4th SIMPLAIX Workshop on “Machine Learning for Multiscale Molecular Modeling”

May 06 2026

 

The Fourth SIMPLAIX Workshop on “Machine Learning for Multiscale Molecular Modeling” is again jointly organized by SIMPLAIX and the RTG 2450 and will take place in the Studio Villa Bosch in Heidelberg on 6 - 8 May 2026.

Date / Time
Venue
Heidelberg, Villa Bosch
SIMPLAIX Workshop 2024
Participants of the SIMPLAIX Workshop 2024 at Studio Villa Bosch in Heidelberg (c)SIMPLAIX

The first three SIMPLAIX workshops took place in May 2023, 2024 and 2025. Similarly, the aim of this fourth workshop is to bring together scientists working in this vibrant field to share their research and discuss current challenges in an informal atmosphere.

More information on https://simplaix-workshop2026.h-its.org/

Confirmed speakers:

  • Ilyes Batatia, University of Cambridge, UK
  • Patrick Bryant, Science for Life Laboratory, Stockholm University, Sweden
  • Bingqing Cheng, College of Chemistry, UC Berkeley, USA
  • Qiang Cui, Department of Chemistry, Boston University, USA
  • Fernanda Duarte, Department of Chemistry, University of Oxford, UK
  • Luca Ghiringhelli, Scientific Computing Center, Karlsruhe Institute of Technology, Germany
  • Yair Litmann, Max Planck Institute for Polymer Research, Mainz, Germany
  • Pratyush Tiwary, Department of Chemistry & Biochemistry, University of Maryland, USA
  • Alexandre Tkatchenko, Department of Physics & Materials Science, University of Luxembourg
  • Alexander Tong, AITHYRA Research Institute for Biomedical Artificial Intelligence, Vienna, Austria

 

Registration

Register here

Venue

Studio Villa Bosch Heidelberg, Schloss-Wolfsbrunnenweg 33, 69118 Heidelberg

Travel

https://tinyurl.com/2uvfjbtc 

Contact

+49 6221 533 329

events@h-its.org

SIMPLAIX is a cooperation between the Heidelberg Institute for Theoretical Studies (HITS), the Karlsruhe Institute of Technology (KIT) and Heidelberg University, focussed on bridging scales from (bio)molecules to molecular materials by multiscale simulation and machine learning (www.simplaix.org). RTG 2450 is a DFG-funded research graduate school at KIT on “Tailored Scale-Bridging Approaches to Computational Nanoscience” (https://www.compnano.kit.edu/index.php).

BLUESKY  #SIMPLAIX26