data-resources-for-materials-scienceA list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
Stars: ✭ 81 (+68.75%)
pytopomatPython Topological Materials (pytopomat) is a code for easy, high-throughput analysis of topological materials.
Stars: ✭ 19 (-60.42%)
matador⚗️ matador is an aggregator, manipulator and runner of first-principles calculations, written with a bent towards battery 🔋 electrode materials.
Stars: ✭ 23 (-52.08%)
tildeMaterials informatics framework for ab initio data repositories
Stars: ✭ 19 (-60.42%)
SMACTPython package to aid materials design
Stars: ✭ 46 (-4.17%)
MolDQN-pytorchA PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
Stars: ✭ 58 (+20.83%)
nequipNequIP is a code for building E(3)-equivariant interatomic potentials
Stars: ✭ 312 (+550%)
masci-toolsTools, utility, parsers useful in daily material science work
Stars: ✭ 18 (-62.5%)
CrabNetPredict materials properties using only the composition information!
Stars: ✭ 57 (+18.75%)
ReactionNetworkImporters.jlJulia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices
Stars: ✭ 21 (-56.25%)
catplotA Python Library for Energy Profile and Abstract Grid(2D/3D) plotting
Stars: ✭ 31 (-35.42%)
PyVibMSA PyMOL plugin for visualizing vibrations in molecules and solids
Stars: ✭ 23 (-52.08%)
xtpGW-BSE for excited state Quantum Chemistry in a Gaussian Orbital basis, electronic spectroscopy with QM/MM, charge and energy dynamics in complex molecular systems
Stars: ✭ 26 (-45.83%)
masterThis is an Open-Source, community-driven project for the creation of a documentation hub for Raspberry Pi and ARM Cardano Stake Pool Operators.
Stars: ✭ 18 (-62.5%)
catalyst9k-network-automationSample python scripts for automation workflows for feature sets present in Catalyst Switching using openly available YANG data models
Stars: ✭ 40 (-16.67%)
tdmmsTwo-dimensional materials manufacturing system
Stars: ✭ 17 (-64.58%)
QCxMSQuantum mechanic mass spectrometry calculation program
Stars: ✭ 25 (-47.92%)
CRNNChemical Reaction Neural Network
Stars: ✭ 43 (-10.42%)
ShinyCMSShinyCMS is an open source CMS. This is the Perl version, built with Catalyst and DBIC. (There is also a Ruby on Rails version: www.github.com/denny/ShinyCMS-ruby)
Stars: ✭ 55 (+14.58%)
ai4materialsDeep learning for crystal-structure recognition and analysis of atomic structures
Stars: ✭ 26 (-45.83%)
atomaiDeep and Machine Learning for Microscopy
Stars: ✭ 77 (+60.42%)
MomentClosure.jlTools to generate and study moment equations for any chemical reaction network using various moment closure approximations
Stars: ✭ 34 (-29.17%)
SBMLToolkit.jlSBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit
Stars: ✭ 25 (-47.92%)
project-catalyst.github.ioA community managed site for Cardano Catalyst. Aiming to gather resources and serve as an information hub for the community
Stars: ✭ 18 (-62.5%)
hipercHigh Performance Computing Strategies for Boundary Value Problems
Stars: ✭ 36 (-25%)
graphchemGraph-based machine learning for chemical property prediction
Stars: ✭ 21 (-56.25%)
streamplifyJava 8 combinatorics-related streams and other utilities
Stars: ✭ 40 (-16.67%)
QUBEKitQuantum Mechanical Bespoke Force Field Derivation Toolkit
Stars: ✭ 64 (+33.33%)
xtb-pythonPython API for the extended tight binding program package
Stars: ✭ 61 (+27.08%)
ONCVPseudoPackCollection of ONCVPSP pseudopotentials for density-functional theory calculations
Stars: ✭ 6 (-87.5%)
thermo pwThermo_pw is a driver of quantum-ESPRESSO routines for the automatic computation of ab-initio material properties.
Stars: ✭ 34 (-29.17%)
DENOPTIMDENOPTIM is a software package for de novo design and virtual screening of functional molecules of any kind.
Stars: ✭ 23 (-52.08%)
QCElementalPeriodic table, physical constants, and molecule parsing for quantum chemistry.
Stars: ✭ 116 (+141.67%)
series-formellesTranslation of, and commentary on, Joyal's classic paper "Une théorie combinatoire des séries formelles" (A combinatorial theory of formal series)
Stars: ✭ 24 (-50%)
discrete-math-python-scriptsPython code snippets from Discrete Mathematics for Computer Science specialization at Coursera
Stars: ✭ 98 (+104.17%)
dnn.coolA framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.
Stars: ✭ 44 (-8.33%)
DeepChem-WorkshopDeepChem 2017: Deep Learning & NLP for Computational Chemistry, Biology & Nano-materials
Stars: ✭ 22 (-54.17%)
QUICKQUICK: A GPU-enabled ab intio quantum chemistry software package
Stars: ✭ 79 (+64.58%)
screenlampscreenlamp is a Python toolkit for hypothesis-driven virtual screening
Stars: ✭ 20 (-58.33%)
SwiftCurrentA library for managing complex workflows in Swift
Stars: ✭ 286 (+495.83%)
uf3UF3: a python library for generating ultra-fast interatomic potentials
Stars: ✭ 19 (-60.42%)
pyljTeaching Utility for Classical Atomistic Simulation.
Stars: ✭ 23 (-52.08%)
qcmaquisRelease-only repository for SCINE QCMaquis, the DMRG software from the Reiher group.
Stars: ✭ 18 (-62.5%)
AbacusAdvanced Combinatorics and Algebraic Number Theory Symbolic Computation library for JavaScript, Python
Stars: ✭ 16 (-66.67%)
AdvancedList-SwiftUIMOVED to https://github.com/crelies/AdvancedList | Advanced list with empty, error and loading state implemented with SwiftUI
Stars: ✭ 41 (-14.58%)
qp2Quantum Package : a programming environment for wave function methods
Stars: ✭ 37 (-22.92%)
ASALIDo you work with chemical reactors? Are you curious about them? ASALI is the open-source code that you are looking for. Chemical reactor models, transport/thermodynamic properties of gases, equilibrium calculations. ASALI couples all these features with an user friendly graphical interface. Modeling catalytic reactors has never been so easy.
Stars: ✭ 38 (-20.83%)
MDBenchmarkQuickly generate, start and analyze benchmarks for molecular dynamics simulations.
Stars: ✭ 64 (+33.33%)
dmol-bookDeep learning for molecules and materials book
Stars: ✭ 458 (+854.17%)
phoebeA high-performance framework for solving phonon and electron Boltzmann equations
Stars: ✭ 33 (-31.25%)
DMFTwDFTDMFTwDFT: An open-source code combining Dynamical Mean Field Theory with various Density Functional Theory packages
Stars: ✭ 39 (-18.75%)
combinateCombinatorics generator for JavaScript and Typescript.
Stars: ✭ 20 (-58.33%)