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 ...

From what you see in the Word window to how to save a document, this Word Tutorial for Beginners is ... comment, WordArt, equations, and symbols. You can also use the Insert tab to add page ...

We propose a novel machine learning architecture, termed model-integrated neural networks (MINN), that can learn the physics-based dynamics of general autonomous or non-autonomous systems consisting ...

“We proved that the Einstein field equation from general relativity is actually a relativistic quantum mechanical equation,” the researchers note in their study. In simple words, this new ...

Filipović, Damir and Tappe, Stefan 2007. Existence of Lévy term structure models. Finance and Stochastics, Vol. 12, Issue. 1, p. 83.

Compaan, E. and Tzirakis, N. 2017. Well-posedness and nonlinear smoothing for the “good” Boussinesq equation on the half-line. Journal of Differential Equations ...

The tfc Python module is designed to help you quickly and easily apply the Theory of Functional Connections (TFC) to optimization problems. For more information on the code itself and code-based ...