Veranstaltungskalender

 
Workshop

The 2nd SIMPLAIX Workshop on “Machine Learning for Multiscale Molecular Modeling”

Mittwoch, 15. Mai 2024, 0:00-0:00
Studio Villa Bosch in Heidelberg

The 2nd SIMPLAIX Workshop on “Machine Learning for Multiscale Molecular Modeling” will take place in the Studio Villa Bosch in Heidelberg on 15-17 May 2024.

The registration is now open: https://simplaix-workshop2024.h-its.org/.

 

We have a great line-up of confirmed invited speakers. Please register fast to participate and to submit abstracts for contributed talks or posters by 15 April 2024. We have limits on the number of participants due to room size so please pass the information on to your colleagues and ask them to register promptly.

 

We look forward to seeing you at the 2nd SIMPLAIX Workshop on “Machine Learning for Multiscale Molecular Modeling.”  The Organizing Committee: Rebecca Wade (HITS), Marcus Elstner (KIT), Pascal Friederich (KIT), David Hoffmann (KIT), Rostislav Fedorov (HITS), Daniel Sucerquia (HITS).

 

SIMPLAIX is a cooperation between the Heidelberg Institute for Theoretical Studies (HITS), the Karlsruhe Institute of Technology (KIT) and Heidelberg University, focused on bridging scales from 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).

 

The second SIMPLAIX Workshop on “Machine Learning for Multiscale Molecular Modeling” is jointly organized by SIMPLAIX and the RTG 2450. The aim of the workshop is to bring together scientists working in the field to share their research and discuss current challenges.

 

Veranstalter
Heidelberger Institut für Theoretische Studien (HITS)
Schloss-Wolfsbrunnenweg 35
69118 Heidelberg
Tel: +49 (0)6221 533 - 329
E-Mail: events does-not-exist.h-its org
https://www.h-its.org/
Zielgruppe
Alle
Anmeldung
Die Anmeldung erfolgt über folgenden Link.
Online-Anmeldung