibility of using these physics-informed ML (PIML)-predicted GS parameters to estimate GFA.

Physics-informed machine learning

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AutoMat: Accelerated Computational Electrochemical systems Discovery

no code implementations • 3 Nov 2020 • Emil Annevelink, Rachel Kurchin, Eric Muckley, Lance Kavalsky, Vinay I. Hegde, Valentin Sulzer, Shang Zhu, Jiankun Pu, David Farina, Matthew Johnson, Dhairya Gandhi, Adarsh Dave, Hongyi Lin, Alan Edelman, Bharath Ramsundar, James Saal, Christopher Rackauckas, Viral Shah, Bryce Meredig, Venkatasubramanian Viswanathan

Large-scale electrification is vital to addressing the climate crisis, but several scientific and technological challenges remain to fully electrify both the chemical industry and transportation.

Management Physics-informed machine learning

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