AI Design Copilots Reduce Time-To-Market For Physical Design

Neural Concept is helping launch products at 2X the speed. It does this by capturing past knowledge into AI-based ...
Nature

Physics articles from across Nature Portfolio

Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...
IEEE

Nonlinear Co-simulation for Designing Kinetic Inductance Parametric Amplifiers

Abstract: Kinetic inductance parametric amplifiers (KIPAs) have been widely studied for small-signal detection in superconducting quantum circuits. In this work, we demonstrate the modeling of a ...
GitHub

PIE-NeRF : Physics-based Interactive Elastodynamics with NeRF

Abstract: We show that physics-based simulations can be seamlessly integrated with NeRF to generate high-quality elastodynamics of real-world objects. Unlike existing methods, we discretize nonlinear ...
IEEE

FPGA-Based Real-Time X-in-the-Loop Simulation Testbench for Dynamic Wireless Power Transfer System With Stochastic and Nonlinear Inductance

Abstract: Power electronic systems (PESs) are gradually utilized in dynamic environments such as renewable energy generation, electric propulsion, and vehicle charging, among others. However, dynamic ...
GitHub

DeepPID — A deep-learning PID playground featuring Adaptive ML-based system controllers

A playground for experimenting with PID, model‑predictive, and machine‑learning–based controllers. DeepPID provides both traditional and neural adaptive controllers in a single, consistent framework, ...