Tootfinder

ArgoLOOM: agentic AI for fundamental physics from quarks to cosmos
S. D. Bakshi, P. Barry, C. Bissolotti, I. Cloet, S. Corrodi, Z. Djurcic, S. Habib, K. Heitmann, T. J. Hobbs, W. Hopkins, S. Joosten, B. Kriesten, N. Ramachandra, A. Wells, M. Zurek
https://arxiv.org/abs/2510.02426

ArgoLOOM: agentic AI for fundamental physics from quarks to cosmos
Progress in modern physics has been supported by a steadily expanding corpus of numerical analyses and computational frameworks, which in turn form the basis for precision calculations and baseline predictions in experimental programs. These tools play a central role in navigating a complex landscape of theoretical models and current and potential observables to identify and understand fundamental interactions in physics. In addition, efforts to search for new fundamental interactions increasin…

Conversational Implicatures: Modelling Relevance Theory Probabilistically
Christoph Unger, Hendrik Buschmeier
https://arxiv.org/abs/2509.22354 https://arxi…

Conversational Implicatures: Modelling Relevance Theory Probabilistically
Recent advances in Bayesian probability theory and its application to cognitive science in combination with the development of a new generation of computational tools and methods for probabilistic computation have led to a 'probabilistic turn' in pragmatics and semantics. In particular, the framework of Rational Speech Act theory has been developed to model broadly Gricean accounts of pragmatic phenomena in Bayesian terms, starting with fairly simple reference games and covering ever more compl…

A meshless method for computational electromagnetics with improved dispersion properties
Andrej Kolar-Po\v{z}un, Gregor Kosec
https://arxiv.org/abs/2508.18205 https://

A meshless method for computational electromagnetics with improved dispersion properties
The finite difference time domain method is one of the most popular methods in computational electromagnetics. This work considers two possible ways of generalising it to a meshless setting by employing local radial basis function interpolation. The resulting methods turn out to be unstable, but can be stabilised by adding properly chosen hyperviscosity terms to the update equations. We demonstrate that the proposed meshless methods are convergent and can enjoy a decreased dispersion anisotropy…

On the Rheology of Two-Dimensional Dilute Emulsions
Thomas Appleford, Vatsal Sanjay, Maziyar Jalaal
https://arxiv.org/abs/2508.13022 https://arxiv.org/pdf/…

On the Rheology of Two-Dimensional Dilute Emulsions
The single droplet under shear is a foundational problem in fluid mechanics. In computational fluid dynamics, the two-dimensional (2D) formulation offers advantages in both computational efficiency and relevance, yet its theoretical treatment remains relatively underdeveloped. In this brief note, we present an analytical treatment of this problem, beginning with a derivation of the Lamb solution for 2D Stokes flows, which in turn is used to obtain the flow fields around a droplet in a purely ex…

Feynman Integral Reduction using Syzygy-Constrained Symbolic Reduction Rules
Sid Smith, Mao Zeng
https://arxiv.org/abs/2507.11140 https://

Feynman Integral Reduction using Syzygy-Constrained Symbolic Reduction Rules
We present a new algorithm for integration-by-parts (IBP) reduction of Feynman integrals with high powers of numerators or propagators, a demanding computational step in evaluating multi-loop scattering amplitudes. The algorithm starts with solving syzygy equations in individual sectors to produce IBP operators that turn seed integrals into IBP equations without artificially raised propagator powers. The IBP operators are expressed in terms of index-shift operators and number operators. We perf…