Alternatives and similar repositories for SLAMDUNCS:

Users that are interested in SLAMDUNCS are comparing it to the libraries listed below

• gabrielecoli / CNN-based-Inverse-Design
  All the codes and data used in "Inverse design of soft materials via a deep-learning-based evolutionary strategy", by G. M. Coli, E. Boat…
  ☆11Updated 3 years ago
• ClancyLab / NCM2018
  ☆18Updated 4 years ago
• KanHatakeyama / Integrating-multiple-materials-science-projects
  ☆14Updated 2 years ago
• pnnl / mol_dgnn
  Molecular Dynamic Graph Neural Network
  ☆19Updated 3 years ago
• nuwan-d / fracture_of_grahene
  A molecular dynamics tutorial for new researchers in the area of nanomechanics.
  ☆13Updated 2 years ago
• LiQianxiao / CloudPoint-MachineLearning
  ☆12Updated 5 years ago
• nuwan-d / polymer_metal_interface
  Provides some useful information and the LAMMPS input files to model a polymer-metal interface.
  ☆34Updated 3 years ago
• RuiyangLi6 / PINN-pBTE
  Physics-Informed Neural Networks for Solving Multiscale Mode-Resolved Phonon Boltzmann Transport Equation
  ☆18Updated 3 years ago
• ihalage / analogmat
  Unsupervised fingerprinting of disordered solids leading to analogical materials discovery.
  ☆10Updated last year
• stewu5 / HighTCond_Polymer_iqspr
  R codes for generating candidates of novel polymers with high thermal conductivity using iqspr (R package)
  ☆13Updated 5 years ago
• procf / RhINNs
  Rheology-informed Machine Learning Projects
  ☆12Updated 9 months ago
• cbrackley / simple_lammps_tutorial
  A simple tutorial for simulating polymers in LAMMPS.
  ☆9Updated 5 years ago
• mehmetfdemirel / PolycrystalGraph
  Code base for the graph neural network-based polygrain microstructure property prediction project
  ☆41Updated 2 years ago
• rajak7 / RL_kirigami
  Deep Reinforcement Learning Assisted Kirigami Design of 2D Material
  ☆8Updated 3 years ago
• mechanoChem / mechanoChemML
  mechanoChemML library
  ☆16Updated last year
• tianjuxue / polycrystal
  ☆26Updated 2 years ago
• phanakata / ML_for_kirigami_design
  Python package to model and to perform topology optimization for graphene kirigami using deep learning
  ☆29Updated 4 years ago
• rajak7 / Bayesian_Optimization_Material_design
  Accelerated Design of Layered Materials with Bayesian Optimization
  ☆17Updated 6 years ago
• aspuru-guzik-group / gemini
  scalable multi-fidelity machine learning
  ☆9Updated 3 years ago
• kjappelbaum / pyepal
  Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.
  ☆38Updated 3 months ago
• PKUsamPHTeam / ASPH-Code
  data and code to reduplicate paper: Topological representations of crystalline compounds for the machine-learning prediction of materials…
  ☆16Updated 3 years ago
• tiwarylab / TERP
  Thermodynamically Explainable Representations of AI and other black-box Paradigms
  ☆30Updated 2 months ago
• elejeune11 / Mechanical-MNIST
  Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…
  ☆27Updated 4 years ago
• ncrump / StatisticalMechanics
  Metropolis Monte Carlo particle simulations for statistical mechanics in Python and Cython. Simulates Lennard-Jones particles using a Mar…
  ☆11Updated 9 years ago
• lamm-mit / FieldPredictorGAN
  Deep learning model to predict complex stress and strain fields in hierarchical composites
  ☆23Updated last year
• GOMC-WSU / py-MCMD
  This python code creates hybrid MD/MC (NAMD/GOMC) simulations for the NVT, NPT, GCMC, and GEMC-NVT ensembles
  ☆36Updated 3 months ago
• tsudalab / MDTS
  Materials Design by Monte Carlo Tree Search
  ☆34Updated 3 years ago
• Neelfrost / microstructure-mas
  Microstructure Modeling and Simulation. Generate microstructures using site-saturation condition, and simulate grain growth using Monte C…
  ☆11Updated last month
• scidatasoft / matgen
  The inverse materials design is a key topic of materials science nowadays. The proposed software solutions are useful tools for decision …
  ☆11Updated 4 years ago