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PhD student in the group of Boris Kozinsky at Harvard SEAS.

I work on molecular dynamics for materials science, with a focus on developing fast-but-accurate machine learning potentials. In particular, I work on profiling, optimization and GPU acceleration.

Highlights:

Contact: [email protected]

Anders Johansson's Projects

coretran icon coretran

An easy to follow library to make Fortran easier in general with wrapped interfaces, sorting routines, kD-Trees, and other algorithms to handle scientific data and concepts. The library contains core fortran routines and object-oriented classes.

dscribe icon dscribe

DScribe is a python package for creating machine learning descriptors for atomistic systems.

fortperc icon fortperc

Fortran percolation library with Hoshen-Kopelman algorithm.

highfive icon highfive

HighFive - Header-only C++ HDF5 interface

jdftx icon jdftx

JDFTx: software for joint density functional theory

lammps icon lammps

Public development project of the LAMMPS MD software package

lapack95 icon lapack95

Archive/mirror of Netlib LAPACK95 with cmake

mdtools icon mdtools

Some useful tools for working with LAMMPS.

ml1 icon ml1

First project in FYS-STK4155

ml3 icon ml3

Third project for FYS-STK4155

project5 icon project5

Project 5 in FYS3150 - Computational Physics

regression icon regression

Fortran implementations of ordinary least squares and Ridge regression (as well as non-functional LASSO) with bootstrapping and some analysis.

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