Where condensed matter physics meets machine intelligence.
SLAM-CMP 2027 (School on Machine Learning and Artificial Intelligence for Many-body and Condensed Matter Physics 2027) is a seven-day (22-28 March) residential school bringing together lattices and neural networks, condensed matter physicists and machine-learning practitioners, Germany and Cameroon.
A school built as a bridge, not a syllabus
SLAM-CMP 2027 — the School on Machine Learning and Artificial Intelligence for Many-body and Condensed Matter Physics — gathers advanced students and researchers at the University of Dschang for a week of lectures, hands-on labs, poster sessions and mentoring, moving from the foundations of quantum many-body physics through to neural quantum states, transformers, and physics-informed learning.
The school is organized under the Max Planck Society's "Bridging Minds" program, part of the Max Planck Africa initiative, connecting the Max Planck Institute for the Science of Light with the University of Dschang.
On names, photos & materials
Participant names and photographs will be published on the school's GitHub repository. The Max Planck Society may also use these materials for future promotional purposes. No other confidential data will be shared.
Questions about this policy can be directed to the main organizer — contact details are in the footer below.
Organizing committee
The school is run by a joint German–Cameroonian–Canadian team spanning theory, experiment and machine learning.
Direction
On the ground, Dschang
Curriculum & research
Workshop agenda
From foundations to frontiers — select a day to see sessions, speakers and times. All sessions are delivered in English.
Additional information
Two tracks run through the week — a hands-on machine learning track, and a state-of-the-art condensed matter physics lecture track.
Machine learning track
- A Slack workspace will be created for all communication prior to and during the school.
- Lecture materials will be shared by instructors in the Slack workspace ahead of the school — participants are expected to review these in advance.
- Two setup sessions will be organized before the school to help participants configure their computers. Exact dates will be communicated to registered attendees.
- All slides and supplementary materials will be provided to participants — progressively or at the school's conclusion — and uploaded to the school's GitHub repository.
- Lecturers are asked to submit materials to Lavoisier Wah no later than 29 January 2027.
Special track — state-of-the-art CMP lectures
- Speakers are requested to submit the title and abstract of their talk no later than 27 November 2026.
- Participants are encouraged to interrupt speakers at any time with questions, for an interactive, dynamic learning environment.
- All talks present cutting-edge, state-of-the-art research in condensed matter physics.
- Each talk includes roughly 10 minutes of introductory content, with the remainder given to the advanced, colloquium-style presentation.
- Slides must be submitted to Lavoisier Wah no later than the day of the talk, to be uploaded to the school's GitHub repository.
Registration
Open to advanced BSc, MSc and PhD students including early carier researchers. Only 70 participants will be selected.
Present a poster
For participants who would like to present a poster and be considered for the best-poster award (three awards presented on Day 6). Poster sessions run on Days 2 and 3.
Register to present a poster →Attend only
For participants who would like to attend the full school — lectures, hands-on labs, mentoring sessions and the research frontiers talks — without presenting a poster.
Register to attend →Registration deadline: Jan 11, 2027 · See you soon in Cameroon!
Get in touch about registration →📁 All lecture materials, slides & resources will be published on the school's GitHub page .