Name: Even Marius Nordhagen
Type: User
Company: University of Oslo
Bio: PhD candidate at Njord, a cross-disciplinary Geology-Physics center hosted by the Faculty of Mathematics and Natural Sciences at the University of Oslo.
Location: Oslo
Even Marius Nordhagen's Projects
2048 game written in Python with simple solver
Monte Carlo package for simulating atoms interacting with non-bonded potentials
Count rings in a undirected graph.
Evaluate TIP3P potential based on chemical potential and surface tension for various parameter sets
Forecasting the obtained fantasy premier league points of all players using machine learning. Training data will be taken from https://github.com/vaastav/Fantasy-Premier-League
FYS-STK4155 โ Applied data analysis and machine learning
Computational physics II: Quantum mechanical systems
Course material FYS4460
FYS4480 - Quantum mechanics for many-particle systems
FYS4480-Quantum mechanics for many-particle systems
Python repository for generating molecular potential files for LAMMPS.
Integrate along any coexistence curve using the Gibbs-Duhem equation
GPU Optimized Monte Carlo (GOMC) wrapper written in Python for automatized operations
gyro fun
Restricted Hartree-Fock framework, which takes the matrix elements of a given (orthogonal) basis as inputs and returns the corresponding coefficients. The code is written in Python.
In the first place this repository will contain Gaussian quadrature only, but I hope to extend the span of methods gradually.
Public development project of the LAMMPS MD software package
Some tools for for analyzing LAMMPS log files and dump files
Benchmark CPUs and GPUs by running molecular dynamics simulations in LAMMPS
Tool to read a logfile produced by LAMMPS into a simple python data structure with a get()-function providing the log data.
Python package for launching LAMMPS simulations
Course work, mostly postgraduate courses
All work related to my master thesis will be uploaded here
Molecular dynamics simulations in LAMMPS
Molecular dynamics in Python
Workshop for maskinlรฆring tirsdag 10. mars
Open source platform for the machine learning lifecycle