Up to two billion times acceleration of scientific simulations with deep neural architecture search. - Muhammad Firmansyah Kasim; Duncan Watson-Parris; Lucia Deaconu; Sophy Oliver; Peter W. Hatfield; Dustin H. Froula; Gianluca Gregori; Matt Jarvis; Samar Khatiwala; Jun Korenaga; Jacob Topp-Mugglestone; Eleonora Viezzer; et al. (CoRR, 2020)

ξ-torch: differentiable scientific computing library. - Muhammad Firmansyah Kasim; Sam M. Vinko (CoRR, 2020)

Learning the exchange-correlation functional from nature with fully differentiable density functional theory. - Muhammad Firmansyah Kasim; Sam M. Vinko (CoRR, 2021)

DQC: a Python program package for Differentiable Quantum Chemistry. - Muhammad Firmansyah Kasim; Susi Lehtola; Sam M. Vinko (CoRR, 2021)

Building high accuracy emulators for scientific simulations with deep neural architecture search. - Muhammad Firmansyah Kasim; Duncan Watson-Parris; Lucia Deaconu; Sophy Oliver; Peter W. Hatfield; Dustin H. Froula; Gianluca Gregori; Matt Jarvis; Samar Khatiwala; Jun Korenaga; Jacob Topp-Mugglestone; Eleonora Viezzer; et al. (Mach. Learn. Sci. Technol., 2022)