Notes on Quantum Computing for Thermal Science
This document explores the potential of quantum computing for solving linear systems of interest in engineering.
Exploring machine learning models to predict atmospheric water harvesting with an ion deposition membrane
This paper presents a novel Ion Deposition Membrane-based approach to atmospheric water harvesting, leveraging machine learning to predict water yields under various environmental conditions.
Energy-GNoME: A Living Database of Selected Materials for Energy Applications
This paper presents the novel Energy-GNoME database and the related protocol.
Learning Effective Good Variables from Physical Data
This paper presents two novel approaches to the discovery of possible groups or combinations of primitive variables.
Thévenin’s Battery Model Parameter Estimation Based on Simulink
This paper proposes the estimation of the values of the parameters of the Thévenin equivalent circuit of a LIB commercial cell.