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arxiv 2301.00611 v1 pith:KVBK4PSU submitted 2023-01-02 physics.comp-ph cond-mat.mtrl-scicond-mat.soft

Vaclav Smilauer , Vasileios Angelidakis , Emanuele Catalano , Robert Caulk , Bruno Chareyre , William Chevremont , Sergei Dorofeenko , Jerome Duriez
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Nolan Dyck Jan Elias Burak Er Alexander Eulitz Anton Gladky Ning Guo Christian Jakob Francois Kneib Janek Kozicki Donia Marzougui Raphael Maurin Chiara Modenese Gary Pekmezi Luc Scholtes Luc Sibille Jan Stransky Thomas Sweijen Klaus Thoeni Chao Yuan
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classification physics.comp-phcond-mat.mtrl-scicond-mat.soft
keywords yadedevelopmentdiscretedocumentationgitlabhostedpythonsource
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Yade is an extensible open-source framework for discrete numerical models, focused on the Discrete Element Method. The computation parts are written in c++ using a flexible object model and allowing independent implementation of new algorithms and interfaces. Python is used for rapid and concise scene construction, simulation control, postprocessing and debugging. Yade is located at yade-dem.org, which contains this documentation. Development is kindly hosted on launchpad and GitLab ; they are used for source code, bug tracking and source downloads and more. Building, regression tests and packages distribution are hosted on servers of the Grenoble Geomechanics group at Laboratoire 3SR, UMS Gricad and Gda\'nsk University of Technology. Yade supports high precision calculations and Python 3. The development branch is on GitLab.

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  1. Microstructure-Conditioned Surrogate Models for Graded Multiscale Optimization of Mycelium Composites

    cs.LG 2026-07 conditional novelty 6.0 of 10

    A hypernetwork-conditioned physics-based surrogate predicts homogenized stress from microstructure and manufacturing variables, making graded multiscale optimization of mycelium composites tractable.

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