Alternatives and similar repositories for NCM2018

Users that are interested in NCM2018 are comparing it to the libraries listed below

• piyushtagade / SLAMDUNCS
  A deep learning Bayesian framework for attribute driven inverse materials design
  ☆14Updated 5 years ago
• lamalab-org / pyepal
  Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.
  ☆40Updated 3 months ago
• mehmetfdemirel / PolycrystalGraph
  Code base for the graph neural network-based polygrain microstructure property prediction project
  ☆45Updated 3 years ago
• PV-Lab / autoXRD
  Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation
  ☆50Updated 5 years ago
• aryandeshwal / BO_of_COFs
  Python code for the paper Bayesian Optimization of Nanoporous Materials.
  ☆24Updated 2 years ago
• rajak7 / Bayesian_Optimization_Material_design
  Accelerated Design of Layered Materials with Bayesian Optimization
  ☆19Updated 6 years ago
• PV-Lab / Benchmarking
  Benchmarking
  ☆30Updated 3 years ago
• SergeiVKalinin / MSE_Spring2024
  The materials for the Spring Mathematics in Materials course at the UTK MSE
  ☆49Updated last year
• aspuru-guzik-group / gemini
  scalable multi-fidelity machine learning
  ☆10Updated 4 years ago
• KanHatakeyama / Integrating-multiple-materials-science-projects
  ☆14Updated 3 years ago
• ziatdinovmax / AugmentedGaussianProcess
  Gaussian process augmented with a probabilistic model of expected system's behavior
  ☆15Updated 3 years ago
• NU-CUCIS / MDN-GAN
  A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materi…
  ☆10Updated 2 years ago
• agayonlombardo / pores4thought
  ☆25Updated 5 years ago
• ShuHuang / batterygui
  Graphic user interface (GUI) for the battery database.
  ☆16Updated 2 years ago
• PKUsamPHTeam / ASPH-Code
  data and code to reduplicate paper: Topological representations of crystalline compounds for the machine-learning prediction of materials…
  ☆21Updated 4 years ago
• nuwan-d / polymer_metal_interface
  Provides some useful information and the LAMMPS input files to model a polymer-metal interface.
  ☆38Updated 3 years ago
• usccolumbia / materialsUQ
  Uncertainty Quantification for Materials Property Prediction: a Benchmark Study
  ☆16Updated 10 months ago
• fuzhanrahmanian / MADAP
  Python Package for electrochemical analysis
  ☆23Updated 2 months ago
• ShuHuang / batterydataextractor
  BatteryDataExtractor: battery-aware text-mining software embedded with BERT models.
  ☆20Updated 2 years ago
• PhasesResearchLab / ESPEI
  Fitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59
  ☆74Updated 4 months ago
• mdai26 / PGNN
  Polycrystal Graph Neural Network
  ☆23Updated 2 years ago
• usccolumbia / MLatticeABC
  Machine learning model for crystal lattice constant prediction
  ☆14Updated 4 years ago
• angeloziletti / ai4materials
  Deep learning for crystal-structure recognition and analysis of atomic structures
  ☆42Updated last year
• VlachosGroup / Intro-to-KMC
  Introduction to kinetic Monte Carlo (kMC) Simulations with Examples in Jupyter Notebooks
  ☆26Updated 5 years ago
• tsudalab / MDTS
  Materials Design by Monte Carlo Tree Search
  ☆34Updated 3 years ago
• olivettigroup / sdata-data-plots
  Plots for "Machine-learned and codified synthesis parameters of oxide materials" in the journal Scientific Data
  ☆14Updated 8 years ago
• BattModels / electrodep
  MOOSE Application for simulation of electrodeposition in Li-ion batteries
  ☆17Updated 3 years ago
• qzhu2017 / PyXtal_ml
  a Python3 library for ML modeling materials properties
  ☆11Updated 5 years ago
• peizong / alloy2vec
  ☆11Updated 9 months ago
• ShuHuang / batterydatabase
  Tools for auto-generating the battery-materials database.
  ☆46Updated 2 years ago