Name: Krishnendu Mukherjee
Type: User
Company: University of Notre Dame
Bio: A Chemical Engineer interested in applying molecular modeling and data science/statistics methods to discover new materials.
Location: Notre Dame
Krishnendu Mukherjee's Projects
An Active learning algorithm for multi-component adsorption prediction in MOF
A port of the Airspace theme by ThemeFisher to Jekyll. http://comh.cf/airspace-jekyll/
Applied Machine Learning Explainability Techniques, published by Packt
A complete computer science study plan to become a software engineer.
Files used in TMP Chem videos on computational chemistry
studying notes about DeepLearning_NYU2020 course
Hartree_Fock_jupyter_notebook
Prediction of World Cup 2019 using Artificial Intelligence and Machine Learning.
A directory of the best-looking themes for Jekyll blogs
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接
Monte Carlo and Molecular Dynamics Simulation Package
Minimal Mistakes GitHub Pages site starter
A tool to analyze trajectory files
My own personal website.
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
These are important tools written for working with ORCA (a computational chemistry open source package) in a super-computing environment. They include multiple job submission scripts (BASH), multiple job cancellation (BASH), job setup with different geometries (in python), data extraction (BASH), final optimized geometry extraction (BASH) and
Examples of applications of pymbar to various problems in simulation and experiment
Open-source foundation of the user-sponsored PyMOL molecular visualization system.
A lightweight C++11 Monte Carlo molecular simulation engine
Scipy cookbook converted to Sphinx
Sequential design of adsorption simulation for small molecule adsorption in a MOF
Public release of SSAGES