Johan Schött

Work

• Mycronic (October 2024-Present)

Senior Engineer in Mycronic's High Performance Computing (HPC) group, focusing on CUDA programming.

• Orexplore (June 2019 - September 2024)

Physicist and software developer.
Analyze drill samples using x-ray spectroscopy, e.g. x-ray fluorescence (XRF) spectroscopy and x-ray computed tomography (CT).

• Uppsala University (Spring 2019)

Spectroscopy project consultant .
Developed software to treat off-diagonal hybridization functions, in order to study low symmetry materials.  Applied the functionality to doped LiNiO2.

• Gothenburg University (Summer 2013)

Research assistant at Physics Department.

Developed and parallelized a stochastic quantum mechanics impurity solver code and ran it on a supercomputer.

Education

• Machine Learning

Completed Machine Learning course by Stanford University on Coursera 2019. Certificate here.

• Ph.D. in Physics (2013-2018)

Materials Theory division, Uppsala University, Sweden

Thesis: Theoretical and Computational Studies of Strongly Correlated Electron Systems: Dynamical Mean Field Theory, X-ray Absorption Spectroscopy and Analytical Continuation

Supervisors: Olle Eriksson, Igor Di Marco, Oscar Grånäs, Patrik Thunström

Opponent: Tim Wehling (University of Bremen)

PhD committee: Myung Joon Han, Atsushi Hariki, Andrey Mishchenko, Katharina Ollefs, Yasmine Sassa  

Acted as referee for the journal Physical Review Letters in the field of strongly correlated electron systems.  

• Master in Science 

ETH Zürich, Zürich, Switzerland, (2011-2012)

Chalmers University of Technology, Gothenburg, Sweden, (2012-2013)

Master’s programme: Applied Physics

Major subject: Engineering Physics

Thesis: Analytic Continuation of Electronic Green's Functions from Imaginary to Real Time using Maximum Entropy

Supervisor: Mats Granath

• Bachelor of Science (2008-2011)

Chalmers University of Technology, Gothenburg, Sweden

Major subject: Engineering Physics

Thesis: Lattice-Boltzmanns ekvation och klassiska modeller för PDE Advisor: Alexei Heintz 

PhD research interests

• Density functional theory (DFT) and dynamical mean field theory (DMFT)

  • Exchange integrals. Calculated e.g. using L(S)DA+U

  • Magnetocrystalline anisotropy from first principles. Have studied MAE of fcc Ni using DFT+U and DFT+DMFT. Small energy differences (micro electron volt) requires a full potential code with a large numbers of k-points.

  • Exact diagonalization (ED) solver of impurity problem. Also participated in development of a stochastic ED solver. 

• X-ray absorption spectroscopy (XAS) and resonant inelastic x-ray scattering (RIXS)  of strongly correlated materials using DFT + MLFT. Theory applied to e.g. atomic scale visualization of strain-induced orbital anisotropy by achromatic atomic-plane resolved EELS. In this project Ti L-edges are analyzed in the presence of strain.

• Analytical Continuation. Padè approximant method, NNLS, NNT, maximum entropy method and  a stochastic optimization method.