Tootfinder

Identification of pressure points in modern power systems using transfer entropy
Katerina Tang, M. Vivienne Liu, C. Lindsay Anderson, Vivek Srikrishnan
https://arxiv.org/abs/2508.08513

Identification of pressure points in modern power systems using transfer entropy
Integration of variable energy resources -- e.g., solar, wind, and hydro -- and end-use electrification increase modern energy systems' weather-dependence. Identifying critical infrastructure constraining the power grid's ability to meet electricity demand under weather-induced shocks and stressors is essential for understanding risks and guiding adaptation. We use transfer entropy to identify predictive pressure points: grid components whose utilization patterns provide early signals of downst…

Collaborative Medical Triage under Uncertainty: A Multi-Agent Dynamic Matching Approach
Hongyan Cheng, Chengzhang Yu, Yanshu Shi, Chiyue Wang, Cong Liu, Zhanpeng Jin
https://arxiv.org/abs/2507.22504

Collaborative Medical Triage under Uncertainty: A Multi-Agent Dynamic Matching Approach
The post-pandemic surge in healthcare demand, coupled with critical nursing shortages, has placed unprecedented pressure on emergency department triage systems, necessitating innovative AI-driven solutions. We present a multi-agent interactive intelligent system for medical triage that addresses three fundamental challenges in current AI-based triage systems: insufficient medical specialization leading to hallucination-induced misclassifications, heterogeneous department structures across healt…

Petri Net Modeling and Deadlock-Free Scheduling of Attachable Heterogeneous AGV Systems
Boyu Li, Zhengchen Li, Weimin Wu, Mengchu Zhou
https://arxiv.org/abs/2508.00724 https://

Petri Net Modeling and Deadlock-Free Scheduling of Attachable Heterogeneous AGV Systems
The increasing demand for automation and flexibility drives the widespread adoption of heterogeneous automated guided vehicles (AGVs). This work intends to investigate a new scheduling problem in a material transportation system consisting of attachable heterogeneous AGVs, namely carriers and shuttles. They can flexibly attach to and detach from each other to cooperatively execute complex transportation tasks. While such collaboration enhances operational efficiency, the attachment-induced sync…

Hierarchical Bayesian Operator-induced Symbolic Regression Trees for Structural Learning of Scientific Expressions
Somjit Roy, Pritam Dey, Debdeep Pati, Bani K. Mallick
https://arxiv.org/abs/2509.19710

Hierarchical Bayesian Operator-induced Symbolic Regression Trees for Structural Learning of Scientific Expressions
The advent of Scientific Machine Learning has heralded a transformative era in scientific discovery, driving progress across diverse domains. Central to this progress is uncovering scientific laws from experimental data through symbolic regression. However, existing approaches are dominated by heuristic algorithms or data-hungry black-box methods, which often demand low-noise settings and lack principled uncertainty quantification. Motivated by interpretable Statistical Artificial Intelligence,…

Maintaining Routing Structures under Deletions via Self-Pruning
Bernhard Haeupler, Antti Roeyskoe
https://arxiv.org/abs/2507.13044 https://

Maintaining Routing Structures under Deletions via Self-Pruning
Expanders are powerful algorithmic structures with two key properties: they are a) routable: for any multi-commodity flow unit demand, there exists a routing with low congestion over short paths, where a demand is unit if the amount of demand sent / received by any vertex is at most the number of edges adjacent to it. b) stable / prunable: for any (sequence of) edge failures, there exists a proportionally small subset of vertices that can be disabled, such that the graph induced on the rema…

Pressure-Induced Low-Spin State Destabilization and Piezo-Chromic Effect in an Iron(II) Spin Crossover Complex with Pyrazol-Pyridine-Triazolate Coordination Core
Hanlin Yu, Maksym Seredyuk, Nan Ma, Katerina Znoviak, Nikita Liedienov, M. Carmen Mu\~noz, Iv\'an da Silva, Francisco-Javier Valverde Mu\~noz, Ricardo-Guillermo Torres Ram\'irez, Elzbieta Trzop, Wei Xu, Quanjun Li, Bingbing Liu, Georgiy Levchenko, J. Antonio Real

Pressure-Induced Low-Spin State Destabilization and Piezo-Chromic Effect in an Iron(II) Spin Crossover Complex with Pyrazol-Pyridine-Triazolate Coordination Core
Rapidly developing science and technology demand new materials with versatile and promising properties for practical applications. In this context, pseudo-octahedral iron(II) spin crossover (SCO) complexes are particularly appealing - not only for their fundamental scientific interest but also for their potential as key components in the development of multifunctional switchable molecular materials and novel technological applications. This work presents the synthesis and structure of a new mon…

Radiation-induced Ionization Effects and Space Mission Requirements for Silicon Photonic Mach-Zehnder Modulators
Kellen P. Arnold, Joel B. Slaby, Nathaniel J. Karom, Anurag R. Veluri, C. Alex Kaylor, Andrew L. Sternberg, Dennis R. Ball, Ronald D. Schrimpf, Daniel M. Fleetwood, Stephen E. Ralph, Robert A. Reed, Sharon M. Weiss
https://arxiv…

Radiation-induced Ionization Effects and Space Mission Requirements for Silicon Photonic Mach-Zehnder Modulators
Photonic integrated circuits have become essential for meeting the growing global demand for high-capacity information processing and transport. Assessing their radiation tolerance is essential for deploying systems in radiation prone environments - including in space, high-energy particle accelerators, and defense radiation testing facilities - where the performance and compactness of photonic integrated circuits are increasingly advantageous. This work investigates the analog and digital radi…