Summer School

Modern ML
in Chemistry

From (foundational) interatomic potentials to generative AI

August 3–5, 2026
Leipzig University, Germany

Funded by COST Action DAEMON

About the Summer School

This three-day summer school brings together researchers and practitioners to explore both foundational and emerging applications of machine learning across chemistry and materials science. It is aimed at PhD students, postdocs, and early-career researchers in computational chemistry, materials science, and related fields. The program is built around four core sessions, each pairing a lecture with a hands-on tutorial:

(Foundational) Interatomic Machine Learning Potentials: MACE and Beyond

Equivariant architectures, foundational models, and fine-tuning strategies for accurate and scalable molecular simulations.

Beyond the Ground State: Machine Learning for Photochemistry

Machine learning approaches for excited states, photodynamics, and nonadiabatic processes.

Machine Learning for Extended Systems: QM(ML)/MM

Hybrid quantum mechanics/molecular mechanics methods enhanced by machine learning for large-scale, condensed-phase, and biological systems.

Machine Learning for Molecular Material Design: Generative Modeling

Generative AI for the inverse design of molecules and materials with targeted properties.

In addition, on the final day, we will host a series of lightning talks and a career round table with leaders from industry and academia who will share insights from academia and beyond, followed by a dedicated Q&A session.

Confirmed Speakers

More speakers will be announced soon.

Prof. Dr. Chris Oostenbrink

Prof. Dr. Chris Oostenbrink

(Professor of Molecular Modeling and Simulation, BOKU University, Vienna)

Machine Learning for Extended Systems: QM(ML)/MM

Holger Wetzler

Holger Wetzler

(CEO, Bell Flavors & Fragrances)

Career Round Table

Prof. Dr. Leonie Weissweiler

Prof. Dr. Leonie Weissweiler

(Professor of Natural Language Processing, Leipzig University / ScaDS.AI)

Career Round Table

Prof. Dr. Julia Westermayr

Prof. Dr. Julia Westermayr

(Professor of AI in Theoretical Chemistry, Leipzig University)

Beyond the Ground State: Machine Learning for Photochemistry

Daniel Zügner

Daniel Zügner

(Senior Researcher, Microsoft Research, Berlin)

Career Round Table

Dr. Niklas Gebauer

Dr. Niklas Gebauer

(Machine Learning Group, TU Berlin and BIFOLD)

Machine Learning for Molecular Material Design: Generative Modeling

Ilyes Batatia

(Csányi Group, Department of Engineering, University of Cambridge)

(Foundational) Interatomic Machine Learning Potentials: MACE and Beyond

Program

The summer school is structured around four core sessions, each pairing a lecture with a hands-on tutorial. The final day adds lightning talks, a career round table, and a dedicated Q&A session. The detailed schedule will be announced closer to the event.

(Foundational) Interatomic Machine Learning Potentials: MACE and Beyond Lecture + Tutorial
Beyond the Ground State: Machine Learning for Photochemistry Lecture + Tutorial
Machine Learning for Extended Systems: QM(ML)/MM Lecture + Tutorial
Machine Learning for Molecular Material Design: Generative Modeling Lecture + Tutorial
Lightning Talks Final day — short contributed presentations
Career Round Table Leaders from industry and academia sharing insights from academia and beyond
Q&A Session Open discussion with speakers and panellists
Poster Session Participant Contributions — submission details will follow
Social Dinner Tuesday evening

Venue & Travel

Faculty of Chemistry, Leipzig University

Johannisallee 29, 04103 Leipzig, Germany

The summer school will be held at the Faculty of Chemistry, Leipzig University. Exact room details will be announced closer to the event.

Getting to Leipzig

  • By air: Leipzig/Halle Airport (LEJ), with connections to major European hubs.
  • By train: Leipzig Hauptbahnhof is well-connected via Deutsche Bahn ICE/IC services.
  • Arrival: Most participants arrive on Sunday, August 2.

Accommodation recommendations will be shared soon.

Registration

Now Open

The summer school has a capacity of approximately 40–45 participants. Please register via the form below.

A limited number of travel grants for travel and accommodation is available through COST Action DAEMON. Allocation is not guaranteed and is decided by the organizing committee.

Optional add-on — the social dinner (€30) — is paid during the on-site registration.

Register now

Personal data is processed in line with the GDPR. Details are shown at the top of the registration form.