Abstract: Product design involves the conceptualization and creation of products, where simulation workflows often require dynamic scheduling. Although deep reinforcement learning has shown ...

Abstract: Integrated energy systems face challenges such as inconsistent equipment parameters, unmeasurable data, and complex coupling mechanisms. To address these issues, this paper develops an ...

This course is available on the BSc in Business Mathematics and Statistics, BSc in Management and BSc in Statistics with Finance. This course is available as an outside option to students on other ...

This course is available on the BSc in Management, International Exchange (1 Term) and International Exchange (Full Year). This course is available as an outside option to students on other programmes ...

This repository contains a Simscape model of a quadrupeded robot able to walk on flat and inclined terrain, with a environment that presents different obstacles, and the posibility of open-loop or ...

Fluid dynamics is the study of the motion of liquids, gases and plasmas. Flow is dependent on the intrinsic properties of the matter itself, such as compressibility, viscosity and density. Example ...

Molecular dynamics is a method that uses Newton’s equations of motion to computationally simulate the time evolution of a set of interacting atoms. Such techniques are dependent on a description of ...

A team of scientists from the UK Atomic Energy Authority, the Johannes Kepler University Linz, and Emmi AI, have developed an artificial intelligence tool - named GyroSwin - which can create ...