Tootfinder

Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery
Benjamin S. Allen, James Anchell, Victor Anisimov, Thomas Applencourt, Abhishek Bagusetty, Ramesh Balakrishnan, Riccardo Balin, Solomon Bekele, Colleen Bertoni, Cyrus Blackworth, Renzo Bustamante, Kevin Canada, John Carrier, Christopher Chan-nui, Lance C. Cheney, Taylor Childers, Paul Coffman, Susan Coghlan, Michael D'Mello, Murali Emani, Kyle G. Felker, Sam Foreman, Olivier Franza,…

Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery
Aurora is Argonne National Laboratory's pioneering Exascale supercomputer, designed to accelerate scientific discovery with cutting-edge architectural innovations. Key new technologies include the Intel(TM) Xeon(TM) Data Center GPU Max Series (code-named Sapphire Rapids) with support for High Bandwidth Memory (HBM), alongside the Intel(TM) Data Center GPU Max Series (code-named Ponte Vecchio) on each compute node. Aurora also integrates the Distributed Asynchronous Object Storage (DAOS), a nove…

Burnett-level multi-relaxation-time central-moment discrete Boltzmann modeling of reactive flows
Qingbin Wu, Chuandong Lin, Huilin Lai
https://arxiv.org/abs/2507.03877

Burnett-level multi-relaxation-time central-moment discrete Boltzmann modeling of reactive flows
A multi-relaxation-time central-moment discrete Boltzmann method (CDBM) is developed for compressible reactive flows, incorporating the effects of chemical reactions. The Chapman--Enskog multiscale analysis demonstrates that the model recovers the Burnett equations in the hydrodynamic limit, with tunable specific heat ratios and Prandtl numbers. Within the CDBM framework, a unified Boltzmann equation governs the evolution of hydrodynamic variables, thermodynamic quantities, and higher-order cen…

FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data
Bing Han, Chen Zhu, Dong Han, Rui Yu, Songliang Cao, Jianhui Wu, Scott Chapman, Zijian Wang, Bangyou Zheng, Wei Guo, Marie Weiss, Benoit de Solan, Andreas Hund, Lukas Roth, Kirchgessner Norbert, Andrea Visioni, Yufeng Ge, Wenjuan Li, Alexis Comar, Dong Jiang, Dejun Han, Fred Baret, Yanfeng Ding, Hao Lu, Shouyang Liu

FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data
Vision-driven field monitoring is central to digital agriculture, yet models built on general-domain pretrained backbones often fail to generalize across tasks, owing to the interaction of fine, variable canopy structures with fluctuating field conditions. We present FoMo4Wheat, one of the first crop-domain vision foundation model pretrained with self-supervision on ImAg4Wheat, the largest and most diverse wheat image dataset to date (2.5 million high-resolution images collected over a decade a…

GMM-Based Time-Varying Coverage Control
Behzad Zamani, James Kennedy, Airlie Chapman, Peter Dower, Chris Manzie, Simon Crase
https://arxiv.org/abs/2507.18938 https://

GMM-Based Time-Varying Coverage Control
In coverage control problems that involve time-varying density functions, the coverage control law depends on spatial integrals of the time evolution of the density function. The latter is often neglected, replaced with an upper bound or calculated as a numerical approximation of the spatial integrals involved. In this paper, we consider a special case of time-varying density functions modeled as Gaussian Mixture Models (GMMs) that evolve with time via a set of time-varying sources (with known …

Cyclic Division Algebras of Odd Prime Degree are never Amitsur-Small
Adam Chapman, Ilan Levin, Marco Zaninelli
https://arxiv.org/abs/2508.07451 https://arx…

Cyclic Division Algebras of Odd Prime Degree are never Amitsur-Small
A division ring $D$ is Amitsur-Small if for every $n$ and every maximal left ideal $I$ in $D[x_1,\dots,x_n]$, $I \cap D[x_1,\dots,x_{n-1}]$ is maximal in $D[x_1,\dots,x_{n-1}]$. The goal of this note is to prove that cyclic division algebras of odd prime degree over their center are never Amitsur-Small.

Counter-propagating spontaneous parametric down-conversion source in lithium niobate on insulator
Jost Kellner, Alessandra Sabatti, Tristan Kuttner, Robert J. Chapman, Rachel Grange
https://arxiv.org/abs/2506.21396

Counter-propagating spontaneous parametric down-conversion source in lithium niobate on insulator
Quantum photonic technologies rely on the ability to generate, manipulate, and interfere indistinguishable single photons on a scalable platform. Among the various approaches, spontaneous parametric down-conversion (SPDC) remains one of the most widely used methods for generating entangled or pure photon pairs. However most integrated SPDC sources relying on co-propagating geometries have a limited purity of heralded photons, or require lossy filtering. Type-2 SPDC processes can produce pure se…

CFT Complexity and Penalty Factors
Stefano Baiguera, Nicolas Chagnet, Shira Chapman, Osher Shoval
https://arxiv.org/abs/2507.22118 https://arxiv.org/pdf/25…

CFT Complexity and Penalty Factors
Quantum complexity of conformal field theory (CFT) states has recently gained significant attention, both as a diagnostic tool in condensed matter systems and in connection with holographic observables probing black hole interiors. Previous studies have primarily focused on cases where all generators of the conformal group contribute equally to the cost of building a circuit. In this work, we present a general framework for studying the complexity of circuits in generic Lie groups, where penalt…

Mineral Detection of Neutrinos and Dark Matter 2025 Proceedings
Shigenobu Hirose, Patrick Stengel, Natsue Abe, Daniel Ang, Lorenzo Apollonio, Gabriela R. Araujo, Yoshihiro Asahara, Laura Baudis, Pranshu Bhaumik, Nathaniel Bowden, Joseph Bramante, Lorenzo Caccianiga, Mason Camp, Qing Chang, Jordan Chapman, Reza Ebadi, Alexey Elykov, Anna Erickson, Valentin Fondement, Katherine Freese, Shota Futamura, Claudio Galelli, Andrew Gilpin, Takeshi Hanyu, Noriko Hasebe, Adam A. Hecht, Samuel C. …

Mineral Detection of Neutrinos and Dark Matter 2025 Proceedings
The third ``Mineral Detection of Neutrinos and Dark Matter'' (MD$ν$DM'25) meeting was held May 20-23, 2025 in Yokohama, Japan, hosted by the Yokohama Institute for Earth Sciences, Japan Agency for Marine-Earth Science and Technology (JAMSTEC). These proceedings compile contributions from the workshop and update the progress of mineral detector research. MD$ν$DM'25 was the third such meeting, following the first in October of 2022 held at the IFPU in Trieste, Italy and the second in January of…

Choosing and Using Information in Evaluation Decisions
Katherine B. Coffman, Scott Kostyshak, Perihan O. Saygin
https://arxiv.org/abs/2507.13798 https://…

Choosing and Using Information in Evaluation Decisions
We use a controlled experiment to study how information acquisition impacts candidate evaluations. We provide evaluators with group-level information on performance and the opportunity to acquire additional, individual-level performance information before making a final evaluation. We find that, on average, evaluators under-acquire individual-level information, leading to more stereotypical evaluations of candidates. Consistent with stereotyping, we find that (irrelevant) group-level comparison…