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Isaac Lab is an open-source modular robotics learning framework built atop Isaac Sim. It simplifies research workflows across reinforcement learning, imitation learning, and motion planning by offering robust, GPU-accelerated simulation with realistic sensor and physics fidelity—ideal for sim-to-real robot training. Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5). GPU-accelerated, high-fidelity physics and sensor simulation suitable for complex learning...

QMCF2 is a molecular-simulation package for molecular dynamics, Monte Carlo, geometry optimization, molecular mechanics, and combined quantum-mechanical/molecular-mechanical calculations. The source includes force-field, electrostatics, constraints, thermostats, pressure control, water models, QMCF/QM-MM, external-QM interfaces, conversion tools, and analysis utilities. Interfaces are available for xTB, DFTB+, Gaussian, Turbomole, CRYSTAL, and ASE-based workflows. External programs must...

This project has been moved to https://github.com/fmipp/trnsys-fmu This open-source project provides a stand-alone tool for exporting FMUs for Co-Simulation from TRNSYS 17 models. The current release supports FMI version 1.0 and 2.0. Instructions on installation and usage are given in the documentation, which is provided as part of the download. This documentation also contains a tutorial on how to export a TRNSYS model as FMU for co-simulation and how to link it with a simple...

FAST is an Analysis and Simulation Toolbox (FAST) for Fuel Cells (FC) FAST-FC is the doctorate work of David B. Harvey and was developed with support from the U.S. DOE, Ballard, and Queen's University. Derivative works of FAST-FC include FC-APOLLO which is a forked branch of this project intended to capture the code state at the exit of the funded DOE project. FAST-FC is the open and active community branch. FAST-FC is developed and maintained by the original creator and...

Create your own distributed computer that can distributed javascript based applications to any computer with a web browser, headless browser or node.js installation. For more information and updates please see our website - http://reorjs.com.