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Stay informed with our latest news and announcements on this page. For more in-depth content, we also encourage visitors to explore our bimonthly STRUCTURES Newsletter magazine, which features a variety of articles, interviews with members, and background information on our latest research and activities.

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Junior Researcher Workshop on Stochastic Partial Differential Equations

Photo of the Mathematikon Building
The workshop will take place at the Mathematikon building on the Neuenheimer Feld campus in Hei­del­berg.

We are happy to announce the workshop “Pathways into Mathematics of SPDEs”, taking place from Monday, March 9, 2026 to Wednesday,  March 11, 2026 in Hei­del­berg. The workshop is a joint initiative by doctoral students from Karlsruhe's KCDS and Hei­del­berg's HGS MathComp. Its aim is to provide early-career researchers with a smooth introduction to this highly relevant topic.

Stochastic partial differential equations (SPDEs) are a notoriously challenging topic in combining advanced theory of both partial differential equations and stochastic processes. However, it is due to this sophisticated combination of both concepts that they emerge as a powerful and versatile tool for modelling highly diverse phenomena in the sciences. While incredibly useful to describe these systems, utilising them jointly with data and measurements to accurately determine characteristics or provide reliable predictions is still very much a work in progress in (applied) mathematics. 

A central challenge, especially for junior researchers with an interest in the field, is that there is a major gap to overcome from available lecture materials, graduate courses and books to current problems and challenges in applied mathematics for SPDEs. The workshop aims to support doctoral students in closing this gap, growing a network of junior researchers and fostering interdisciplinary collaboration.

Registration is open until February 15 via the following link:
https://ssp.math.uni-heidelberg.de/WS_SPDEs_2026/Registration/reg.html

Please note: If you miss the deadline but have a strong interest in the workshop, you are welcome to contact the organizers – late inquiries may still be considered depending on availability.

The workshop is hosted by the re­search group of Prof. Claudia Strauch, and organized by Timo Dörzbach, Louise Kluge, Josef Martínek, Hans Reimann and Maximilian Siebel. The STRUC­TURES Cluster of Excellence is proud to support this workshop. 

Further information:

4EU+ Course on Quan­tum Information and Quan­tum Many-Body Theory

Course title image
The second quan­tum revolution refers to the present shift from observing quan­tum effects to actively engineering and controlling them for technology. 
(Image credit: AdobeStock/"Dave")

We are happy to announce the upcoming 4EU+ Master-level course “Quan­tum Information and Quan­tum Many-Body Theory”, running from 26 February to 19 June 2026. The course is offered within the framework of the 4EU+ Eu­ro­pean Uni­ver­si­ty Alliance and jointly delivered by Uni­ver­si­ty of Warsaw, Uni­ver­si­ty of Milan, Uni­ver­si­ty of Geneva, Hei­del­berg Uni­ver­si­ty, Sorbonne Uni­ver­si­ty, and Charles Uni­ver­si­ty.

Responding to the second quan­tum revolution – the move towards direct control and engineering of quan­tum systems – this course equips students with a strong theo­re­ti­cal foundation in quan­tum information and many-body theory. Participants will explore key concepts such as entanglement, non-locality and quan­tum spin systems – gaining insight into the latest developments in those fields. These foundations are essential for emerging quan­tum technologies, including quan­tum information processing. Furthermore, the course will help the participants to develop competencies to engage in self-organized cross-university and interdisciplinary collaborations via online groupwork as well as to give and receive peer-feedback on results.

The course consists of online lectures and a summer masterclass at Sorbonne Uni­ver­si­ty.

Registration is open until 19 February, 2026

The 4EU+ Eu­ro­pean Uni­ver­si­ty Alliance brings together eight comprehensive, research-intensive public universities from four regions of Europe, working collaboratively to strengthen education, research, and innovation through integrated cross-border programmes. The vision is to establish a truly integrated Eu­ro­pean uni­ver­si­ty system, marked by a new quality of cooperation in education, research, innovation and outreach.

Further information:

Forum Wissen Award 2025 for Astrid Eichhorn

Picture of Astrid Eichhorn
Prof. Astrid Eichhorn (Picture © Martin Liebetruth)

We are delighted to congratulate our member Prof. Dr Astrid Eichhorn, Pro­fes­sor of Theo­re­ti­cal Physics at Hei­del­berg Uni­ver­si­ty, on having been awarded the 2025 Forum Wissen Award by the Forum Wissen Association. The prize honours researchers who have made exceptional contributions to science communication as well as innovative teaching and outreach concepts. The award ceremony took place on 13 November 2025. 

The jury highlighted Prof. Eichhorn’s significant commitment to making science accessible to a broad public. In particular, they praised her efforts to break down stereotypes about scientific careers and to encourage young people to pursue their own paths in science. A key element of this commitment is her role as co-initiator of the children’s and youth book project “Young Scientists,” developed within the framework of the Young Academy. The book presents personal stories and career paths of researchers from a wide range of disciplines, offering authentic insights into scientific life and helping to break down stereotypes – especially encouraging girls to pursue their own paths in science.

Beyond this project, Astrid Eichhorn has been actively involved in initiatives focusing on science communication, diversity in academia and the structural development of the re­search system during her time as a member of the Young Academy. Her work exemplifies a form of science that actively engages with society and promotes dialogue beyond the academic community.

Further information:

Bridging Worlds of Quan­tum Matter: STRUC­TURES Researchers Solve Longstanding Quasiparticle Puzzle

Illustration of the transition from a static impurity (top) that disrupts its environment completely, to a mobile impurity (bottom) whose motion restores order through the emergence of a quasiparticle. (Image generated with AI assistance).

A new theory developed in Hei­del­berg connects the Anderson orthogonality catastrophe for static impurities with the quasiparticle picture of mobile impurities.

When a single particle moves inside a sea of many others, their mutual interactions can give rise to new collective behaviours, such as the formation of so-called quasiparticles. These emergent forms of matter display properties of individual particles even though they arise from the coordinated motion of many particles, acting together as if they were a single one. An important example is the Fermi polaron, which forms when an impurity is introduced into a sea of fermions – particles such as electrons that obey what is known as Pauli exclusion principle. Like a pebble dropped into calm water, the impurity perturbs its surrounding, forming a particle-like pattern: the polaron. These polarons serve as a cornerstone for understanding novel quan­tum materials and ultracold atomic gases.

For years, however, physicists have faced a fundamental puzzle about the formation of Fermi polarons: how can their familiar quasiparticle nature coexist with a phenomenon known as the Anderson orthogonality catastrophe? The latter is a theo­re­ti­cal prediction stating that if the impurity is made so heavy that it becomes effectively immobile, it should instead completely disrupt its environment.

A new study by Xin Chen, Eugen Dizer, Emilio Ramos Rodríguez, and Richard Schmidt – three of whom are members of STRUC­TURES – resolved this long-standing question. The researchers developed a unified theory that smoothly connects the two seemingly contradictory regimes. The key insight lies in the impurity's unavoidable response to changes in the environment, which softens the disturbance it causes. In particular, when the surrounding medium adjusts, an impurity with finite mass cannot remain at rest: even if its net momentum is zero, it must recoil as the medium reorganizes. This creates what physicists refer to as an “energy gap” – a small energy cost for disturbing the medium. As a result of this gap, the impurity and its neighbouring particles can develop a smooth, coordinated motion, forming a well-defined quasiparticle. In contrast, if the impurity becomes heavier, it can respond less to its surrounding, and the medium reacts more strongly – until, in the extreme limit of an immobile impurity, the quasiparticle nature ultimately breaks down. 

This mechanism explains how quasiparticles emerge from an otherwise “gapless” medium and reveals the microscopic origin of the observed transition between polarons and molecules. The new theory provides a simple yet powerful description of interacting quan­tum systems, with broad implications for ultracold-atom experiments, novel atomically thin semiconductors, and future studies of strongly correlated matter.

The new study has been published in the Physical Review Letters.

Further information:

Les Houches Summer School 2026: Quan­tum Theory on All Scales

Poster
The 2026 summer school “Quan­tum Theory on All Scales” takes place in the idyllic location of Les Houches.
 
Photo of a lecture
Les Houches Schools bring together doctoral and postdoctoral researchers from all over the world. The 2026 summer school furthermore transcends boundaries of disciplines with its focus on mathematical physics. (Image credit: Les Houches Schools)

We are pleased to announce the 2026 Les Houches Summer School on Quan­tum Theory on All Scales, taking place August 03-28, 2026 in the idyllic location of Les Houches in the French Alps. The school, which is supported by STRUC­TURES, aims to highlight recent significant progress on the mathematical analysis of complex quan­tum systems, and to discuss interesting open questions for the future. Six lectures, along with numerous short courses and talks, will focus on interacting and correlated systems, as well as random systems – with methods drawn from analysis and probability to algebra and topology. 

The main topics of the school will be:

  • Topological Quan­tum Matter
  • Open Quan­tum Systems
  • Integral Representations for Quan­tum Theory and the Renormalization Group
  • Quan­tum Physics and Randomness
  • Macroscopic Quan­tum Systems: Beyond Mean-Field Descriptions
  • Entanglement, Entropy and Spacetime

The last Les Houches school with this focus took place in 2010 under the title Quan­tum theory from small to large scales. It brought together many of the best doctoral students and postdoctoral researchers in the field and from all over the world and gave them a perspective beyond their specific thesis and re­search work. It further led to lasting re­search connections, friendships and a sense of community. Many of those that attended the 2010 school as PhD students and postdoctoral fellows have since been appointed as faculty at major re­search universities.

The summer school is organized by Sven Bachmann (University of British Columbia, Canada), Serena Cenatiempo (Gran Sasso Science Institute, L’Aquila, Italy), Alain Joye (Université Grenoble Alpes, Institut Fourier, France) and Manfred Salmhofer ( STRUC­TURES, Universität Hei­del­berg, Germany).

Les Houches School of Physics is proud to have been welcoming physicists from around the world since 1951. Founded by French physicist Cécile DeWitt-Morette, the school has trained generations of early-career researchers, some of whom have since won Nobel prizes.

Application is open until December 8, 2025.

Further information:

GTML 2025: Connecting Geometry, Topology, and Ma­chine Learning

Conference Logo
The GTML 2025 workshop brought together a wide community of researchers for a full week of exchange at the intersection of geometry, topology, and ma­chine learning.

The GTML 2025 workshop brought together a wide community of researchers for a full week of exchange at the intersection of geometry, topology, and ma­chine learning. With overwhelming interest, the event highlighted the growing momentum of this rapidly evolving re­search field.

The Workshop on Geometry, Topology, and Ma­chine Learning (GTML 2025), jointly organized by the Max Planck Institute for Mathematics in the Sciences (Leipzig) and the STRUC­TURES Cluster of Excellence (Heidelberg) took place recently in Leipzig. It marked the first event of this scale to unite the re­search communities of geometry, topology, and ma­chine learning. The workshop attracted 132 participants, with registration reaching full capacity within only two weeks – a clear evidence of the strong interest within the scientific community.

GTML 2025 provided a unique platform for researchers to explore the fundamental role of geometric and topological methods in understanding data structures and developing rigorous frameworks for ma­chine learning. The workshop format fostered deep scientific exchange and created valuable opportunities to identify new connections and build bridges between traditionally separate fields.

The scientific programme featured 10 keynote lectures and 20 expert presentations from leading researchers worldwide. A number of renowned speakers contributed to the programme, including industry experts Hartmut Maennel (DeepMind), Robert Lilow (Deepshore), and Vincent Stimper (Isomorphic Labs). Short papers will be published as a special edition of the PMLR (Proceedings of Ma­chine Learning Research) series, ensuring continued visibility of the scientific contributions beyond the event itself.

A special highlight of the workshop were the Lightning Sessions, designed specifically for early-career researchers. These rapid-format presentations created a dynamic space for young scientists to share ideas, showcase ongoing work, and expand their professional networks.

The programme covered a broad spectrum of topics, including Mathematical foundations of ma­chine learning, geometric ma­chine learning (geometric deep learning, graph neural networks, geometry processing), topological ma­chine learning (topological deep learning, TDA, shape analysis), and applications in the life sciences and complex systems.

Please visit the conference website for detailed information on the scientific topics.

With its strong scientific programme, interdisciplinary focus, and outstanding level of engagement, GTML 2025 has set a promising precedent for future meetings at the intersection of geometry, topology, and ma­chine learning.

Further information:

Scientific Ma­chine Learning Event “Ma­chine Learning Galore!” on November 13, 2025

Announcement poster
Announcement poster (Click on the image to download the PDF)

We are delighted to announce the next event in our Ma­chine Learning Galore! series, focusing on Scientific Ma­chine Learning, which will take place on Thursday, November 13, from 4:30 to 6:00 pm at INF 205 Mathematikon (5th floor). The event features lab presentations by principal investigators, followed by brief presentations from junior scientists showcasing their latest work. Extended discussions will offer ample opportunity for in-depth exchanges.

Event Details:

  • Lab presentations: 
    • Lukas Balles
    • Jürgen Hesser
    • Wolfgang Huber
  • Science Talks:
    • Constantin Ahlmann-Eltze (Huber lab): ML in Single Cell and Spatial Omics for Tissue Biology and Biomedical Research
    • Pit Neitemeier (Balles lab): Learnt splitting and the influence of compression ratios in end-to-end hierarchical language modeling
    • Marcus Buchwald (Hesser lab): Reaching for Causal Image Generation using deep conditioning

Registration is free but required via the ML-AI portal:
https://www.mlai.uni-heidelberg.de/en/machine-learning-talks-on-campus

About Scientific Ma­chine Learning
Scientific Ma­chine Learning is a collaborative initiative by the Interdisciplinary Center for Scientific Computing (IWR) and the STRUC­TURES Cluster of Excellence. Its mission is to foster interaction and exchange within the local ma­chine learning community, and to support its development by consolidating activities and resources that might otherwise remain scattered across individual institutions or disciplines. The initiative aligns closely with the objectives of STRUC­TURES, which aims to advance fundamental research, and with IWR’s focus on applying ma­chine learning to address long-standing challenges in the natural and life sciences, engineering, and the humanities.

Further information:


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