Alternatives and similar repositories for Notebooks-for-papers:

Users that are interested in Notebooks-for-papers are comparing it to the libraries listed below

• ziatdinovmax / atomai
  Deep and machine learning for atomic-scale and mesoscale data
  ☆12Updated last year
• artemmaksov / ORNL-DeepLearningForAtomicScaleDefectTracking
  Deep Learning Analysis of Defect and Phase Evolution During Electron Beam Induced Transformations in WS2
  ☆14Updated 6 years ago
• KanHatakeyama / Integrating-multiple-materials-science-projects
  ☆14Updated 2 years ago
• pycroscopy / AISTEM_WORKSHOP_2020
  Materials for "AI for Atoms: How to Machine Learn STEM" Workshop
  ☆19Updated 4 years ago
• ClarkResearchGroup / stem-learning
  Package to use an FCN to learn defects from STEM imaging
  ☆23Updated last year
• pycroscopy / AICrystallographer
  Here, we will upload our deep/machine learning models and 'workflows' (such as AtomNet, DefectNet, SymmetryNet, etc) that aid in automate…
  ☆35Updated 3 years ago
• MaterialEyes / Plot2Spec
  an automatic plot digitizer for spectroscopy images (i.e. XANES and Raman)
  ☆34Updated 2 years ago
• FWin22 / drprobe_interface
  Python interface for the Dr. Probe command line tools
  ☆12Updated 3 years ago
• njszym / ARROWS
  ☆18Updated last year
• helgestein / materials-images-spectra
  This repository contains code for handling the materials images and spectra dataset that is the largest expermental materials science dat…
  ☆15Updated last year
• angeloziletti / ai4materials
  Deep learning for crystal-structure recognition and analysis of atomic structures
  ☆40Updated last year
• fenning-research-group / PASCAL
  Codebase to drive the Perovskite Automated Spin Coat Assembly Line (PASCAL) in the Fenning research group.
  ☆15Updated 3 weeks ago
• rajak7 / Bayesian_Optimization_Material_design
  Accelerated Design of Layered Materials with Bayesian Optimization
  ☆18Updated 6 years ago
• usnistgov / atomvision
  Deep learning framework for atomistic image data
  ☆35Updated 3 months ago
• CumbyLab / gridrdf
  Code for calculating grouped representation of interatomic distances (GRID) from crystal structures, and applying this in machine learnin…
  ☆12Updated last year
• CitrineInformatics / MPEA_dataset
  Expanded dataset of mechanical properties and observed phases of multi-principal element alloys
  ☆32Updated 2 years ago
• pycroscopy / pyTEMlib
  TEM data quantification library through a model-based approach
  ☆18Updated last week
• ePSIC-DLS / particlespy
  Package for analysing particles in electron microscopy data sets.
  ☆19Updated 11 months ago
• zhenpengyao / Supramolecular_VAE
  ☆32Updated 4 years ago
• dd-debug / synthesis_planning_algorithm
  A synthesis planning algorithm designed by Jiadong Chen, Wenhao Sun, in University of Michigan.
  ☆16Updated 7 months ago
• SergeiVKalinin / AutomatedExperiment_Summer2023
  The summer training course on the Bayesian Optimization
  ☆27Updated last year
• MaterialEyes / atomagined
  Main page for the 'atomagined' database. The 'atomagined' database contains synthetic atomic-resolution HAADF STEM images for select ICSD…
  ☆14Updated 5 years ago
• maffettone / xca
  Crystallography Companion Agent
  ☆21Updated 2 years ago
• pycroscopy / DTMicroscope
  Digital Twin Microscope
  ☆14Updated 4 months ago
• ziatdinovmax / GPim
  Gaussian processes and Bayesian optimization for images and hyperspectral data
  ☆57Updated last year
• lrcfmd / ChemDASH
  Chemically Directed Atom Swap Hopping -- Crystal structure prediction by swapping atoms in unfavourable chemical environments
  ☆22Updated 2 years ago
• LL8848 / viscosity_md
  Code for running NEMD simulation on LAMMPS and post-processing the results to compute viscosity
  ☆17Updated 4 years ago
• CederGroupHub / alabos
  AlabOS: Managing the workflows in the Autonomous lab
  ☆41Updated last week
• originofmatter / MatGAN
  Generative deep learning model for inorganic materials
  ☆18Updated 2 years ago
• materialsvirtuallab / nano281
  Data Science for Materials Science
  ☆63Updated last week