Researchers develop AI tool that finds the equations behind complex systems

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...
IEEE

Image Segmentation and Denoising Algorithm Based on Partial Differential Equations

Abstract: The image denoising algorithm based on partial differential equation can selectively solve the problem of noise and image smoothing, which has become the focus of current image denoising ...
GitHub

delay-differential-equations

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

Computational Solution to the Problems of Projectile Motion under Significant Linear Drag Effect ()

1 Department of Physics, School of Mathematics and Physics, China University of Geosciences, Wuhan, China. 2 Department of Physics, Faculty of Natural Science, Abdulrahman Al-Sumait University (Sumait ...
Scientific Research Publishing

Mathematical Modelling and Experimental Investigation of a Low Temperature Proton Exchange Membrane Fuel Cell ()

1 Department of Mechanical, Energy and Industrial Engineering, Botswana International University of Science and Technology, Palapye, Botswana. 2 Botswana Institute for Technology Research and ...
Frontiers

Editorial: Recent Trends in Computational Fluid Dynamics

Computational fluid dynamics (CFD) [1] can be described as the set of techniques that assist the computer to provide the numerical simulation of the fluid flows. The three basic principles that can ...
PNAS

Global potential, topology, and pattern selection in a noisy stabilized Kuramoto–Sivashinsky equation

This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2017. Contributed by J. M. Kosterlitz, July 10, 2020 (sent for review ...
PNAS

Efficient quantum algorithm for dissipative nonlinear differential equations

Nonlinear differential equations appear in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear differential equations have complexity ...
Frontiers

A Novel Synthetic Model of the Glucose-Insulin System for Patient-Wise Inference of Physiological Parameters From Small-Size OGTT Data

Existing mathematical models for the glucose-insulin (G-I) dynamics often involve variables that are not susceptible to direct measurement. Standard clinical tests for measuring G-I levels for ...