MOSKopt_Python is a Python implementation of the MOSKopt (Simulation-Based Stochastic Kriging Optimization framework), designed for chemical process optimization ...

Visualize the magnetic field generated by a current-carrying loop using Python simulation. This video demonstrates how electric current creates magnetic field lines, making core electromagnetism ...

OFDM baseband transceiver: theoretical BER (AWGN), Monte Carlo BER vs SNR, QPSK and 16-QAM, AWGN and multipath channels, ZF/MMSE equalization, EVM (Error Vector ...

Abstract: The Kotlin Simulation Library (KSL) is an open-source library written in the Kotlin programming language that facilitates Monte Carlo and discrete-event simulation modeling. The library ...

We list the best IDE for Python, to make it simple and easy for programmers to manage their Python code with a selection of specialist tools. An Integrated Development Environment (IDE) allows you to ...

The open Battery Data Format standard for battery testing data enables researchers, designers, and manufacturers, as well as ...

Simulation games aren't just the realm of thousand-dollar joystick setups and force feedback racing chairs; they can encompass anything, really, from cleaning stubborn dirt to designing the most ...

Variational quantum algorithms (VQAs) face scalability challenges, notably barren plateaus, where the loss landscape flattens with increasing system size. Here, the authors explore an analog VQA ...

Superconducting quantum design has called for specialised expertise working with mostly improvised design tools within a homegrown workflow ...

Molecular dynamics is a method that uses Newton’s equations of motion to computationally simulate the time evolution of a set of interacting atoms. Such techniques are dependent on a description of ...