In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

By manipulating ultrafast quantum particles under extreme conditions, researchers have begun to probe growth dynamics in unprecedented detail. Why do patterns emerge as surfaces grow, whether in ...

Crystals, bacterial colonies, flame fronts: the growth of surfaces was first described in the 1980s by the ...

Applying a few simplifying assumptions and constructing a set of ordinary differential equations leads to a model that ...

This repository contains the codes for framework for equation discovery by combining Neural Networks with Characteristic Curves (NN-CC), Symmetry Constraints, and Post-Symbolic Regression (Post-SR).

Researchers in Italy have recently developed a new smart chip that could greatly reduce energy consumption while accelerating computation in high-performance computing systems and data centers.

A new chip aims to dramatically reduce energy consumption while accelerating the processing of large amounts of data. A paper on this work appears in the journal Nature Electronics. The chip was ...

Nonlinear systems and networks theory is a branch of automatic control theory. It takes systems and networks described by nonlinear differential equations or difference equations as its research ...

ABSTRACT: This paper investigates the behavior of a prey-predator system in continuous time obtained by non-linear differential equations arising from diabetes of type one. We study the stability of ...

Abstract: This letter studies the problem of prescribed-time stabilization for a class of uncertain nonlinear systems by adaptive dynamic programming. The results of this letter depend on the special ...