Newsroom

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.

Page 1 of 44

Scientific Ma­chine Learning Event “Ma­chine Learning Galore!” on November 11, 2026

Poster
Click on the image to open the poster as PDF.
 
Event photo
The Ma­chine Learning Galore! event fosters interaction and exchange between scientists working on scientific ma­chine learning.

We are delighted to announce the next event in our Ma­chine Learning Galore! series, focusing on Scientific Ma­chine Learning, which will take place on Wednesday, November 11, from 16:30 to 18:00 h at INF 205 Mathematikon (5th floor). The event will feature talks, lab presentations and discussion:

Lab presentations:

  • Lena Maier-Hein
  • Claudia Strauch
  • Alexander Zipf          

Rocket science:

  • Leon Mayer (Maier-Hein Lab): How Naturally Adversarial Medical Images Challenge Vision-Language Models
  • Marta Gentiloni Silveri (Strauch Lab): How Reliably Can Generative Models Reconstruct Data from Pure Noise?
  • Gefei Kong (Zipf Lab): From bird's eyes to human eyes: mapping street-view greenness by DL model from satellite imagery and geo foundation embeddings 

Registration is free but required via the ML-AI portal – please register until November 9th:
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:

STRUC­TURES Office Welcomes Sara Konrad as New Managing Co-Director

Photo of Sara Konrad
Dr. Sara Konrad
 
Christine Menn
Christine Menn

We are pleased to announce that, as of first October, the management of STRUC­TURES is shared by Chris­tine Menn and Sara Konrad, who jointly lead the STRUC­TURES Project Management Office.

The STRUC­TURES Project Management Office supports the cluster's members in realizing their re­search projects and in their day-to-day work, coordinating finances, reporting, events and programmes as well as outreach. As managing directors, Christine Menn and Sara Konrad lead the office's team and work closely with the cluster's spokespersons and the steering committee. They are responsible for budget planning and personnel matters, and they steer the cluster's programmes, from the STRUC­TURES College with its international guest and travel programmes to early-career support and measures for diversity and family-friendliness, such as the Parent-Child Offices. They coordinate the meetings of the cluster's bodies as well as the STRUC­TURES Jour Fixe, and oversee reporting to the DFG and Hei­del­berg Uni­ver­si­ty. Together, they are the first point of contact for all members of STRUC­TURES, including in confidential matters, and coordinate the cluster's cooperation with its partner institutions and the uni­ver­si­ty administration.

Dr. Sara Konrad joins STRUC­TURES from the Institute for Theo­re­ti­cal Physics (ITP) at Hei­del­berg Uni­ver­si­ty. During her PhD  in cosmological structure formation, she participated in the planning phase of STRUC­TURES and continued as a postdoctoral researcher and member of STRUCTURES' Young Researchers Convent (YRC). She already knows the office well: alongside her research, she previously worked as a Managing Scien­tist in the STRUC­TURES office, taking care of the website development, supporting the YRC's networking, the mentoring and the STRUC­TURES College programmes. She has also been a member of the STRUC­TURES Outreach Committee since 2022. Having experienced the cluster from both sides, as a researcher and as a member of the administration, she brings a first-hand understanding of what scientists need to do their best work. 

"My mission is to support all our members in doing excellent re­search by creating the conditions in which they can thrive, collaborate and pursue their ideas with enthusiasm. And I want them to know: I've got their backs," says Sara Konrad.

Christine Menn, Managing Director since the beginning of 2026, has been part of the Project Management Office since the start of the cluster. She has thus helped shape the office from its very beginnings and was closely involved in coordinating the STRUC­TURES College's guest, travel and mentoring programmes, as well as its events such as the Jour Fixe. Christine Menn has worked in re­search management for many years: before joining STRUC­TURES, she was part of the management office of CellNetworks, a former Cluster of Excellence at Hei­del­berg Uni­ver­si­ty in the life sciences.

We warmly welcome Sara Konrad to the management team!

Further information:

Noise Is More Than a Nuisance: Spike-Timing Differences Solve the Weight Transport Problem in Neural Networks

Image of a neural network with two circles marking synapses, on top of an image showing a neuromorphic chip.
Reciprocally connected neurons embedded in a recurrent neural network. The circles mark two synapses. Background photo: neuromorphic chip BrainScaleS-2 (Eric Müller, CC-BY-ND 4.0). Adapted from Fig. 2 of Gierlich et al. 2026 (CC-BY 4.0). 

An international team of researchers involving STRUC­TURES external member Mihai Petrovici and group members at the Kirchhoff Institute for Physics has proposed a new solution to the so-called weight transport problem, a longstanding challenge for models of deep learning in physical neuronal networks. Their solution relies only on biologically plausible, local mechanisms.

Modern AI often relies on the error backpropagation algorithm, which learns by adjusting weights, i.e. strengths of connections between artificial neurons. However, this algorithm makes an assumption that is difficult to reconcile with how real brains work: information travelling forward (sensory representations) and backward (response errors) in the network must take the same path, i.e. pass through the same connections with the same weights. In contrast, the connections between biological neurons are one-way, meaning the forward and backward signals need to travel through separate pathways that would need to have the same connection strengths. However, synapses obey locality: they can only sense what happens at their own location. There is no known mechanism for one synapse to “read off” the exact strength of another, distant one. This is the weight transport problem.

Neuromorphic computer chips, which mimic neurons and synapses directly in hardware for more energy-efficient computations, face the same obstacle. 

In a new study published in Nature Communications, an international team of researchers involving STRUC­TURES external member Mihai Petrovici and YRC member Andreas Baumbach introduces Spike-based Alignment Learning (SAL) – a framework that solves the weight transport problem without any need to copy connection information across the network. The authors instead propose spike-timing differences as an explanation: as two connected neurons fire, tiny, naturally occurring delays between their firings carry a subtle signal about how mismatched their forward and backward connections are. By tracking these delays, each connection can gradually correct itself using only local information, keeping the forward and backward pathways in sync. What makes this work is the irregular timing of neuron firing. Without this background noise contribution, single synapses might be too weak to make the receiving neuron fire, whereas strong ones would saturate the response. The team tested their model across several brain-inspired network types and found SAL to greatly enhance the performance of spiking networks for different tasks while avoiding non-local information exchange; compared to previously proposed local weight transport mechanisms, SAL used a much simpler learning rule to greater effect, restoring symmetry across a wide range of synaptic weights.

This result was obtained as part of STRUCTURES' Comprehensive Project CP 5: Quan­tum Systems and Neural Networks.

Further information:

Scientific Exchange Across Borders: A Re­search Visit in the Context of Sino-German Exchange

Group photo
The event took place at “Oberstübchen”, the venue for scientific events in the framework of STRUC­TURES College.
 
Talk photo
Interdisciplinary scientific talks gave an overview of re­search pursued at STRUCTURES.

In June 2026, the STRUC­TURES Cluster of Excellence welcomed a group of 40 early-career researchers from China for a morning of scientific exchange, discussion, and first-hand insights into life as an early-career researcher in Hei­del­berg. The visit was part of a delegation programme to leading German re­search institutions organized by the Sino-German Center for Re­search Promotion (CDZ) in cooperation with the German Re­search Foundation (DFG) and the Lindau Nobel Laureate Meetings Foundation.

Through a series of presentations, discussions, and two guided lab tours, the visitors learned about the wide range of scientific questions addressed within the STRUC­TURES Cluster of Excellence. The programme also offered a more personal perspective on what it is like to work as an early-career researcher in such an interdisciplinary re­search environment. Informal conversations over coffee and snacks provided further opportunities to exchange experiences, discuss re­search interests, and learn more about possible career opportunities or collaboration partners. The morning concluded with parallel visits to the Synthetic Quan­tum Systems group, and to the Eu­ro­pean Institute for Neuromorphic Computing.

The visitors showed particular interest in the interdisciplinary approach that lies at the heart of STRUCTURES. Coming from a variety of academic backgrounds, they engaged in a lively exchange of ideas and questions. For both guests and hosts, the visit was an opportunity not only to talk about science, but also to exchange perspectives, share experiences and form new connections – reflecting the international and interdisciplinary spirit of STRUCTURES.

Further information:

New Theory for Coexistence and Selection of Cellular Structures

Photo of an actin network growing
Artistic illustration of an actin network growing from the surface of a bead in a biomimetic assay. (Based on Fig. 2 of Wössner et al. (2026), adapted by S. Stapelberg. CC-BY 4.0)

Biological cells are the smallest living units of an organism. To maintain their shape, divide, and move, they rely on the cytoskeleton, which is made from biopolymers like actin. Actin assembles into filaments and larger networks, which constantly undergo renewal, as monomers are added, removed, and re-used elsewhere. This dynamic behaviour allows the cell to rapidly adapt to changing environmental conditions. At the same time, this poses a problem: the different actin structures compete for a shared limited pool of free actin monomers. If one structure consumes more, less remains for the others, causing them to shrink, as they lose actin faster than they can replace it. Yet, one observes that multiple distinct structures can coexist at stable sizes. This raises the question of which mechanism prevents single structures from monopolizing the shared pool.

In a new study, STRUC­TURES scientists Valentin Wössner, Falko Ziebert and Ulrich Schwarz have made substantial progress in solving this puzzle. They developed a theory for coexistence and selection of branched actin networks – going beyond earlier models that had focused mainly on single filaments and bundles. Using ordinary differential equations (ODEs) and bifurcation analysis, their framework shows how local depletion of actin can provide a natural self-regulating mechanism: as a dense network grows, it uses up the free actin at its leading edge, slowing its own further growth. When competition becomes too strong, coexistence gets replaced by selection. The new theory bridges so-called limited pool models and the growth physics of branched actin networks.

Methodological exchange between the disciplines of biophysics and scientific computing proved crucial for validating this result. In addition to analytical modelling, the researchers solved partial differential equations (PDEs) describing the spatial distribution of actin to confirm their predictions in greater detail for selected cases. These simulations were carried out using a module of the numerical software framework DUNE – which has been co-developed by STRUC­TURES member Peter Bastian. The close agreement found between both approaches supports the ODE model as an effective description of the dynamics.

Further information:

Valentin Wössner is a doctoral researcher at the Institute for Theo­re­ti­cal Physics (ITP) and at BioQuant, and a member of the STRUC­TURES Young Researchers Convent (YRC). Ulrich Schwarz is Pro­fes­sor of Theo­re­ti­cal Physics at the Institute for Theo­re­ti­cal Physics (ITP) and BioQuant, and a Principal Investigator in STRUCTURES' Comprehensive Project CP3 (From Molecules to Cells and Tissue). Falko Ziebert is a Privatdozent at the Institute for Theo­re­ti­cal Physics (ITP) and a full member of STRUCTURES. Peter Bastian is a Pro­fes­sor of Scientific Computing at the Interdisciplinary Center for Scientific Computing (IWR) and also a Principal Investigator in CP3 of STRUCTURES.

Weblinks:

Quan­tum Gases of Light Exhibit Critical Scaling Behaviour – Major Re­search Gap in the Physics of Phase Transitions Closed

Photo of the experimental setup
Experimental optical setup for generating a quan­tum gas of light exhibiting "critical behaviour," consisting of a dye-filled optical microresonator. © Leon Kleebank / Uni­ver­si­ty of Bonn 2026

An international team of researchers including STRUC­TURES member Julian Schmitt has studied the critical behaviour of photons close to a phase transition. The researchers have demonstrated the phenomenon of critical scaling behaviour in a quan­tum gas of photons for the first time. The result has been published in Science Advances.

A team of researchers from the Uni­ver­si­ty of Bonn, Hei­del­berg Uni­ver­si­ty and the National Autonomous Uni­ver­si­ty of Mexico has studied the critical behaviour of light particles (photons) close to a phase transition. This critical scaling behaviour, which sees thermodynamic quantities grow extremely large or diverge near phase transitions, had never before been seen in photon gases until the researchers successfully secured precisely this proof. They measured spatial correlations, i.e. how strongly the state of the light at different positions is related, in a nearly non-interacting 2D photon gas trapped in a mirror box just before the Bose-Einstein condensation phase transition. From this, they determined the critical exponent – a quantity describing how sensitively the spatial extent of these correlations increases as the temperature changes near the phase transition. 

They trapped light particles inside an optical microresonator – a microscopic cavity formed by two closely spaced mirrors – filled with a dye solution. Through processes of absorption and emission as the light particles came into contact with the dye molecules, the photons effectively cooled down (“thermalised”) to a point where the quan­tum phase of condensation began. One of the resonator mirrors had been structured at the nanometre scale beforehand by means of laser writing to create a box-like potential, i.e. a trap for the photons. The angular distribution of the light emitted was then measured with a camera and analyzed via Fourier transform to determine the spatial correlations.

This was the first-ever experiment that demonstrated that photon gases constitute a distinct, overarching universality class of physical systems in nature, meaning that they follow characteristic laws near a phase transition. Much like water, which at the critical point suddenly turns cloudy due to opalescence (i.e. increasingly large density fluctuations scatter light), the photon gas in this case exhibits a rapidly increasing and diverging correlation length with a specific exponent. This re­search finding thus fills a key gap in the physics of phase transitions and has the potential to open up exciting new avenues for basic re­search into systems that lie well outside thermal equilibrium as well as for future applications in optics.

The team consists of researchers from the Institute of Applied Physics at the Uni­ver­si­ty of Bonn (Leon Kleebank, Frank Vewinger, Martin Weitz), the Kirchhoff Institute for Physics at Hei­del­berg Uni­ver­si­ty (Julian Schmitt) and the Physics Institute at the National Autonomous Uni­ver­si­ty of Mexico (Arturo Camacho-Guardian, Victor Romero-Rochín, Rosario Paredes). The project was led by Pro­fes­sor Julian Schmitt (Heidelberg). 

This text was adapted from the original press release by the Uni­ver­si­ty of Bonn.

Further information:

Otto Haxel Dissertation Award for STRUC­TURES YRC members Klaus Paschek and Nikolas Liebster

Photo of the awardees Nikolas Liebster (Heidelberg), Lea Reuter (Karlsruhe) and Klaus Paschek (Heidelberg)
Photo of the prize winners, from left to right: Nikolas Liebster (Heidelberg), Lea Reuter (Karlsruhe) and Klaus Paschek (Heidelberg). Image  © KIT

We congratulate YRC STRUC­TURES member Klaus Paschek and YRC alumnus Nikolas Liebster on receiving this year's Otto Haxel Award for Physics. The annual dissertation prize has been awarded by the KIT Freundeskreis und Fördergesellschaft e.V. (KFG) of the Karlsruhe Institute of Technology (KIT) in co­operation with the German Physical Society (DPG) since 2017. It honours the three best doctoral dissertations at KIT and at the universities of Göttingen and Hei­del­berg — the three institutions where nuclear physicist Otto Haxel (1909–1998) conducted his research. 

Dr. Liebster received the award for his dissertation on Pattern Formation and Supersolid Sound Modes in a Driven Superfluid, completed in the re­search group of Markus Oberthaler at the Kirchhoff Institute for Physics (KIP) of Hei­del­berg Uni­ver­si­ty. His re­search focuses on quan­tum systems far from equilibrium, where novel steady states can emerge that have different properties from the same system at equilibrium. In certain cases, theo­re­ti­cal frameworks from equilibrium physics can be applied to understand their behaviour. In his thesis, Nikolas Liebster studied the emergence of such a steady state far from equilibrium, specifically in a Bose-Einstein condensate with periodically modulated interactions. The modulation results in the emergence of self-organized lattice structures, effectively crystallizing the system. Dr. Liebster showed that this far-from-equilibrium state has the properties of a supersolid, a strange state of quan­tum matter that is simultaneously solid and superfluid.  This work provides new insights into pattern formation and the nonlinear dynamics of quan­tum fluids.

Dr. Paschek received the award for his dissertation From Space to the Hadean Earth: Prebiotic Synthesis and the Origins of Life, completed in the laboratory astrophysics group led by Thomas Henning at the Max Planck Institute for Astronomy (MPIA). In his thesis, he investigated how the first building blocks of life may have arisen on the early Earth several billion years ago. Organic molecules and their precursors could have been brought to Earth by meteorites, whose impacts back then were far more frequent – or they could have formed on Earth itself in what are known as “Darwin’s warm little ponds”. These are  shallow, warm bodies of water, in which compounds produced from volcanically released gases and atmospheric photochemistry could have accumulated and undergone further prebiotic reactions. In his thesis, Dr. Paschek showed that both scenarios can provide viable pathways toward the formation of RNA building blocks and other prebiotic molecules under plausible early-Earth conditions. In particular, his work shows that a previously problematic aspect of the terrestrial scenario – an early atmosphere thought to be too oxidizing for efficient prebiotic chemistry – could have been overcome by geological processes such as serpentinization, while also providing a quantitative explanation for how key prebiotic molecules could form in carbonaceous meteorite parent bodies before being delivered to Earth.

The award ceremony took place on July 13, 2026, at the KFG summer reception on the KIT South Campus in Karlsruhe. The Otto Haxel Award was established by Hans Joachim Langmann in memory of his doctoral advisor.

Further information:


STRUCTURES Contact

STRUCTURES Project Management Office
Philosophenweg 12
D-69120 Heidelberg

STRUCTURES Project Management Office
Im Neuenheimer Feld 225a
D-69120 Heidelberg

+49 (0) 6221-54 9186

office@structures.uni-heidelberg.de

Press & Media: news@structures.uni-heidelberg.de

Connect With STRUCTURES on Social Media