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Technische Universität München

Matthias Stosiek, Dr. rer. nat.

Chair of AI-based Materials Science (Prof. Rinke)

Place of employment

Chair of AI-based Materials Science (Prof. Rinke)

Lichtenbergstr. 4(5403)/V
85748 Garching b. München

Curriculum Vitae
Google Scholar Profile
ORCID ID

Research Interests

My research aims to answer diverse questions in the natural sciences with machine learning methodology. A recent focus of mine has been the study of biophysical systems. In particular, I work on furthering our understanding of the structure-property relationship of Lignin-Carbohydrate Complexes.

Teaching

Winter term 2024/25

Course no. Title Dates Duration Type Lecturer (assistant)
0000002582 Computer Tutorial to Introduction to Machine Learning for Materials Science Link 2 UE
P. Rinke [L]
M. Stosiek
0000002574 Introduction to Machine Learning for Materials Science Link 2 VO
P. Rinke

Summer term 2025

Course no. Title Dates Duration Type Lecturer (assistant)
0000002938 Atomistic Machine Learning Link 2 VO
P. Rinke
0000002939 Computer Tutorial to Atomistic Machine Learning Link 2 UE
P. Rinke [L]
C. Larsen
M. Stosiek

Supervised Theses

Dissertation by Matthias Stosiek

Matthias Stosiek: Self-consistent-field ensembles of disordered Hamiltonians: Superconductor-Insulator Transition. Doktorvater: Prof. Dr. Ferdinand Evers, Universität: Universität Regensburg 07/2020.

Publications

SucheHinweis: Die „Schnellsuche“ findet nur Text in den angezeigten Feldern; nicht in Abstracts oder Schlagwörtern. Der Suchbegriff muss mindestens 3 Buchstaben lang sein.

2025

  • Zhang, Yuhao; Vaara, Maija; Alesafar, Azin; Nguyen, Duc Bach; Silva, Pedro; Koskelo, Laura; Ristolainen, Jussi; Stosiek, Matthias; Löfgren, Joakim; Vapaavuori, Jaana; Rinke, Patrick: Data-efficient optimization of thermally-activated polymer actuators through machine learning. Materials & Design 2025-05 253, 2025, 113908 mehr… BibTeX Volltext ( DOI )

2024

  • Diment D; Löfgren J; Alopaeus M; Stosiek M; Cho M; Xu C; Michael Hummel; Davide Rigo; Patrick Rinke; Mikhail Balakshin: AI-guided biorefinery optimization for the production of lignin-carbohydrate complexes with tailored properties. ChemRxiv. 2024-12, 2024 mehr… BibTeX Volltext ( DOI )
  • Diment, Daryna; Löfgren, Joakim; Alopaeus, Marie; Stosiek, Matthias; Cho, MiJung; Xu, Chunlin; Hummel, Michael; Rigo, Davide; Rinke, Patrick; Balakshin, Mikhail: Enhancing Lignin‐Carbohydrate Complexes Production and Properties With Machine Learning. ChemSusChem 2024-12, 2024 mehr… BibTeX Volltext ( DOI )

2023

  • Lizée, Mathieu; Stosiek, Matthias; Burmistrov, Igor; Cren, Tristan; Brun, Christophe: Local density of states fluctuations in a two-dimensional superconductor as a probe of quantum diffusion. Physical Review B 2023-05 107 (17), 2023 mehr… BibTeX Volltext ( DOI )

2022

  • Mathieu Lizee , Matthias Stosiek , Christophe Brun (1, 2) , Igor Burmistrov , Tristan Cren: Local density of state fluctuations in 2d multifractal superconductor. HAL Id : hal-03853822 , version 1 ARXIV : 2207.14596 2022-11, 2022 mehr… BibTeX
  • Stosiek, Matthias; Baretzky, Clemens; Balashov, Timofey; Evers, Ferdinand; Wulfhekel, Wulf: Friedel oscillations and superconducting gap enhancement by impurity scattering. Physical Review B 2022-04 105 (14), 2022 mehr… BibTeX Volltext ( DOI )

2021

  • Stosiek, M.; Evers, F.; Burmistrov, I. S.: Multifractal correlations of the local density of states in dirty superconducting films. Physical Review Research 2021-11 3 (4), 2021 mehr… BibTeX Volltext ( DOI )
  • Stosiek, Matthias; Weiner, Felix; Evers, Ferdinand: Anderson Transitions and Interactions. In: High Performance Computing in Science and Engineering '20 2022-01. Springer International Publishing, 2021 mehr… BibTeX Volltext ( DOI )

2020

  • Stosiek, Matthias; Lang, Bruno; Evers, Ferdinand: Self-consistent-field ensembles of disordered Hamiltonians: Efficient solver and application to superconducting films. Physical Review B 2020-04 101 (14), 2020 mehr… BibTeX Volltext ( DOI )

2019

  • Stosiek Matthias, Evers Ferdinand: Effects of self-consistency in mean-field theories of disordered systems: Superconductor Insulator Transition. DPG Spring meeting 2019 of the Condensed Matters Section (SKM) RN:50056844, Deutschen Physikalischen Gesellschaft; , 2019Verhandlungen der Deutschen Physikalischen Gesellschaft; ISSN 0420-0195; Worldcat; CODEN VDPEAZ; (Regensburg 2019 issue); [1 p.] 31 Mar - 5 Apr 2019-04 mehr… BibTeX

2018

  • Stosiek Matthias, Evers Ferdinand: Properties of self-consistent random matrices: Case study for the superconductor-insulator transition. CMD27: DPG Spring meeting 2018 - Joint Meeting of the DPG and EPS Condensed Matter Divisions together with the Statistical and Nonlinear Physics Division of the EPS and the working groups Equal Opportunities (DPG), Industry and Business (DPG), Deutschen Physikalischen Gesellschaft, 2018Verhandlungen der Deutschen Physikalischen Gesellschaft; ISSN 0420-0195; Worldcat; CODEN VDPEAZ; (Berlin 2018 issue); [1 p.] 11-16 Mar 2018-03 mehr… BibTeX
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