GO-MELT: GPU-Optimized Multilevel Execution of LPBF Thermal simulations
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Updated
May 12, 2024 - Python
GO-MELT: GPU-Optimized Multilevel Execution of LPBF Thermal simulations
GraphGeneration: Modeling and design of hierarchical bio-inspired de novo spider web structures using deep learning and additive manufacturing
XTANT-3: X-ray-induced Thermal And Nonthermal Transitions
旷视AI智慧交通开源赛道 **非官方**第二名解决方案(初赛/决赛第二名, 0.61447/0.58183)
A Kinetic Monte Carlo super-Lattice code designed to simulate with atomic resolution the kinetics of processes (e.g., PVD, CVD, laser annealing) involving elements, alloys and compounds characterized by the sp3 bond symmetry.
Multiscale simulation on the blood coagulation cascade with comparisons between normal and diabetic blood
Python implementation(s) of common models of brightness/lightness perception that use multiscale spatial filtering
Toolkit for multiscale modeling with LAMMPS in Python 3.x. It integrates with LAMMPS-GUI and leverages Large Language Models for rapid prototyping.
A workflow developed to tackle the challenge of building and analyzing biochemical pathway models, combining pre-existing tools and custom-made software.
Code for simulation and validation of Hybrid Discrete-Continuum of cancer growth with applications in 3D cancer cell cultures
Code for simulation and validation of Hybrid Discrete-Continuum models of cancer growth with applications in 3D cancer cell cultures in presence and absence of treatment.
Grain growth and visualization program for multiscale modeling.
This repository demonstrates multiscale modeling of copper heat pipes using machine learning, integrating grain-scale data with FEA via a UMAT. It highlights grain size’s impact on stress, strain, and heat transfer for optimized material design.
Acoustic Communication Underwater Mimicking Sea Classification by Multiscale Deep Features Aggregation and Low Complexity, and Data Augmentation.
Grains growth modeling using cellular automata and monte carlo methods
The ARL Hierarchical MultiScale Framework (ARL-HMS) is a software library for development of multiscale models on heterogeneous high-performance computing systems.
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