GitHub

Finite basis physics-informed neural networks (FBPINNs)

This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...
The IslandOpinion

Why siloed thinking is undermining national problem-solving

The world today is marked by paradox. Never before has humanity possessed such extraordinary scientific knowledge, ...
IEEE

Constructing Multidimensional Difference Equations From a State-Space Representation Using the Generalized Cayley–Hamilton Theorem

Abstract: We show that applying a generalization of the Cayley-Hamilton Theorem to a state-space representation of a single-output, multidimensional (mD), linear, shift-invariant, causal, autonomous ...
IEEE

Investigating the Use of Linear Programming and Evolutionary Algorithms for Multi-Objective Electric Vehicle Charging Problem

Abstract: With the increasing uptake of electric vehicles (EVs), the need for efficient scheduling of EV charging is becoming increasingly important. A charging station operator needs to identify ...