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Learning in infinite dimension with neural operators.
Code for "A Lightweight Multiscale Neural Network for Inversion of NMR Relaxation Measurements in Porous Media"
Department of Materials @ Imperial College London course: Modelling Materials with Density Functional Theory
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
Implementation for computing nonradiative recombination rates in semiconductors
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Mirror of the Kwant project https://gitlab.kwant-project.org/kwant/kwant
Asyn driver for the Linkam T96 controller using SDK 3.0
Python module to interface to Linkam's official SDK
A Julia package for calculating properties of crystalline solids.
Determining 1D Bose-Hubbard parameters for a continuous space Hamiltonioan
Julia package to compute trap-assisted electron and hole capture in semiconductors
📊 Path to a free self-taught education in Data Science!
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
High-Performance Symbolic Regression in Python and Julia
Tight-binding calculation of energy bands of some semiconductor materials.
Routines to fit complex resistivity spectra using the Cole-Cole model
A python wrapper for CONTIN integral equation solver
Seminars Computational Science 2016, University of Amsterdam. Slides for the presentation on the paper "Interactive Molecular Dynamics" by professor Daniel V. Schroeder
DEPRECATED use https://github.com/victorlei/smop instead LiberMate - A MATLAB to Python (SciPy/NumPy) Translator
1D model written in Python which solves the semiconductor Poisson-Drift-Diffusion equations using finite-differences.
A drift-diffusion modeling (DDM) framework for Python
Data Science Using Python
A Bokeh project developed for learning and teaching Bokeh interactive plotting!