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

py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...

We deal with the problem of bridging the gap between two scales in neuronal modeling. At the first (microscopic) scale, neurons are considered individually and their behavior described by stochastic ...

Abstract: Problems involving the classical linear partial differential equations of mathematical physics can be reduced to algebraic ones of a very much simpler structure by replacing the ...

This process is called "differential diagnosis." They may order additional tests or imaging to pinpoint ... An important reason to understand what diagnoses were eliminated—and why—is to confirm that ...

However, did you know a lot of the bots you have been using are actually examples of artificial intelligence? The bot has been designed to mimic human-like responses and perform a variety of tasks.

For example, the experimental results under different turbulence conditions show ... Its calculation method contains the use of Eq. 13 and differential equations for separable variables. As shown in ...

It understands the processes which occur at the small scale and relates these to the larger scale production of, for example: pharmaceuticals ... Representing chemical data; linear dependence; ...

University of Bremen, Institute for Physical and Theoretical Chemistry, Leobener Str. 6, D-28359 Bremen, Germany Bremen Center for Computational Materials Science, University of Bremen, Am Fallturm 1, ...

School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China ...