@article{20328,
  abstract     = {We consider the standard overlap (math formular) of any bi-orthogonal family of left and right eigenvectors of a large random matrix X with centred i.i.d. entries and we prove that it decays as an inverse second power of the distance between the corresponding eigenvalues. This extends similar results for the complex Gaussian ensemble from Bourgade and Dubach [15], as well as Benaych-Georges and Zeitouni [13], to any i.i.d. matrix ensemble in both symmetry classes. As a main tool, we prove a two-resolvent local law for the Hermitisation of X uniformly in the spectrum with optimal decay rate and optimal dependence on the density near the spectral edge.},
  author       = {Cipolloni, Giorgio and Erdös, László and Xu, Yuanyuan},
  issn         = {0022-1236},
  journal      = {Journal of Functional Analysis},
  number       = {1},
  publisher    = {Elsevier},
  title        = {{Optimal decay of eigenvector overlap for non-Hermitian random matrices}},
  doi          = {10.1016/j.jfa.2025.111180},
  volume       = {290},
  year         = {2026},
}

@article{20456,
  abstract     = {Given a locally finite set A⊆Rd and a coloring χ:A→{0,1,…,s}, we introduce the chromatic Delaunay mosaic of χ, which is a Delaunay mosaic in Rs+d that represents how points of different colors mingle. Our main results are bounds on the size of the chromatic Delaunay mosaic, in which we assume that d and s are constants. For example, if A is finite with n=#A, and the coloring is random, then the chromatic Delaunay mosaic has O(n⌈d/2⌉) cells in expectation. In contrast, for Delone sets and Poisson point processes in Rd, the expected number of cells within a closed ball is only a constant times the number of points in this ball. Furthermore, in R2 all colorings of a dense set of n points have chromatic Delaunay mosaics of size O(n). This encourages the use of chromatic Delaunay mosaics in applications.},
  author       = {Biswas, Ranita and Cultrera di Montesano, Sebastiano and Draganov, Ondrej and Edelsbrunner, Herbert and Saghafian, Morteza},
  issn         = {1432-0444},
  journal      = {Discrete and Computational Geometry},
  pages        = {24--47},
  publisher    = {Springer Nature},
  title        = {{On the size of chromatic Delaunay mosaics}},
  doi          = {10.1007/s00454-025-00778-7},
  volume       = {75},
  year         = {2026},
}

@misc{20833,
  abstract     = {Sex-chromosome systems are highly variable across animals, but how they transition from one to another is not well understood. Diptera have undergone multiple sex-chromosome turnovers and expansions while maintaining their general chromosomal content, which makes them an ideal clade to study such transitions. We analysed more than 100 dipteran whole-genome assemblies and identified 4 new lineages that underwent sex-chromosome turnover (in addition to the 5 previously reported). We find the majority of turnovers happened in the group Schizophora, which tend to have fewer genes on the F element (the chromosome homologous to the ancestral insect X chromosome) than lower dipterans, a factor previously hypothesized to facilitate turnover. Most derived X chromosomes have higher GC content than autosomes, consistent with a high prevalence of male-achiasmy in Diptera. In addition, an excess of gene movement out of the X is detected for most of these new X chromosomes, and many of these moved genes have high testis expression in Drosophila, suggesting that out-of-X gene movement contributes to the long-term demasculinization of X chromosomes.},
  author       = {Layana Franco, Lorena Alexandra and Toups, Melissa A and Vicoso, Beatriz},
  keywords     = {Schizophora, sex chromosomes, sex-chromosome turnover, Diptera, genomic features, out-of-X movement.},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Research Data for 'Causes and consequences of sex-chromosome turnovers in Diptera'}},
  doi          = {10.15479/AT-ISTA-20833},
  year         = {2026},
}

@article{21001,
  abstract     = {Copper chalcogenides offer high charge mobility and low lattice thermal conductivity but suffer from structural instability due to dynamic Cu+ migration. Here, we report a colloidal hot-injection synthesis of ternary cesium copper selenide (CsCu5Se3) nanocrystals (NCs), achieving precise control over phase, size, and morphology through tailored precursor-ligand modulation. This strategy enabled systematic exploration of stable and metastable Cs–Cu–Se phases and mechanistic investigation of nucleation and growth, providing insight into phase modulation and dimensional control at the nanoscale. CsCu5Se3 NCs exhibit low lattice thermal conductivity (∼0.5 Wm–1K–1) and an experimental zT of 0.27 at 718 K. Complementary first-principles calculations, consistent with experimental electronic and optical responses, predict a zT of 1.05 at 1000 K. These findings elucidate the formation dynamics of CsCu5Se3 and establish ABZ (A = alkali, B = metal, Z = chalcogen) NCs as tunable platforms for advanced functional applications.},
  author       = {Patil, Niraj Nitish and Wu, Ruiqi and Fiedler, Christine and Kapuria, Nilotpal and Nan, Bingfei and Navita, Navita and Cabot, Andreu and Ibáñez, Maria and Ryan, Kevin M. and Ganose, Alex M. and Singh, Shalini},
  issn         = {2380-8195},
  journal      = {ACS Energy Letters},
  number       = {1},
  pages        = {481--488},
  publisher    = {American Chemical Society},
  title        = {{Layered alkali-copper selenides: Deciphering thermoelectric properties and reaction pathways for nanostructuring β-CsCu5Se3}},
  doi          = {10.1021/acsenergylett.5c02909},
  volume       = {11},
  year         = {2026},
}

@article{21002,
  abstract     = {The Davenport–Heilbronn method is a version of the circle method that was developed for studying Diophantine inequalities in the paper (Davenport and Heilbronn, J. Lond. Math. Soc. (1) 21 (1946), 185–193). We discuss the main ideas in the paper, together with an account of the development of the subject in the intervening 80 years.},
  author       = {Browning, Timothy D},
  issn         = {1469-7750},
  journal      = {Journal of the London Mathematical Society},
  number       = {1},
  publisher    = {Wiley},
  title        = {{The Davenport–Heilbronn method: 80 years on}},
  doi          = {10.1112/jlms.70371},
  volume       = {113},
  year         = {2026},
}

@article{21012,
  abstract     = {In certifiable machine learning, AI systems produce not only results but also verifiable certificates that the results can be trusted.},
  author       = {Barrett, Clark and Henzinger, Thomas A and Seshia, Sanjit A.},
  issn         = {1557-7317},
  journal      = {Communications of the ACM},
  number       = {1},
  pages        = {66--75},
  publisher    = {Association for Computing Machinery},
  title        = {{Certificates in AI: Learn but verify}},
  doi          = {10.1145/3737447},
  volume       = {69},
  year         = {2026},
}

@article{21037,
  abstract     = {The oxygen reduction reaction (ORR) remains a critical bottleneck in fuel cells and metal-air batteries due to the lack of highly efficient electrocatalysts. Here, we report a simple strategy for synthesizing a palladium-based heterostructured electrocatalyst supported on a carbon nitride matrix (PdH-Pd@CN), which exhibits remarkable ORR activity with a half-wave potential of 0.91 V and excellent durability in 0.1 M KOH. Within the heterostructure, hydrogen intercalation expands the Pd lattice, while interstitial hydrogen doping facilitates charge transfer from Pd to H owing to their electronegativity difference. These synergistic effects modulate the electronic structure, thereby enhancing both activity and stability. When employed in Zn-air batteries, PdH-Pd@CN delivers a maximum power density of 176 mW cm− (Liu et al., 2025) and capacity of 805 mAh g− (Sun et al., 2021) Zn. These findings demonstrate the strong potential of PdH-Pd@CN as an efficient ORR electrocatalyst for next-generation metal-air batteries and related energy technologies.},
  author       = {Shi, Changwei and Horta, Sharona and Ibáñez, Maria and Kallio, Tanja and Martínez-Alanis, Paulina R. and Wang, Xiang and Cabot, Andreu},
  issn         = {0009-2509},
  journal      = {Chemical Engineering Science},
  publisher    = {Elsevier},
  title        = {{Hydrogen induced palladium-based heterojunction electrocatalysts to enhance the oxygen reduction reaction performance}},
  doi          = {10.1016/j.ces.2026.123348},
  volume       = {324},
  year         = {2026},
}

@inbook{21056,
  abstract     = {In this work, we introduce and study what we believe is an intriguing, and, to the best of our knowledge, previously unknown connection between two fundamental areas in computational topology, namely topological data analysis (TDA) and knot theory. Given a function from a topological space to ℝ, TDA provides tools to simplify and study the importance of topological features: in particular, the 𝑙^𝑡⁢ℎ-dimensional persistence diagram encodes the topological changes (or 𝑙-homology) in the sublevel set as the function value increases into a set of points in the plane. Given a continuous one parameter family of such functions, we can combine the persistence diagrams into an object known as a vineyard, which tracks the evolution of points in the persistence diagram as the function changes. If we further restrict that family of functions to be periodic, we identify the two ends of the vineyard, yielding a closed vineyard. This allows the study of monodromy, which in this context means that following the family of functions for a period permutes the set of points in a non-trivial way. Recent work has studied monodromy in the directional persistent homology transform, demonstrating some interesting connections between an input shape and monodromy in the persistent homology transform for 0-dimensional homology embedded in ℝ^2.
In this work, given a link and a value 𝑙, we construct a topological space (based on the given link) and periodic family of functions on this space (based on the Euclidean distance function), such that the closed 𝑙-vineyard contains this link. This shows that vineyards are topologically as rich as one could possibly hope, suggesting many future directions of work. Importantly, it has at least two immediate consequences we explicitly point out:
1.	Monodromy of any periodicity can occur in a 𝑙-vineyard for any 𝑙. This answers a variant of a question by Arya and collaborators. To exhibit this as a consequence of our first main result we also reformulate monodromy in a more geometric way, which may be of interest in itself.
2.	Topologically distinguishing closed vineyards is likely to be difficult (from a complexity theory as well as from a practical perspective) because of the difficulty of knot and link recognition, which have strong connections to many NP-hard problems.},
  author       = {Chambers, Erin W. and Fillmore, Christopher D and Stephenson, Elizabeth R and Wintraecken, Mathijs},
  booktitle    = {Proceedings of the 2026 Annual ACM-SIAM Symposium on Discrete Algorithms},
  editor       = {Green Larsen, Kasper and Saha, Barna},
  pages        = {6240--6263},
  publisher    = {Society for Industrial and Applied Mathematics},
  title        = {{Braiding Vineyards}},
  doi          = {10.1137/1.9781611978971.225},
  year         = {2026},
}

@misc{21116,
  abstract     = {Sex-chromosome systems are highly variable across animals, but how they transition from one to another is not well understood. Diptera have undergone multiple sex-chromosome turnovers and expansions while maintaining their general chromosomal content, which makes them an ideal clade to study such transitions. We analyzed more than 100 dipteran whole-genome assemblies and identified 4 new lineages that underwent sex-chromosome turnover (in addition to the 5 previously reported). We find that the majority of turnovers happened in the group Schizophora, which tend to have fewer genes on Muller element F (the chromosome homologous to the ancestral insect X chromosome) than lower dipterans, a factor previously hypothesized to facilitate turnover. Most derived X chromosomes have higher GC content than autosomes, consistent with a high prevalence of male achiasmy in Diptera. In addition, an excess of gene movement out of the X is detected for most of these new X chromosomes, and many of these moved genes have high testis expression in Drosophila, suggesting that out-of-X gene movement contributes to the long-term demasculinization of X chromosomes.},
  author       = {Layana Franco, Lorena Alexandra and Toups, Melissa A and Vicoso, Beatriz},
  keywords     = {Schizophora, sex chromosomes, sex-chromosome turnover, Diptera, genomic features, out-of-X movement.},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Research Data for "Causes and consequences of sex-chromosome turnovers in Diptera"}},
  doi          = {10.15479/AT-ISTA-21116},
  year         = {2026},
}

@inproceedings{21135,
  abstract     = {Three-dimensional (3D) microscopy data is often anisotropic with significantly lower resolution (up to 8x) along the z axis than along the xy axes. Computationally generating plausible isotropic resolution from anisotropic imaging data would benefit the visual analysis of large-scale volumes. This paper proposes niiv, a self-supervised method for isotropic reconstruction of 3D microscopy data that can quickly produce images at arbitrary output resolutions. The representation embeds a learned latent code within a neural field that describes the implicit higher-resolution isotropic image region. We use an attention-guided latent interpolation approach, which allows flexible information exchange over a local latent neighborhood. Under isotropic volume assumptions, we self-supervise this representation on low-/high-resolution lateral image pairs to reconstruct an isotropic volume from low-resolution axial images. We evaluate our method on simulated and real anisotropic electron (EM) and light microscopy (LM) data. Compared to diffusion-based baselines, niiv shows improved reconstruction quality (+1 dB PSNR) and is over three orders of magnitude faster (1,000x) to infer. Specifically, niiv reconstructs a 128^3 voxel volume in 2/10th of a second, renderable at varying (continuous) high resolutions for display. Our code is available at https://github.com/jakobtroidl/niiv-miccai.},
  author       = {Troidl, Jakob and Liang, Yiqing and Beyer, Johanna and Tavakoli, Mojtaba and Danzl, Johann G and Hadwiger, Markus and Pfister, Hanspeter and Tompkin, James},
  booktitle    = {1st International Workshop on Efficient Medical Artificial Intelligence},
  isbn         = {9783032139603},
  issn         = {1611-3349},
  location     = {Daejeon, South Korea},
  pages        = {257--267},
  publisher    = {Springer Nature},
  title        = {{niiv: Interactive Self-supervised Neural Implicit Isotropic Volume Reconstruction}},
  doi          = {10.1007/978-3-032-13961-0_26},
  volume       = {16318},
  year         = {2026},
}

@inproceedings{21140,
  abstract     = {We consider several problems related to packing forests in graphs. The first one is to find k edge-disjoint forests in a directed graph G of maximal size such that the indegree of each vertex in these forests is at most k. We describe a min-max characterization for this problem and show that it can be solved in almost linear time for fixed k, extending the algorithm of [Gabow, 1995]. Specifically, the complexity is O(kδm log n), where n, m are the number of vertices and edges in G respectively, and δ = max{1, k − kG}, where kG is the edge connectivity of the graph. Using our solution to this problem, we improve complexities for two existing applications:(1) k-forest problem: find k forests in an undirected graph G maximizing the number of edges in their union. We show how to solve this problem in O(k3 min{kn, m} log2 n + k · MAXFLOW(m, m) log n) time, breaking the Ok(n3/2) complexity barrier of previously known approaches.(2) Directed edge-connectivity augmentation problem: find a smallest set of directed edges whose addition to the given directed graph makes it strongly k-connected. We improve the deterministic complexity for this problem from O(kδ(m + δn) log n) [Gabow, STOC 1994] to O(kδm log n). A similar approach with the same complexity also works for the undirected version of the problem.},
  author       = {Arkhipov, Pavel and Kolmogorov, Vladimir},
  booktitle    = {Proceedings of the 2026 Annual ACM-SIAM Symposium on Discrete Algorithms},
  location     = {Vancouver, Canada},
  pages        = {4023--4042},
  publisher    = {Society for Industrial and Applied Mathematics},
  title        = {{Faster algorithms for packing forests in graphs and related problems}},
  doi          = {10.1137/1.9781611978971.148},
  year         = {2026},
}

@article{21149,
  abstract     = {We present a general theoretical framework for helical dichroism (HD), establishing an explicit link between chiral resolution and orbital angular momentum (OAM) exchange in light–matter interaction. Tracing microscopic mechanisms of the OAM transfer, we derive rotational selection rules, which establish that HD emerges only from the spin–orbit coupling of light, even for beams without the far-field OAM. Our findings refine the conditions for observing HD, provide a tool to re-examine the outcome of prior experiments, and guide future designs for chiral sensing with structured light.},
  author       = {Hrast, Mateja and Koutentakis, Georgios and Maslov, Mikhail and Lemeshko, Mikhail},
  issn         = {1079-7114},
  journal      = {Physical Review Letters},
  number       = {5},
  publisher    = {American Physical Society},
  title        = {{Bottom-up analysis of rovibrational helical dichroism}},
  doi          = {10.1103/fkf1-1jml},
  volume       = {136},
  year         = {2026},
}

@article{21161,
  abstract     = {In many species, sex-biased expression is widespread and thought to contribute to sexual dimorphism. While bulk RNA-sequencing has been instrumental in identifying strongly sex-biased genes, it lacks resolution to assess variation across cell-types and tissue compartments. Using single-nucleus expression data from the Fly Cell Atlas, we investigate sex differences in adult Drosophila melanogaster. We find that differences in cell-type composition between the sexes are not a major source of sex-bias, as for the vast majority of genes, the degree of sex-bias is similar regardless of whether sex differences in cell-type composition are controlled for or not. Our analysis confirms a deficit of X-linked male-biased genes in the body’s somatic tissues that is widespread across cell-types. We also find the excess of X-linked female-biased genes to be associated with nervous system cells in the head but with epithelial cells in the body’s somatic tissues, showing that single-nucleus data crucially resolves sex-bias at the cell-type level. We investigate dosage compensation (DC) across 15 tissues and 17 cell-types. We observe that it varies throughout the body. Surprisingly, we observe a lack of DC in a cluster of main cells within the male accessory glands. This result highlights the importance of understanding context-dependent DC.},
  author       = {De Castro Barbosa Rodrigues Barata, Carolina and Vicoso, Beatriz},
  issn         = {1471-2954},
  journal      = {Proceedings of the Royal Society B Biological Sciences},
  number       = {2063},
  publisher    = {Royal Society of London},
  title        = {{Single-nucleus resolution of sex-biased expression and dosage compensation in Drosophila melanogaster}},
  doi          = {10.1098/rspb.2025.2471},
  volume       = {293},
  year         = {2026},
}

@unpublished{21212,
  abstract     = {Malignant glioma is incurable. Using a mouse genetic mosaic system to generate sporadic Trp53,Nf1-null OPCs, we previously identified oligodendrocyte precursor cell (OPC) as a cell-of-origin of glioma. Here, we report that pre-malignant Trp53,Nf1-null OPCs outcompete wildtype counterparts during their expansion. Blocking competition by mutating/strengthening wildtype OPCs impeded both pre-malignant progression and malignant expansion of glioma.

“In-tissue” phosphoproteomic profiling revealed an enrichment of phosphopeptides related to RNA splicing and protein translation at the peak of cell competition, suggesting that competitiveness may stem from unique protein species. Among candidates was mTORC1, whose pharmacological inhibition or genetic disruption resulted in a loss of competitiveness in our mouse model. Finally, analysis of patient biopsies and interrogating the role of individual gliomagenic mutations in OPC competition supported its relevance in human gliomas. Together, these findings identified the driving role of competitive interactions among OPCs in gliomagenesis, and suggest unconventional therapeutic strategies to target this process.},
  author       = {Jiang, Ying and Ahn, Ryuhjin and Huang, Arthur and Gonzalez, Phillippe P. and Kim, Jungeun and Zhang, Guoxin and Liu, Zihao and He, Zhenqiang and Dudley, Lindsey and Patel, Kunal S. and Dzhivhuho, Godfrey A. and Crowl, Sam and Przanowski, Piotr and Camacho, Luisa Quesada and Hao, Sijie and Zeng, Jianhao and Hippenmeyer, Simon and Fallahi-Sichani, Mohammad and Janes, Kevin A. and Naegle, Kristen M. and Hammarskjold, Marie-Louise and Goldman, Steven A. and Kornblum, Harley I. and Yao, Maojin and White, Forest and Zong, Hui},
  booktitle    = {bioRxiv},
  title        = {{Critical role of cell competition in gliomagenesis}},
  doi          = {10.64898/2026.01.15.699808},
  year         = {2026},
}

@article{21231,
  abstract     = {To assess cell migration in complex spatial environments, microfabricated chips, such as mazes and pillar forests, are routinely used to impose spatial and mechanical constraints, and cell trajectories are followed within these structures by advanced imaging techniques. In systems mechanobiology, computational models serve as essential tools to uncover how physical geometry influences intracellular dynamics; however, decoding such complex behaviors requires advanced inference techniques. Here, we integrated experimental observations of dendritic cell migration in a geometrically constrained microenvironment into a Cellular Potts model. We demonstrated that these spatial constraints modulate the motility dynamics, including speed and directional changes. We show that classical summary statistics, such as mean squared displacement and turning angle distributions, can resolve key mechanistic features but fail to extract richer spatiotemporal patterns, limiting accurate parameter inference. To solve this, we applied neural posterior estimation with in-the-loop learning of summary features. This learned summary representation of the data enables robust and flexible parameter inference, providing a data-driven framework for model calibration and advancing quantitative analysis of cell migration in structured microenvironments.},
  author       = {Arruda, Jonas and Alamoudi, Emad and Mueller, Robert and Vaisband, Marc and Molkenbur, Ronja and Merrin, Jack and Kiermaier, Eva and Hasenauer, Jan},
  issn         = {2056-7189},
  journal      = {npj Systems Biology and Applications},
  publisher    = {Springer Nature},
  title        = {{Simulation-based inference of cell migration dynamics in complex spatial environments}},
  doi          = {10.1038/s41540-026-00648-9},
  volume       = {12},
  year         = {2026},
}

@article{21282,
  abstract     = {Developmental patterning comprises processes that range from purely instructed, where external signals specify cell fates, to fully self-organized, where spatial patterns emerge autonomously through cellular interactions. We propose that both extremes—as well as the continuum of intermediate cases—can be conceptualized as information-processing systems, whose operation can be described using “Marr's three levels of analysis”: the computational problem being solved, the algorithms employed, and their molecular implementation. At the first level, we argue that normative theories, such as information-theoretic optimization principles, provide a formalization of the computational problem. At the second level, we show how simplified information-processing architectures provide a framework for developmental algorithms, which are formalized mathematically using dynamical systems theory. At the third level, the implementation of developmental algorithms is described by mechanistic biophysical and gene regulatory network models.},
  author       = {Brückner, David and Tkačik, Gašper},
  issn         = {2835-8279},
  journal      = {PRX Life},
  publisher    = {American Physical Society},
  title        = {{Marr's three levels for embryonic development: Information, dynamical systems, gene networks}},
  doi          = {10.1103/fdcf-dkws},
  volume       = {4},
  year         = {2026},
}

@unpublished{21290,
  abstract     = {Gene duplication underlies evolutionary innovation, yet many paralogues remain highly similar, raising questions about their functional divergence and physiological relevance. The spliceosomal Sm core protein SNRPB and its mammalian-specific paralogue SNRPN share over 90% sequence identity, but their distinct expression patterns - SNRPB being ubiquitous and SNRPN confined to the brain - suggest specialized functions. Why mammals have two different spliceosomes has remained obscure. Here, we generated isogenic human cell lines expressing ectopically either SNRPB or SNRPN exclusively and found that SNRPN stabilizes transcripts involved in energy metabolism and mitochondrial function, leading to increased mitochondrial abundance and oxygen consumption. Despite similar spliceosomal interactomes, SNRPN more strongly associates with the PRMT5 methylosome complex and exhibits dynamic arginine methylation in its C-terminal region that is sensitive to translation inhibition and amino acid availability. The SNRPN-dependent transcriptome responds to translation inhibition by stabilizing long, intron-rich genes involved in amino acid and energy metabolism. Our findings reveal a nutrient-sensitive, methylation-dependent mechanism that differentiates the two paralogues. This suggests that SNRPN functions as a metabolic-specialized spliceosomal subunit thereby providing tissue-specific adaptation of RNA processing in mammals.},
  author       = {Polat Haas, Feyza and Villalba Requena, Ana and Rusina, Polina and Gopalan, Anusha and Fritz, Hector and Akhmetkaliyev, Azamat and Ruehle, Frank and Einsiedel, Anna and Szczepinska, Anna and Kielisch, Fridolin and Chen, Jia-Xuan and Nguyen, Susanne and Schmidlin, Thierry and Hippenmeyer, Simon and Bailicata, M. Felicia and Keller Valsecchi, Claudia Isabelle},
  booktitle    = {bioRxiv},
  title        = {{The splicing paralogues SNRPB and SNRPN control differential metabolic states.}},
  doi          = {10.64898/2026.02.11.705284},
  year         = {2026},
}

@article{21295,
  abstract     = {Depending on the type of flow, the transition to turbulence can take one of two forms: either turbulence arises from a sequence of instabilities or from the spatial proliferation of transiently chaotic domains, a process analogous to directed percolation. The former scenario is commonly referred to as a supercritical transition and frequently encountered in flows destabilized by body forces, whereas the latter subcritical transition is common in shear flows. Both cases are inherently continuous in a sense that the transformation from ordered laminar to fully turbulent fluid motion is only accomplished gradually with flow speed. Here we show that these established transition types do not account for the more general setting of shear flows subject to body forces. The combination of the two continuous scenarios leads to the attenuation of spatial coupling; with increasing forcing amplitude, the transition becomes increasingly sharp and eventually discontinuous. We argue that the suppression of laminar–turbulent coexistence and the approach towards a discontinuous phase transition potentially apply to a broad range of situations including flows subject to, for example, buoyancy, centrifugal or electromagnetic forces.},
  author       = {Yang, Bowen and Zhuang, Yi and Yalniz, Gökhan and Vasudevan, Mukund and Marensi, Elena and Hof, Björn},
  issn         = {1745-2481},
  journal      = {Nature Physics},
  publisher    = {Springer Nature},
  title        = {{Discontinuous transition to shear flow turbulence}},
  doi          = {10.1038/s41567-025-03166-3},
  year         = {2026},
}

@article{21340,
  abstract     = {Equilibrium quantum systems are often described by a gas of weakly interacting normal modes. Bringing such systems far from equilibrium, however, can drastically enhance mode-to-mode interactions. Understanding the resulting liquid is a fundamental question for quantum statistical mechanics and a practical question for engineering driven quantum devices. To tackle this question, we probe the non-equilibrium kinetics of one-dimensional plasmons in a long chain of Josephson junctions. We introduce multimode spectroscopy to controllably study the departure from equilibrium, witnessing the evolution from pairwise coupling between plasma modes at weak driving to dramatic, high-order, cascaded couplings at strong driving. Scaling to many-mode drives, we stimulate interactions between hundreds of modes, resulting in near-continuum internal dynamics. Imaging the resulting non-equilibrium plasmon populations, we then resolve the nonlocal redistribution of energy in the response to a weak perturbation—an explicit verification of the emergence of a strongly interacting, non-equilibrium liquid of plasmons.},
  author       = {Bubis, Anton and Vigliotti, Lucia and Serbyn, Maksym and Higginbotham, Andrew P},
  issn         = {2375-2548},
  journal      = {Science Advances},
  number       = {7},
  publisher    = {American Association for the Advancement of Science},
  title        = {{Non-equilibrium plasmon liquid in a Josephson junction chain}},
  doi          = {10.1126/sciadv.ady7222},
  volume       = {12},
  year         = {2026},
}

@phdthesis{21360,
  author       = {Riegler, Stefan},
  issn         = {2663-337X},
  pages        = {185},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Root system plasticity under nutrient limitation : Investigating hormonal and molecular drivers in Arabidopsis thaliana and Coffea  species}},
  doi          = {10.15479/AT-ISTA-21360},
  year         = {2026},
}

