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shibu778

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A passionate computational material scientist. I love learning new thing, teaching and solving problems.

  • 🔭 I’m currently working on first principles study of point defects

  • 🌱 I’m currently learning web development and scientific computing.

  • 👯 I’m looking to collaborate on first principle study of point defects in solids.

  • 🤝 I’m looking for help with scientific software development

  • ⚡ Fun fact Most of our problem never occurs outside our mind 😆.

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Connect with me:

@shibu778 @shibumeher2 shibu-meher-505947150 shibumeher @sm581

Languages and Tools:

python fortran c cplusplus javascript mongodb linux matlab git illustrator Quantum Espresso VASP

My Repositories

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shibu778

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Shibu Meher's Projects

ai-for-medical-diagnosis icon ai-for-medical-diagnosis

This repo contain my assignment notebooks for the Coursera AI for Medicine Specialization course. The link to the course: https://www.coursera.org/specializations/ai-for-medicine

as-qc-em-tutorial icon as-qc-em-tutorial

Autumn School Quantum Computing and Simulations for Energy Materials - Tutorial

ase icon ase

Atomic Simulation Environment - unofficial mirror from https://gitlab.com/ase/ase

awesome-cpp icon awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

c-plus-plus icon c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

coffee icon coffee

Corrections for formation energy and eigenvalues for charged defect simulations

coursera-web-development icon coursera-web-development

This repository contains all the practice assignment of the course HTML, CSS, Javascript Web developer course coursera.

cuda-training-series icon cuda-training-series

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

defectivator icon defectivator

Tools for generating point defects and defect complexes in periodic crystal structures

defects_workflow icon defects_workflow

Code used to build the defects dataset for the publication "Machine-learning structural reconstructions for accelerated point defect calculations"

density-functional-theory icon density-functional-theory

Fundamentals and Applications of Density Functional Theory with Interactive Live Scripts and Intuitive Codes

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