(Nano)Materials modeling

group of professor Petr Nachtigall

People of the Group

Academic Staff

Christopher James Heard

Ph.D.

Assistant professor (group co-leader)

Lukaš Grajciar

RNDr., Ph.D.

Assistant professor (group co-leader)

Junjie He

Ph.D.

Assistant professor

Andreas Erlebach

Ph.D.

Researcher

Carlos Bornes

Ph.D.

Postdoctoral fellow

Zhaobo Zhou

Ph.D.

Postdoctoral fellow

Tereza Benešová

Mgr.

Doctoral student

Deborah Brako-Amoafo

M.Sc.

Doctoral student

Mingxiu Liu

M.Sc.

Doctoral student

Chen Lei

M.Sc.

Doctoral student

Min Li

M.Sc.

Doctoral student

Idranil Saha

M.Sc.

Doctoral student

Denisa Nováková

Diploma Student

Kristýna Pokorná

Diploma Student

Jakub Szmitek

Diploma Student

Daniel Willimetz

Diploma Student

Richard Kendra

Diploma Student

Research Topics

Ultrafast dynamics in nanomaterials

  • Real-time ab initio study of laser pulse induced ultrafast process
  • Ultrafast magnetization dynamics at femtoseconds and attoseconds
  • Angular momentum transfer of excited spin, orbital, phonon
  • Excited carrier dynamics and ultrafast ...

Magnetic/Spintronic Materials

  • Multi-scale simulations of magnetic property in 2D materials
  • Design and discovery of high temperature magnetic materials
  • Controlling electronic and magnetic property with external stimuli
  • Valley polarization and spin-valley coupling
  • Quantum ...

Zeolites

  • Operando modelling of zeolite hydrolysis
  • Modelling of zeolite synthesis processes
  • NMR characterization of zeolites
  • Machine Learning-assisted materials discovery

Oxide-supported metal clusters/nanoparticles

  • Ab initio global structure optimisation of clusters in zeolites
  • Modelling of sintering/migration kinetics of encapsulated particles
  • Dynamics of cluster diffusion and growth on oxide surfaces
  • Machine learning-driven cluster modelling ...

Method Development

  • Density functional global optimisation
  • DFT software development and implementation (TURBOMOLE)
  • Development of neural network potentials and active/delta learning methods
  • Machine learning based enhanced sampling schemes for reactive modelling
  • Development ...

Zeolite Hydrolysis

  • Ab Initio molecular dynamics/biased dynamics simulations
  • Zeolite hydrolysis mechanisms under realistic conditions
  • Dynamical simulation of NMR spectra

Open Positions

Bachelor Projects

  • Operando NMR characterization of zeolites via a double machine learning‬ ‭approach (Dr. Christopher Heard)
  • Understanding of supported catalytic metal nanoalloys via machine learning‬ ‭(Dr. Christopher Heard)
  • Optimising the performance of the enhanced sampling methods for zeolitic‬ ‭systems with the help of neural network potentials” (Dr. Lukas Grajciar)‬
  • Optimising the performance, data-efficiency and transferability of neural‬ ‭network potentials for zeolitic systems” (Dr. Lukas Grajciar)
  • Performance analysis of differential simulations at enhancing and discovery‬ ‭of complex reaction mechanisms” (Dr. Lukas Grajciar)‬
  • Computational discovery of 2D high-temperature spintronic materials.” (Dr.‬ ‭Junjie He)‬
  • Real time ab initio study of ultrafast carrier dynamics and energy transfer in‬ ‭photocatalytic materials” (Dr.‬ ‭Junjie He)‬
  • Time-dependent first principle study of laser induced spin, orbital and lattice‬ ‭dynamics in 2D magnetic materials” (Dr.‬ ‭Junjie He)‬

Selected Publications

M. Sipka, A. Erlebach, and L. Grajciar,
Constructing Collective Variables Using Invariant Learned Representations
Journal of Chemical Theory and Computation (PMID: 36696574), 19(3), 2023

DOI, BibTeX

Z. Zhou, J. He, T. Frauenheim, O. V. Prezhdo, and J. Wang,
Control of Hot Carrier Cooling in Lead Halide Perovskites by Point Defects
Journal of the American Chemical Society (PMID: 36125494), 144(39), 2022

DOI, BibTeX