This is stars and forks stats for /fangq/mcx repository. As of 03 May, 2024 this repository has 98 stars and 63 forks.
Monte Carlo eXtreme (MCX) - CUDA Edition Author: Qianqian Fang (q.fang at neu.edu) License: GNU General Public License version 3 (GPLv3) Version: 2.0 (v2023, Heroic Hadron) Website: http://mcx.space Table of Content: What's New Introduction Requirement and Installation Running Simulations Using JSON-formatted input files Using JSON-formatted shape description files Output data formats Volumetric output Detected photon data Photon trajectory data Using MCXLAB in MATLAB and Octave Using MCX Studio...
Monte Carlo eXtreme (MCX) - CUDA Edition Author: Qianqian Fang (q.fang at neu.edu) License: GNU General Public License version 3 (GPLv3) Version: 2.0 (v2023, Heroic Hadron) Website: http://mcx.space Table of Content: What's New Introduction Requirement and Installation Running Simulations Using JSON-formatted input files Using JSON-formatted shape description files Output data formats Volumetric output Detected photon data Photon trajectory data Using MCXLAB in MATLAB and Octave Using MCX Studio...
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