Pinned Repositories
2D_Elastic-Properties
First-principles calculated elastic and mechanical properties of 2D materials and their heterostructures
abICS
ab-Initio Configuration Sampling tool kit (abICS)
amset
Electronic transport properties from first-principles calculations
elastool
A toolkit for automatic calculation and analysis of elastic constants
Machine-Learning-and-EDA-Exploratory-Data-Analysis-Projects
Optical-Modeling-of-Next-Gen-IB-Photovoltaics
Optical Modeling of Next-Gen IB Photovoltaics
perovskene-materials
Frontiers in 2D Perovskene: Tailoring ABC3 Perovskite Structures for Next-Generation Material Applications
PropertyExtractor
Generative AI-based Software for Material Property and Database Generation
smatool
Open-source first-principles computational toolkit for the efficient calculation of the strength of materials in 1D, 2D, and 3D materials at both zero and finite temperatures
THICK2D
Computational toolkit for efficient prediction of the thickness of 2D materials
gmp007's Repositories
gmp007/2D_Elastic-Properties
First-principles calculated elastic and mechanical properties of 2D materials and their heterostructures
gmp007/smatool
Open-source first-principles computational toolkit for the efficient calculation of the strength of materials in 1D, 2D, and 3D materials at both zero and finite temperatures
gmp007/elastool
A toolkit for automatic calculation and analysis of elastic constants
gmp007/PropertyExtractor
Generative AI-based Software for Material Property and Database Generation
gmp007/perovskene-materials
Frontiers in 2D Perovskene: Tailoring ABC3 Perovskite Structures for Next-Generation Material Applications
gmp007/THICK2D
Computational toolkit for efficient prediction of the thickness of 2D materials
gmp007/Machine-Learning-and-EDA-Exploratory-Data-Analysis-Projects
gmp007/Optical-Modeling-of-Next-Gen-IB-Photovoltaics
Optical Modeling of Next-Gen IB Photovoltaics
gmp007/datasets
A collection of datasets of ML problem solving
gmp007/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
gmp007/Custom-Design-of-2D-based-Materials
A pipeline to automate the creation 2D-based van der Waals materials and intercalating them with organic molecules
gmp007/deepxde
A library for scientific machine learning and physics-informed learning
gmp007/DynaPhoPy
Phonon anharmonicity analysis from molecular dynamics
gmp007/email2phonenumbergmp
A OSINT tool to obtain a target's phone number just by having his email address
gmp007/Hetero2D
Automate the discovery of stable 2D materials stacked on substrates (either another 2d or substrate surface)! Compute the properties of the interacting system!
gmp007/KerGaNs
Various GANs with Keras (With diginmon generator as example)
gmp007/kirigami
Deep Reinforcement Learning Assisted Kirigami Design of 2D Material
gmp007/machine_learning_class
Machine Learning Class
gmp007/machine_learning_refined
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
gmp007/Mastering-Elasticsearch-7.0
Mastering Elasticsearch 7.0, published by Packt
gmp007/mechviz
gmp007/metapub
Python toolkit for NCBI metadata (via eutils) and pubmed article text mining -- official primary repo.
gmp007/mstar
Effective mass calculation with DFT
gmp007/Multifidelity_GPDNN
gmp007/openai-cookbook
Examples and guides for using the OpenAI API
gmp007/Optical-Modeling
Optical Modeling (Transfer Matrix): Modeling the light propogation, light absorption, transmission, and reflection in a multi-layer thin-film stack and current in solar cells.
gmp007/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
gmp007/TensoIR
[CVPR 2023] TensoIR: Tensorial Inverse Rendering
gmp007/V2DB
V2DB (Virtual 2D Materials Database): the code for generating and predicting the novel 2D materials by virtual screening.
gmp007/wannier_tools
WannierTools: An open-source software package for novel topological materials. Full documentation: