matteo-northvolt

matteo-northvolt's Stars

• FaradayInstitution/continuum-model-review

  Supporting material for the review of continuum models by Brosa Planella et al (2022).

  Language:Jupyter Notebook132

• MitchBall/AMIDR

  The Atlung Method for Intercalant Diffusion and Resistance (AMIDR), a "complete pulse" method. Developed in the Jeff Dahn Research Group as a sequel to AMID:

  Language:JetBrains MPS2

• paramm-team/pybamm-param

  Parameter optimisation for PyBaMM.

  Language:Python388

• cidetec-energy-storage/PINN-SPM-fast-prototyping

  Physics-informed neural network trained to provide the evolution of lithium concentration in active material particles in both electrodes during a discharge process as well as the discharge curve of the full battery, based on the Single Particle Model.

  Language:Jupyter Notebook11

• LukasRier/GalvAnalyze

  GalvAnalyze is a tool created to simplify the analysis of galvanostatic charge-discharge cycling data.

  Language:Python3

• m3g/Packmol.jl

  The future of Packmol

  Language:Julia252

• BIG-MAP/big-map-registry

  Registry for BIG-MAP apps and codes. Find the apps

  Language:Python1033

• MicheleCotrufo/pdf-renamer

  A python tool to automatically rename the pdf files of scientific publications by looking up the publication metadata on the web.

  Language:Python13922

• datalab-org/datalab

  datalab is a place to store experimental data and the connections between them.

  Language:Python5117

• nomad-coe/nomad

  NOMAD lets you manage and share your materials science data in a way that makes it truly useful to you, your group, and the community.

  Language:JavaScript7920

• Battery-Intelligence-Lab/galv

  An open-source platform for automated storage of battery data with advanced metadata support

  Language:Python348

• Battery-Intelligence-Lab/SLIDE

  SLIDE is C++ code that simulates degradation of lithium ion cells. It extends the single particle model with various degradation models from literature. Users can select which degradation models they want to use for a given simulation.

  Language:C++11934

• electrical-and-electronic-measurement/LiBEIS

  Software tool for Electrochemical Impedance Spectroscopy (EIS) computation on rechargable litium batteries

  Language:Python52

• ECSHackWeek/impedance.py

  A Python package for working with electrochemical impedance data

  Language:Python228104

• MarcBerliner/PETLION.jl

  High-performance simulations of the Porous Electrode Theory for Li-ion batteries

  Language:Julia7011

• TRI-AMDD/mpet

  MPET lithium-ion battery simulator

  Language:Python297

• pybamm-team/PyBaMM

  Fast and flexible physics-based battery models in Python

  Language:Python1.1k572

• TRI-AMDD/beep

  Battery evaluation and early prediction

  Language:Python13362

• jepegit/cellpy

  extract and tweak data from electrochemical tests of cells

  Language:Python8931

• dgbowl/yadg

  yadg: yet another datagram

  Language:Python3614

• alexispaz/DFTB_LiSi

  DFTB model for Lithium-Silicon Alloys

  2

• jkitchin/dft-book

  A book on modeling materials using VASP, ase and vasp

  Language:Python355142

• deepmodeling/deepmd-kit

  A deep learning package for many-body potential energy representation and molecular dynamics

  Language:C++1.6k525

• zhongpc/drxnet

  A Python package for learning representations of battery discharge voltage profiles across diverse compositions in disordered rocksalt cathodes (DRX).

  Language:Python131

• CederGroupHub/chgnet

  Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov

  Language:Python26768

• atomisticnet/aenet

  Atomic interaction potentials based on artificial neural networks

  Language:Fortran11741

• aoterodelaroza/critic2

  Analysis of quantum chemical interactions in molecules and solids.

  Language:Fortran10235

• mcs-cice/IonExplorer2

  IonExplorer2 - a program for calculation of ion diffusion characteristics of crystalline ion conductors.

  Language:Python8

• zhaoqy1996/Delta2ML

  Delta^2 ML model that takes GFN2-xTB level geometries and energies to provide DFT and G4-level energy prediction.

  Language:Python71

• Jamson-Zhong/Graph2Edits

  Language:Python296