Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

Abstract: Superconducting electronics is a promising technology for many future computing solutions including superconducting digital processors, superconducting neuromorphic circuits, and ...

Abstract: Superconducting electronics is a promising technology for many future computing solutions including superconducting digital processors, superconducting neuromorphic circuits, and ...

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and ...