Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

It’s always nice to simulate a project before soldering a board together. Tools like QUCS run locally and work quite well for ...

Batteries are notoriously difficult pieces of technology to deal with reliably. They often need specific temperatures, charge ...

This project models a basic inverting amplifier using Python code generated by an AI large language model. AI could help ...

Learn how to create a Python simulation of a tipping stick! In this video, we guide you step by step through coding a physics-based simulation that models tipping motion, friction, and torque. Perfect ...

Radio-Frequency (RF) Electronic Design Automation (EDA) is at a turning point. Historically, engineers adapted their workflows to rigid software tools, often sacrificing flexibility and efficiency.

This second installment focuses on using QPSICE’s schematic editor, learning how to properly place and connect components. In the first installment of this power electronics course, we established the ...

Abstract: We introduce the QARN (Quantum Accelerated and Reconfigurable, Noisy) simulator, an efficient and scalable state vector based quantum circuit simulator. Implemented in Python, QARN delivers ...

Abstract: As renewable energy systems become more complex, power converters require rigorous verification through simulations before hardware prototyping. The prevailing simulators are typically ...

ScaleQsim is a distributed full-state quantum circuit simulator based on Google's Qsim. It is designed to support extreme-scale HPC systems such as Perlmutter@NERSC while utilizing existing efficient ...