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mukhtarbayerouniversity's Projects

defect-design icon defect-design

Supplementary material accompanying Frey, N. C.; Akinwande, D.; Jariwala, D.; Shenoy, V. B. Machine Learning-Enabled Design of Point Defects in 2D Materials for Quantum and Neuromorphic Information Processing, ACS Nano (2020).

desmiles icon desmiles

Code associated with "A Deep-Learning View of Chemical Space Designed to Facilitate Drug Discovery"

displ icon displ

Utilities for transition metal dichalcogenide DFT and Wannier analysis, including transverse electric field and interlayer displacement

dmft_nn icon dmft_nn

DMFT calculations and Machine Learning prediction of Mott transition.

dragonfly icon dragonfly

An open source python library for scalable Bayesian optimisation.

drug_discovery_project icon drug_discovery_project

A computational drug discovery project, in which bioinformatic and machine learning tools are used to identify possible molecular targets and drug chemical features to treat prostate cancer

dscribe icon dscribe

DScribe is a python package for creating machine learning descriptors for atomistic systems.

elastic icon elastic

A module for ASE for elastic constants calculation.

elatools icon elatools

ElATools: A tool for analyzing anisotropic elastic properties of the 2D and 3D materials

elphmod icon elphmod

Python modules for electron–phonon models

em-template icon em-template

Article template for an Elemental Microscopy article

epc_grid_splitting icon epc_grid_splitting

Electron-Phonon Coupling (EPC) calculation in Quantum Espresso program with q-mesh and irreducible representation splitting

epw-nano icon epw-nano

Modified EPW code for first principles calculation of electron transport and thermoelectric property of materials, including electron-phonon scattering, defect scattering, and phonon drag.

erlabpy icon erlabpy

ERLabPy provides tools and utilities to handle, manipulate, and visualize data from angle-resolved photoemission spectroscopy (ARPES) experiments.

espresso icon espresso

Notes and tutorials on density functional theory calculations using Quantum Espresso.

eunomia icon eunomia

Chemist AI Agent for Developing Materials Datasets with Natural Language Prompts

exabyte-api-examples icon exabyte-api-examples

Example usage of Exabyte.io platform through its RESTful API: programmatically create materials and modeling workflows, execute simulations on the cloud, analyze data and build machine learning models

exmol icon exmol

Explainer for black box models that predict molecule properties

explainerdashboard icon explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

fairensics icon fairensics

:mag: A python library to discover and mitigate biases in machine learning models and datasets :mag:

fidimag icon fidimag

Finite DIfference microMAGnetic code, based on Python, Cython and C

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