Tootfinder

Björn Müller, researcher at #MPSGoettingen and #IMPRS at #UniGoettingen graduate, has been awarded the Otto Hahn Medal for outstanding achievements in his dissertation. The

Quadratic Programming-Based Posture Manipulation and Thrust-vectoring for Agile Dynamic Walking on Narrow Pathways
Chenghao Wang, Eric Sihite, Kaushik Venkatesh Krishnamurthy, Shreyansh Pitroda, Adarsh Salagame, Alireza Ramezani, Morteza Gharib
https://arxiv.org/abs/2507.23203

Quadratic Programming-Based Posture Manipulation and Thrust-vectoring for Agile Dynamic Walking on Narrow Pathways
There has been significant advancement in legged robot's agility where they can show impressive acrobatic maneuvers, such as parkour. These maneuvers rely heavily on posture manipulation. To expand the stability and locomotion plasticity, we use the multi-modal ability in our legged-aerial platform, the Husky Beta, to perform thruster-assisted walking. This robot has thrusters on each of its sagittal knee joints which can be used to stabilize its frontal dynamic as it walks. In this work, we pe…

White sausage party in the desert 🙂
Burning Man 2025 census: Middle-aged, highly educated, mostly white
#BurningMan

The Xeno Sutra: Can Meaning and Value be Ascribed to an AI-Generated "Sacred" Text?
Murray Shanahan, Tara Das, Robert Thurman
https://arxiv.org/abs/2507.20525 https://…

The Xeno Sutra: Can Meaning and Value be Ascribed to an AI-Generated "Sacred" Text?
This paper presents a case study in the use of a large language model to generate a fictional Buddhist "sutr"', and offers a detailed analysis of the resulting text from a philosophical and literary point of view. The conceptual subtlety, rich imagery, and density of allusion found in the text make it hard to causally dismiss on account of its mechanistic origin. This raises questions about how we, as a society, should come to terms with the potentially unsettling possibility of a technology th…

Collective communication in a transparent world: Phase transitions in a many-body Potts model and social-quantum duality
Pawat Akarapipattana, Sergei Nechaev, Bogdan Slavov
https://arxiv.org/abs/2508.20267

Collective communication in a transparent world: Phase transitions in a many-body Potts model and social-quantum duality
We consider the Schelling-like social competition reflected in "dynamics of opinions" among groups of agents ("communities") in a highly transparent world. Specifically, we investigate a $q$-state Potts spin system with competing two- and three-body interactions on a complete graph. Agents interact through pairwise repulsion (opposing opinions) between different communities and three-body attraction (shared opinions) within the same community. In the thermodynamic limit, we identify variants of…

The Phases of Chaos
Tarek Anous, Diego M. Hofman
https://arxiv.org/abs/2506.20542 https://arxiv.org/pdf/2506.20542

The Phases of Chaos
We develop a novel physical picture to understand certain universal properties of the GUE matrix model which are typically ascribed to quantum chaos, i.e. the ramp and the plateau. We argue that these features should instead be associated with a pattern of spontaneous (or weak explicit) symmetry breaking. In this language, the GUE matrix model corresponds to an effective theory that describes the symmetry-broken phase, and where the Hermitian matrix of the GUE should be understood as a massive …

Flow-dependent tagging of $^{214}$Pb decays in the LZ dark matter detector
J. Aalbers, D. S. Akerib, A. K. Al Musalhi, F. Alder, C. S. Amarasinghe, A. Ames, T. J. Anderson, N. Angelides, H. M. Ara\'ujo, J. E. Armstrong, M. Arthurs, A. Baker, S. Balashov, J. Bang, J. W. Bargemann, E. E. Barillier, K. Beattie, T. Benson, A. Bhatti, T. P. Biesiadzinski, H. J. Birch, E. Bishop, G. M. Blockinger, B. Boxer, C. A. J. Brew, P. Br\'as, S. Burdin, M. C. Carmona-Benitez, M. Carter, A. Cha…

Flow-dependent tagging of $^{214}$Pb decays in the LZ dark matter detector
The LUX-ZEPLIN (LZ) experiment is searching for dark matter interactions in a liquid xenon time projection chamber (LXe-TPC). This article demonstrates how control of the flow state in the LXe-TPC enables the identification of pairs of sequential alpha-decays, which are used to map fluid flow and ion drift in the liquid target. The resulting transport model is used to tag $^{214}$Pb beta-decays, a leading background to dark matter signals in LZ. Temporally evolving volume selections, at a cost …

Correlation Enhanced Autonomous Quantum Battery Charging via Structured Reservoirs
Achraf khoudiri, Khadija El Anouz, Abderrahim El Allati
https://arxiv.org/abs/2508.18086 https…

Correlation Enhanced Autonomous Quantum Battery Charging via Structured Reservoirs
We study the charging dynamics of a quantum battery coupled to a structured reservoir composed of two qubits, each in thermal equilibrium with its own bosonic bath. The structured reservoir interacts with a charger battery model through three distinct configurations: (I) direct coupling between the reservoir qubits and the battery, (II) common coupling between the reservoir qubits, the charger, and the battery, and (III) common coupling between the reservoir qubits and the charger, together wit…

A Koopman Operator Framework for Nonlinear Epidemic Dynamics: Application to an SIRSD Model
Achraf Zinihi, Matthias Ehrhardt, Moulay Rchid Sidi Ammi
https://arxiv.org/abs/2508.16766

A Koopman Operator Framework for Nonlinear Epidemic Dynamics: Application to an SIRSD Model
We develop and analyze an SIRSD epidemic model, which extends the classical SIR framework by incorporating waning immunity and disease-induced mortality. A rigorous well-posedness analysis ensures the existence, uniqueness, positivity, and boundedness of solutions, guaranteeing the model's epidemiological feasibility. To facilitate theoretical investigations and data-driven modeling, we reformulated the system in normalized variables. To capture and predict complex nonlinear epidemic dynamics, …

Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network
Mahin Montasir Afif, Abdullah Al Noman, K. M. Tahsin Kabir, Md. Mortuza Ahmmed, Md. Mostafizur Rahman, Mufti Mahmud, Md. Ashraful Babu
https://arxiv.org/abs/2506.17165

Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network
Generative Adversarial Networks (GAN) have shown potential in expanding limited medical imaging datasets. This study explores how different ratios of GAN-generated and real brain tumor MRI images impact the performance of a CNN in classifying healthy vs. tumorous scans. A DCGAN was used to create synthetic images which were mixed with real ones at various ratios to train a custom CNN. The CNN was then evaluated on a separate real-world test set. Our results indicate that the model maintains hig…