Discover how this powerful open-source SPICE simulator helps you analyse and validate analog, digital and mixed-signal ...

I tested nearly every setting my fridge has to offer to find out which number on the dial hits the sweet spot. John Carlsen has more than a decade of experience testing and reviewing home tech ...

Abstract: Model predictive control (MPC) has been widely adopted for indoor temperature control and building energy management. There are two steps in traditional MPC: 1) modeling thermal dynamics as ...

Penn State scientists have devised a new method to predict superconducting materials that could work at higher temperatures. Their model bridges classical superconductivity theory with quantum ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

In chemistry, solvents (generally in liquid form) are used to dissolve, suspend or extract other materials, typically without chemically altering either the solvent or the other materials. Solvents ...

Precise temperature control is essential for optimizing performance and ensuring high-quality outcomes in chemical process engineering. The Unistat range of temperature control systems provides ...

This study proposes a hybrid modeling approach that integrates a Physics Informed Neural Network (PINN) and a long short-term memory (LSTM) network to predict river water temperature in a defined ...