@inproceedings{21717,
  abstract     = {Robust Markov Decision Processes (RMDPs) generalize classical MDPs that consider uncertainties in transition probabilities by defining a set of possible transition functions. An objective is a set of runs (or infinite trajectories) of the RMDP, and the value for an objective is the maximal probability that the agent can guarantee against the adversarial environment. We consider (a) reachability objectives, where given a target set of states, the goal is to eventually arrive at one of them; and (b) parity objectives, which are a canonical representation for ω-regular objectives. The qualitative analysis problem asks whether the objective can be ensured with probability 1. In this work, we study the qualitative problem for reachability and parity objectives on RMDPs without making any assumption over the structures of the RMDPs, e.g., unichain or aperiodic. Our contributions are twofold. We first present efficient algorithms with oracle access to uncertainty sets that solve qualitative problems of reachability and parity objectives. We then report experimental results demonstrating the effectiveness of our oracle-based approach on classical RMDP examples from the literature scaling up to thousands of states.},
  author       = {Asadi, Ali and Chatterjee, Krishnendu and Kafshdar Goharshadi, Ehsan and Karrabi, Mehrdad and Shafiee, Ali},
  booktitle    = {Proceedings of the 40th AAAI Conference on Artificial Intelligence},
  issn         = {2374-3468},
  location     = {Singapore, Singapore},
  number       = {43},
  pages        = {36137--36145},
  publisher    = {Association for the Advancement of Artificial Intelligence},
  title        = {{Qualitative analysis of ω-regular objectives on robust MDPs}},
  doi          = {10.1609/aaai.v40i43.40931},
  volume       = {40},
  year         = {2026},
}

@inproceedings{21722,
  abstract     = {Partially observable Markov decision processes (POMDPs) are a central model for uncertainty in sequential decision making. The most basic objective is the reachability objective, where a target set must be eventually visited, and the more general parity objectives can model all omega-regular specifications. For such objectives, the computational analysis problems are the following: (a) qualitative analysis that asks whether the objective can be satisfied with probability 1 (almost-sure winning) or probability arbitrarily close to 1 (limit-sure winning); and (b) quantitative analysis that asks for the approximation of the optimal probability of satisfying the objective. For general POMDPs, almost-sure analysis for reachability objectives is EXPTIME-complete, but limit-sure and quantitative analyses for reachability objectives are undecidable; almost-sure, limit-sure, and quantitative analyses for parity objectives are all undecidable. A special class of POMDPs, called revealing POMDPs, has been studied recently in several works, and for this subclass the almost-sure analysis for parity objectives was shown to be EXPTIME-complete. In this work, we show that for revealing POMDPs the limit-sure analysis for parity objectives is EXPTIME-complete, and even the quantitative analysis for parity objectives can be achieved in EXPTIME.},
  author       = {Asadi, Ali and Chatterjee, Krishnendu and Lurie, David and Saona Urmeneta, Raimundo J},
  booktitle    = {Proceedings of the AAAI Conference on Artificial Intelligence},
  issn         = {2374-3468},
  location     = {Singapore, Singapore},
  number       = {43},
  pages        = {36146--36154},
  publisher    = {Association for the Advancement of Artificial Intelligence},
  title        = {{Revealing POMDPs: Qualitative and quantitative analysis for parity objectives}},
  doi          = {10.1609/aaai.v40i43.40932},
  volume       = {40},
  year         = {2026},
}

@article{21750,
  abstract     = {Liquid-like superionic conductors, with highly mobile ions in a rigid framework, offer intrinsically low lattice thermal conductivity without compromising electronic transport. Argyrodite-type Ag8SnSe6 exhibits a melt-like Ag sublattice that drives lattice thermal conductivity (κL) below 0.2 watts per meter per kelvin, yet its low carrier concentration limits the power factor. Here, interstitial Ag atoms raise the Fermi level into the conduction band, substantially increasing the electron concentration. Simultaneously, the formation of a secondary Ag2Se phase generates lattice distortions that enhance phonon scattering. A pronounced mismatch between electronic (~200 nanometers) and phononic (~0.22 nanometers) mean free paths decouples charge and heat transport, enabling concurrent suppression of κL and retention of high electrical conductivity. This coupled electronic-phononic modulation yields a record ZT of 0.72 at ambient temperature and a peak ZT of 1.1 at 735 kelvins, with an average ZTavg of 0.72 over 320 to 735 kelvins. A unicouple device achieves 6.3% efficiency under a 357-kelvin gradient, highlighting a practical strategy for high-performance midtemperature thermoelectrics.},
  author       = {Li, Mengyao and Zhao, Xueke and Zhang, Yu and Yu, Jing and Liu, Xuyang and Jia, Mochen and Song, Hongzhang and Wang, Dongyang and Arbiol, Jordi and Ibáñez, Maria and Shan, Chongxin and Cabot, Andreu and Wang, Ziyu},
  issn         = {2375-2548},
  journal      = {Science Advances},
  number       = {15},
  publisher    = {AAAS},
  title        = {{Electronic-phononic decoupling and Fermi-level tuning enable high thermoelectric performance in Ag8SnSe6}},
  doi          = {10.1126/sciadv.aec9073},
  volume       = {12},
  year         = {2026},
}

@article{21763,
  abstract     = {Reactive oxygen species (ROS) have been implicated in multiple signaling processes in plants, but the underlying mechanisms and roles remain enigmatic. In this study, we developed a method of live imaging of apoplastic ROS at the root surface. Distinct signals, including auxin, extracellular adenosine triphosphate, and rapid alkalinization factor 1 peptide, induce cytosolic calcium transients and apoplastic ROS bursts. Genetic and optogenetic manipulations of Arabidopsis identified calcium transients as necessary and sufficient for ROS bursts through activation of reduced nicotinamide adenine dinucleotide phosphate (NADPH) oxidases RBOHC and RBOHF. Apoplastic ROS bursts are not required, but they do limit gravity-induced root bending. Root bending is sensed by the stretch-activated calcium channel MCA1, leading to NADPH oxidase activation. The resulting ROS production stiffens cell walls to facilitate soil penetration. Apoplastic ROS thus provides a means to balance tissue flexibility and stiffness to navigate soil.},
  author       = {Kulich, Ivan and Vladimirtsev, Dmitrii and Randuch, Marek and Gao, Shiqiang and Citterico, Matteo and Konrad, Kai R. and Nagel, Georg and Wrzaczek, Michael and Cascaro, Léa and Vinet, Pauline and Durand, Pauline and Asnacios, Atef and Verma, Lokesh and Bennett, Malcolm J. and Pandey, Bipin K. and Friml, Jiří},
  issn         = {1095-9203},
  journal      = {Science},
  number       = {6795},
  pages        = {296--300},
  publisher    = {AAAS},
  title        = {{Calcium-triggered apoplastic ROS bursts balance gravity and mechanical signals for soil navigation}},
  doi          = {10.1126/science.adu8197},
  volume       = {392},
  year         = {2026},
}

@article{21848,
  abstract     = {Despite the success of mRNA therapeutics, challenges remain in optimizing immune responses and minimizing side effects. Cell-specific antigen delivery may help reduce required doses and improve vaccine efficacy. In this study, we report on a targeted delivery system for mRNA to a specific subset of skin-resident antigen-presenting cells: Langerhans cells. By functionalizing lipid nanoparticles with a langerin-specific glycomimetic ligand, we achieve selective mRNA delivery to both murine and human primary Langerhans cells with minimal off-target uptake, at the same time resulting in significantly increased mRNA translation. This targeted mRNA delivery not only enhances antigen presentation and T-cell responses but also enables dose-sparing and superior antitumor immunity compared with conventional immunization in a B16-OVA tumor model. Importantly, our platform’s high compatibility with various lipid nanoparticle formulations offers a flexible and precise tool for skin-directed mRNA delivery.},
  author       = {Klein, Klara and Johnson, Litty and Rîca, Ramona and Sarcevic, Mirza and Carta, Gabriele and Seiser, Saskia and Elbe-Bürger, Adelheid and Langer, Freyja and Rahhal, Nowras and Rademacher, Christoph and Wawrzinek, Robert and Quattrone, Federica and Sparber, Florian},
  issn         = {1523-1747},
  journal      = {Journal of Investigative Dermatology},
  publisher    = {Elsevier},
  title        = {{Langerhans cell–targeted mRNA delivery: A strategy for dose-sparing and enhanced antitumor immunity}},
  doi          = {10.1016/j.jid.2026.03.026},
  year         = {2026},
}

@unpublished{21870,
  abstract     = {Superconducting qubits are a leading candidate for utility-scale quantum computing due to their fast gate speeds and steadily decreasing error rates. The requirement for millikelvin operating temperatures, however, creates a significant scaling bottleneck. Modular architectures using optical fiber links could bridge separate cryogenic nodes, but superconducting circuits do not have coherent optical transitions and microwave-to-optical conversion has not been shown for any non-classical photon state. In this work, we demonstrate the on-demand generation and tomographic reconstruction of itinerant single microwave photons at 8.9 GHz from a superconducting qubit. We upconvert this non-Gaussian state with a transducer added noise below 0.012 quanta and count the converted telecom photons at 193.4 THz with a signal-to-noise ratio of up to 5.1$\pm$1.1. We characterize the trade-offs between throughput and noise, and establish a viable path toward heralded entanglement distribution and gate teleportation. Looking ahead, these results empower existing superconducting devices to take a key role in distributed quantum technologies and heterogeneous quantum systems.},
  author       = {Werner, Thomas and Riyazi, Erfan and Hawaldar, Samarth and Sahu, Rishabh and Arnold, Georg M and Paul Falthansl-Scheinecker, Paul Falthansl-Scheinecker and Naranjo, Jennifer A. Sánchez and Loi, Dante and Kapoor, Lucky N. and Zemlicka, Martin and Qiu, Liu and Militaru, Andrei and Fink, Johannes M},
  booktitle    = {arXiv},
  title        = {{Electro-optic conversion of itinerant Fock states}},
  doi          = {10.48550/arXiv.2602.00928},
  year         = {2026},
}

@unpublished{21859,
  abstract     = {As artificial neural networks, and specifically large language models, have improved rapidly in capabilities and quality, they have increasingly been deployed in real-world applications, from customer service to Google search, despite the fact that they frequently make factually incorrect or undesirable statements. This trend has inspired practical and academic interest in model editing, that is, in adjusting the weights of the model to modify its likely outputs for queries relating to a specific fact or set of facts. This may be done either to amend a fact or set of facts, for instance, to fix a frequent error in the training data, or to suppress a fact or set of facts entirely, for instance, in case of dangerous knowledge. Multiple methods have been proposed to do such edits. However, at the same time, it has been shown that such model editing can be brittle and incomplete. Moreover the effectiveness of any model editing method necessarily depends on the data on which the model is trained, and, therefore, a good understanding of the interaction of the training data distribution and the way it is stored in the network is necessary and helpful to reliably perform model editing. However, working with large language models trained on real-world data does not allow us to understand this relationship or fully measure the effects of model editing. We therefore propose Behemoth, a fully synthetic data generation framework. To demonstrate the practical insights from the framework, we explore model editing in the context of simple tabular data, demonstrating surprising findings that, in some cases, echo real-world results, for instance, that in some cases restricting the update rank results in a more effective update.},
  author       = {Iofinova, Eugenia B and Alistarh, Dan-Adrian},
  booktitle    = {arXiv},
  title        = {{Behemoth: Benchmarking unlearning in LLMs using fully synthetic data}},
  doi          = {10.48550/arXiv.2601.23153},
  year         = {2026},
}

@misc{21857,
  abstract     = {The availability of powerful open-source large language models (LLMs) opens exciting use cases, such as using personal data to fine-tune these models to imitate a user’s unique writing style. Two key requirements for this functionality are personalization–in the sense that the output should recognizably reflect the user’s own writing style—and privacy–users may justifiably be wary of uploading extremely personal data, such as their email archive, to a third-party service. In this paper, we demonstrate the feasibility of training and running such an assistant, which we call Panza, on commodity hardware, for the specific use case of email generation. Panza’s personalization features are based on a combination of parameter-efficient fine-tuning using a variant of the Reverse Instructions technique [1] and Retrieval-Augmented Generation (RAG) [2]. We demonstrate that this combination allows us to fine-tune an LLM to reflect a user’s writing style using limited data, while executing on extremely limited resources, e.g. on a free Google Colab instance. Our key methodological contribution is the first detailed study of evaluation metrics for this task, and
of how different choices of system components–the use of RAG and of different fine-tuning approaches–impact the system’s performance. Additionally, we demonstrate that very little data - under 100 email samples - are sufficient to create models that convincingly imitate humans, showcasing a previously unknown attack vector in language models. We are releasing the full Panza code as well as three new email datasets licensed for research use.},
  author       = {Nicolicioiu, Armand and Iofinova, Eugenia B and Jovanovic, Andrej and Kurtic, Eldar and Nikdan, Mahdi and Panferov, Andrei and Markov, Ilia and Shavit, Nir and Alistarh, Dan-Adrian},
  booktitle    = {Third Conference on Parsimony and Learning (Proceedings Track)},
  keywords     = {LLMs, PEFT, LoRA, personalization, efficient ML},
  location     = {Tübíngen, Germany},
  publisher    = {OpenReview},
  title        = {{Panza: Investigating the feasibility of fully-local personalized text generation}},
  year         = {2026},
}

@article{14647,
  abstract     = {In the developing vertebrate central nervous system, neurons and glia typically arise
sequentially from common progenitors. Here, we report that the transcription factor Forkhead
Box G1 (Foxg1) regulates gliogenesis in the mouse neocortex via distinct cell-autonomous roles in progenitors and postmitotic neurons that regulate different aspects of the gliogenic FGF signalling pathway. We demonstrate that loss of Foxg1 in cortical progenitors at neurogenic stages causes premature astrogliogenesis. We identify a novel FOXG1 target, the pro-gliogenic FGF pathway component Fgfr3, which is suppressed by FOXG1 cell-autonomously to maintain neurogenesis. Furthermore, FOXG1 can also suppress premature astrogliogenesis triggered by the augmentation of FGF signalling. We identify a second novel function of FOXG1 in regulating the expression of gliogenic cues in newborn neocortical upper-layer neurons. Loss of FOXG1 in postmitotic neurons non-autonomously enhances gliogenesis in the progenitors via FGF signalling. These results fit well with the model that newborn neurons secrete cues that trigger progenitors to produce the next wave of cell types, astrocytes. If FGF signalling is attenuated in Foxg1 null progenitors, they progress to oligodendrocyte production. Therefore, loss of FOXG1 transitions the progenitor to a gliogenic state, producing either astrocytes or oligodendrocytes depending on FGF signalling levels. Our results uncover how FOXG1 integrates extrinsic signalling via the FGF pathway to regulate the sequential generation of neurons, astrocytes, and oligodendrocytes in the cerebral cortex. },
  author       = {Bose, Mahima and Suresh, Varun and Mishra, Urvi and Talwar, Ishita and Yadav, Anuradha and Biswas, Shiona and Hippenmeyer, Simon and Tole, Shubha},
  issn         = {2050-084X},
  journal      = {eLife},
  publisher    = {eLife Sciences Publications},
  title        = {{Dual role of FOXG1 in regulating gliogenesis in the developing neocortex via the FGF signalling pathway}},
  doi          = {10.7554/elife.101851.3},
  volume       = {13},
  year         = {2025},
}

@article{18169,
  abstract     = {As the complexity and criticality of software increase every year, so does the importance of runtime monitoring. Third-party and best-effort monitoring are especially valuable, yet under-explored areas of runtime monitoring. In this context, third-party monitoring means monitoring with a limited knowledge of the monitored software (as it has been developed by a third party). Best-effort monitoring keeps pace with the monitored software at the cost of possibly imprecise verdicts when keeping up with the monitored software would not be feasible. Most existing monitoring frameworks do not support the combination of third-party and best-effort monitoring because they either require the full access to the monitored code or the ability to process all observable events, or both.
We present a middleware framework, Vamos, for the runtime monitoring of software. Vamos is explicitly designed to support third-party and best-effort scenarios. The design goals of Vamos are (i) efficiency (tracing events with low overhead), (ii) flexibility (the ability to monitor a variety of different event channels, and to connect to a wide range of monitors), and (iii) ease-of-use. To achieve its goals, Vamos combines aspects of event broker and event recognition systems with aspects of stream processing systems.
We implemented a prototype toolchain for Vamos and conducted a set of experiments demonstrating the usability of the scheme. The results indicate that Vamos enables writing useful yet efficient monitors, and simplifies key aspects of setting up a monitoring system from scratch.},
  author       = {Chalupa, Marek and Mühlböck, Fabian and Muroya Lei, Stefanie and Henzinger, Thomas A},
  issn         = {0167-6423},
  journal      = {Science of Computer Programming},
  number       = {2},
  publisher    = {Elsevier},
  title        = {{VAMOS: Middleware for best-effort third-party monitoring}},
  doi          = {10.1016/j.scico.2024.103212},
  volume       = {240},
  year         = {2025},
}

@article{18529,
  abstract     = {Temporal networks are obtained from time-dependent interactions among individuals, whereas the interactions can be emails, phone calls, face-to-face meetings, or work collaboration. In this article, a temporal game framework is established, in which interactions among rational individuals are embedded into two-player games in a time-dependent manner. This allows studying the time-dependent complexity and variability of interactions, and the way they affect prosocial behaviors. Based on this simple mathematical model, it is found that the level of cooperation is promoted when the time of collaboration is equally limited for every individual. This observation is confirmed by a series of systematic human experiments on over 1,400 subjects, forming a foundation for comprehensively describing human temporal interactions in collaboration. The research results reveal an important incentive for human cooperation, leading to a better understanding of a fascinating aspect of human nature in society.},
  author       = {Zhang, Yichao and Wang, Jiasheng and Wen, Guanghui and Guan, Jihong and Zhou, Shuigeng and Chen, Guanrong and Chatterjee, Krishnendu and Perc, Matjaz},
  issn         = {2327-4697},
  journal      = {IEEE Transactions on Network Science and Engineering},
  number       = {1},
  pages        = {4--12},
  publisher    = {IEEE},
  title        = {{Limitation of time promotes cooperation in structured collaboration systems}},
  doi          = {10.1109/TNSE.2024.3481434},
  volume       = {12},
  year         = {2025},
}

@article{18619,
  abstract     = {Brassinosteroids (BRs) are steroidal phytohormones indispensable for plant growth, development, and responses to environmental stresses. The export of bioactive BRs to the apoplast is essential for BR signalling initiation, which requires binding of BR molecule to the extracellular domains of the plasma membrane-localized receptor complex. We have previously shown that the Arabidopsis thaliana ATP-binding cassette (ABC) transporter, ABCB19, functions as a BR exporter, and together with its close homologue, ABCB1, positively regulate BR signalling. Here, we demonstrate that ABCB1 is another BR transporter. The ATP hydrolysis activity of ABCB1 was stimulated by bioactive BRs, and its transport activity was confirmed in proteoliposomes and protoplasts. Structures of ABCB1 in substrate-unbound (apo), brassinolide (BL)-bound, and ATP plus BL-bound states were determined. In the BL-bound structure, BL was bound to the hydrophobic cavity formed by the transmembrane domain, and triggered local conformational changes. Together, our data provide additional insights into the ABC transporter-mediated BR export.},
  author       = {Wei, H and Zhu, H and Ying, W and Janssens, H and Kvasnica, M and Winne, JM and Gao, Y and Friml, Jiří and Ma, Q and Tan, S and Liu, X and Russinova, E and Sun, L},
  issn         = {2590-3462},
  journal      = {Plant Communications},
  number       = {1},
  publisher    = {Elsevier},
  title        = {{Structural insights into brassinosteroid export mediated by the Arabidopsis ABC transporter ABCB1}},
  doi          = {10.1016/j.xplc.2024.101181},
  volume       = {6},
  year         = {2025},
}

@article{18626,
  abstract     = {The local angle property of the (order-1) Delaunay triangulations of a generic set in R2
 asserts that the sum of two angles opposite a common edge is less than π. This paper extends this property to higher order and uses it to generalize two classic properties from order-1 to order-2: (1) among the complete level-2 hypertriangulations of a generic point set in R2, the order-2 Delaunay triangulation lexicographically maximizes the sorted angle vector; (2) among the maximal level-2 hypertriangulations of a generic point set in R2, the order-2 Delaunay triangulation is the only one that has the local angle property. We also use our method of establishing (2) to give a new short proof of the angle vector optimality for the (order-1) Delaunay triangulation. For order-1, both properties have been instrumental in numerous applications of Delaunay triangulations, and we expect that their generalization will make order-2 Delaunay triangulations more attractive to applications as well.},
  author       = {Edelsbrunner, Herbert and Garber, Alexey and Saghafian, Morteza},
  issn         = {1090-2082},
  journal      = {Advances in Mathematics},
  publisher    = {Elsevier},
  title        = {{Order-2 Delaunay triangulations optimize angles}},
  doi          = {10.1016/j.aim.2024.110055},
  volume       = {461},
  year         = {2025},
}

@article{18707,
  abstract     = {Lead Sulfide (PbS) has garnered attention as a promising thermoelectric (TE) material due to its natural abundance and cost-effectiveness. However, its practical application is hindered by inherently high lattice thermal conductivity and low electrical conductivity. In this study, we address these challenges by surface functionalization of PbS nanocrystals using Cu2S molecular complexes-based ligand displacement. The molecular complexes facilitate the incorporation of Cu into the PbS matrix and leads to the formation of nanoscale defects, dislocations, and strain fields while optimizing the charge carrier transport. The structural modulations enhance the phonon scattering and lead to a significant reduction in lattice thermal conductivity of 0.60 W m−1K−1 at 867 K in the PbS-Cu2S system. Simultaneously, the Cu incorporation improves electrical conductivity by increasing both carrier concentration and mobility with carefully optimized the content of Cu2S molecular complexes. These synergistic modifications yield a peak figure-of-merit (zT) of 1.05 at 867 K for the PbS-1.0 %Cu2S sample, representing an almost twofold enhancement in TE performance compared to pristine PbS. This work highlights the effectiveness of surface treatment in overcoming the intrinsic limitations of PbS-based materials and presents a promising strategy for the development of high-efficiency TE systems.},
  author       = {Shu, Haibo and Zhao, Mingjun and Lu, Shaoqing and Wan, Shanhong and Genç, Aziz and Huang, Lulu and Ibáñez, Maria and Lim, Khak Ho and Hong, Min and Liu, Yu},
  issn         = {1095-7103},
  journal      = {Journal of Colloid and Interface Science},
  pages        = {703--712},
  publisher    = {Elsevier},
  title        = {{Influence of surface engineering on the transport properties of lead sulfide nanomaterials}},
  doi          = {10.1016/j.jcis.2024.12.067},
  volume       = {683},
  year         = {2025},
}

@misc{18712,
  abstract     = {This file contains the code associated with the manuscript 'Effect of assortative mating and sexual selection on polygenic barriers to gene flow'. },
  author       = {Surendranadh, Parvathy and Sachdeva, Himani},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Mathematica notebook and Fortran code for 'Effect of assortative mating and sexual selection on polygenic barriers to gene flow'}},
  doi          = {10.15479/AT:ISTA:17344},
  year         = {2025},
}

@article{12662,
  abstract     = {Modern machine learning tasks often require considering not just one but multiple objectives. For example, besides the prediction quality, this could be the efficiency, robustness or fairness of the learned models, or any of their combinations. Multi-objective learning offers a natural framework for handling such problems without having to commit to early trade-offs. Surprisingly, statistical learning theory so far offers almost no insight into the generalization properties of multi-objective learning. In this work, we make first steps to fill this gap: We establish foundational generalization bounds for the multi-objective setting as well as generalization and excess bounds for learning with scalarizations. We also provide the first theoretical analysis of the relation between the Pareto-optimal sets of the true objectives and the Pareto-optimal sets of their empirical approximations from training data. In particular, we show a surprising asymmetry: All Pareto-optimal solutions can be approximated by empirically Pareto-optimal ones, but not vice versa.},
  author       = {Súkeník, Peter and Lampert, Christoph},
  issn         = {1433-3058},
  journal      = {Neural Computing and Applications},
  pages        = {24669–24683},
  publisher    = {Springer Nature},
  title        = {{Generalization in multi-objective machine learning}},
  doi          = {10.1007/s00521-024-10616-1},
  volume       = {37},
  year         = {2025},
}

@article{19779,
  abstract     = {The transverse thermoelectric (Nernst) effect is a powerful probe for studying the electronic and structural properties of materials. In this study, we employ transverse thermoelectric measurements to investigate the ferroelectric distortion in the topological crystalline insulator (TCI) Pb0.60Sn0.40Te, a compound derived from PbTe and SnTe, known for their exceptional thermoelectric performance and distinct ferroelectric properties. By leveraging Nernst measurements, we provide direct evidence of ferroelectric distortion in this TCI, corroborated by Shubnikov–de Haas quantum oscillations that confirm the presence of two topologically nontrivial Fermi pockets. Density functional theory calculations show that these pockets originate from the L and T points in the Brillouin zone of the distorted structure within the TCI phase. Raman spectroscopy further identifies a structural phase transition below 50 K, consistent with the quantum oscillation observations. This observation is further substantiated by temperature-dependent synchrotron X-ray pair distribution function analysis and transmission electron microscopy, which confirm the local off-centering of cations at low temperature. These findings underscore the potential of transverse thermoelectric measurements in unveiling ferroelectric distortions and their role in modulating topological quantum states, opening new directions for research into the synergy between ferroelectricity and topological phases.},
  author       = {Negi, Pranav and He, Bin and Ukolov, Denis and Horta, Sharona and Maji, Krishnendu and Mao, Ning and Peshcherenko, Nikolai and Yanda, Premakumar and Yao, Mengyu and Dutta, Moinak and Robredo, Iñigo and Iraola, Mikel and Vergniory, Maia G. and Lemmens, Peter and Zhang, Yang and Shekhar, Chandra and Ibáñez, Maria and Felser, Claudia and Roychowdhury, Subhajit},
  issn         = {1520-5126},
  journal      = {Journal of the American Chemical Society},
  number       = {22},
  pages        = {18704--18711},
  publisher    = {American Chemical Society},
  title        = {{Evidence of ferroelectric distortions in topological crystalline insulators via transverse thermoelectric measurements}},
  doi          = {10.1021/jacs.5c01700},
  volume       = {147},
  year         = {2025},
}

@article{19785,
  abstract     = {We consider a family of totally asymmetric simple exclusion processes (TASEPs), consisting of particles on a lattice that require binding by a “token” in various physical configurations to advance over the lattice. Using a combination of theory and simulations, we address the following questions: (i) How does token binding kinetics affect the current-density relation on the lattice? (ii) How does this current-density relation depend on the scarcity of tokens? (iii) How do tokens propagate the effects of the locally imposed disorder (such as a slow site) over the entire lattice? (iv) How does a shared pool of tokens couple concurrent TASEPs running on multiple lattices? and (v) How do our results translate to TASEPs with open boundaries that exchange particles with the reservoir? Since real particle motion (including in biological systems that inspired the standard TASEP model, e.g., protein synthesis or movement of molecular motors) is often catalyzed, regulated, actuated, or otherwise mediated, the token-driven TASEP dynamics analyzed in this paper should allow for a better understanding of real systems and enable a closer match between TASEP theory and experimental observations.},
  author       = {Kavcic, Bor and Tkačik, Gašper},
  issn         = {2470-0053},
  journal      = {Physical Review E},
  number       = {5},
  publisher    = {American Physical Society},
  title        = {{Token-driven totally asymmetric simple exclusion processes}},
  doi          = {10.1103/physreve.111.054122},
  volume       = {111},
  year         = {2025},
}

@article{19833,
  abstract     = {Eigenstates of quantum many-body systems are often used to define phases of matter in and out of equilibrium; however, experimentally accessing highly excited eigenstates is a challenging task, calling for alternative strategies to dynamically probe nonequilibrium phases. In this work, we characterize the dynamical properties of a disordered spin chain, focusing on the spin-glass regime. Using tensor-network simulations, we observe oscillatory behavior of local expectation values and bipartite entanglement entropy. We explain these oscillations deep in the many-body localized spin-glass regime via a simple theoretical model. From perturbation theory, we predict the timescales up to which our analytical description is valid and confirm it with numerical simulations. Finally, we study the correlation length dynamics, which, after a long-time plateau, resume growing in line with renormalization group (RG) expectations. Our work suggests that RG predictions can be quantitatively tested against numerical simulations and experiments, potentially enabling microscopic descriptions of dynamical phases in large systems.},
  author       = {Brighi, Pietro and Ljubotina, Marko and Serbyn, Maksym},
  issn         = {2469-9969},
  journal      = {Physical Review B},
  number       = {22},
  publisher    = {American Physical Society},
  title        = {{Probing the many-body localized spin-glass phase through quench dynamics}},
  doi          = {10.1103/9fms-ygfz},
  volume       = {111},
  year         = {2025},
}

@article{19847,
  abstract     = {Prussian blue (PB) and Prussian blue analogues (PBAs) are a class of porous materials composed of transition metal cations, cyanide ligands, and alkali metal cations. Their ability to intercalate and deintercalate ions within their framework pores, coupled with the adaptability of their crystal structure to electrochemical changes, underpins their success in battery applications. PBAs with Fe or Co as the active site exhibit high redox potentials (vs SHE) and have been extensively explored as cathode materials, with well-documented chemistry, crystal structures, and electrochemical properties. In contrast, PBAs with Cr or Mn as the active site display lower redox potentials and remain significantly underexplored as anode materials. This gap has led to fewer reported compounds and a less comprehensive understanding of their structural and electrochemical behavior, leaving the field relatively opaque. In this perspective, we comprehensively analyze the challenges involved in producing and employing PBAs with low redox potentials as active battery materials. Conversely, we propose numerous horizons and ask fundamental questions that should pave the way for future research to advance the field.},
  author       = {Palacios Corella, Mario and Echevarría, Igor and Santana Santos, Carla and Schuhmann, Wolfgang and Ventosa, Edgar and Ibáñez, Maria},
  issn         = {1520-5002},
  journal      = {Chemistry of Materials},
  number       = {12},
  pages        = {4203--4226},
  publisher    = {American Chemical Society},
  title        = {{Prussian blue analogues as anode materials for battery applications: Complexities and horizons}},
  doi          = {10.1021/acs.chemmater.5c00213},
  volume       = {37},
  year         = {2025},
}

