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Materials for Mathematics for Computer Science by Lehman, Leighton and Meyer
This repository provide source code with solutions to all relevant exercises in the book entitled "A Computational Introduction to Quantum Physics", by Sølve Selstø"
😈 A lightweight literate Emacs config with even better "better defaults". Shipped with a custom theme!
Notes and codes for graphene stacks optical absorption [Publication: Phys. Scr. 99, 035513 (2024)].
The summer training course on the Bayesian Optimization
quantum computing book list - A book list for those who want to self-study quantum computing
A self-paced, quantum computing learning journey for high school students and above.
The goal of this project is to compute an upper bound to the ground state energy for different quantum systems: the Harmonic Oscillator, the Hydrogen atom and the Helium atom. To do so, we make use…
2014: Variational Monte Carlo for the harmonic oscillator, helium, hydrogen and H2 - IPython notebook and FORTRAN90
Readings and notes on the past, present, and future of books
Master the command line, in one page
Fortran and Python examples to accompany the book "Computer Simulation of Liquids" by Michael P. Allen and Dominic J. Tildesley (2nd edition, Oxford University Press, 2017). Use the "Code" button, …
A library of fortran modules and routines for scientific calculations (*in a way* just like scipy for python)
Fortran 2018 standard examples with broad applications
Quantum Mechanics and Schrodinger Equation Solvers in Python.
BoltzGnu Contains Gnuplot Scripts which allow to plot BoltzTraP Output Data
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Esercitazioni DFT con quantum espresso
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Calculation of intersubband plasmons in doped carbon nanotubes.
Code listings for Modern Fortran: Building Efficient Parallel Applications