Tootfinder

Numerical Investigations of Jet A Hexane Binary Fuel Droplet Impact on a Heated Solid Surface
Arghya Paul, Kanak Raj, Pratim Kumar
https://arxiv.org/abs/2509.13225 https://

Numerical Investigations of Jet A Hexane Binary Fuel Droplet Impact on a Heated Solid Surface
In the present work, Jet A-Hexane binary fuel droplet impact dynamics on heated solid surfaces were studied numerically. This study is crucial for practical applications such as fuel injection in combustors and thermal management of engine components. Volume of fluid (VOF) method was used to analyse the impact dynamics, spreading behaviour, vaporisation, and heat transfer of n-hexane and Jet-A blended fuel droplets on heated stainless-steel surfaces. Droplet impact dynamics were investigated fo…

Thermal Degradation Mechanisms and Stability Enhancement Strategies in Perovskite Solar Cells: A Review
Arghya Paul, Kanak Raj, Prince Raj Lawrence Raj, Pratim Kumar
https://arxiv.org/abs/2509.13700

Thermal Degradation Mechanisms and Stability Enhancement Strategies in Perovskite Solar Cells: A Review
Perovskite Solar Cells (PSCs) have garnered global research interest owing to their superior photovoltaic (PV) performance. The future of photovoltaic technology lies in PSCs since they can produce power with performance on par with the best silicon solar cells while being less expensive. PSCs have enormous potential; in just ten years, their efficiency increased from 3.8% to 25.2%, and research into new developments is still ongoing. Thermal instability is PSCs' main disadvantage, despite thei…

Sandwich Construction of Symmetry TFTs for the Centre Symmetries of Chern-Simons, Yang-Mills, and Einstein Gravity
Leron Borsten, Dimitri Kanakaris, Hyungrok Kim
https://arxiv.org/abs/2509.08819

Sandwich Construction of Symmetry TFTs for the Centre Symmetries of Chern-Simons, Yang-Mills, and Einstein Gravity
We construct symmetry topological field theories (SymTFTs) using the sandwich construction of Pulmann-Ševera-Valach that manifest the centre symmetries of Chern-Simons theory and Yang-Mills theory as well as general relativity in the MacDowell-Mansouri formulation. The 'filling' of the sandwich is an AKSZ sigma model whose target space is a Weil algebra, augmented with discrete degrees of freedom given by a choice of topological boundary condition.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents
Raaghav Malik, Satpreet H. Singh, Sonja Johnson-Yu, Nathan Wu, Roy Harpaz, Florian Engert, Kanaka Rajan
https://arxiv.org/abs/2510.03699

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents
Larval zebrafish hunting provides a tractable setting to study how ecological and energetic constraints shape adaptive behavior in both biological brains and artificial agents. Here we develop a minimal agent-based model, training recurrent policies with deep reinforcement learning in a bout-based zebrafish simulator. Despite its simplicity, the model reproduces hallmark hunting behaviors -- including eye vergence-linked pursuit, speed modulation, and stereotyped approach trajectories -- that c…

ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems
Yankai Jiang, Raghavendra Kanakagiri, Rohan Basu Roy, Devesh Tiwari
https://arxiv.org/abs/2510.00471

ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems
High-performance computing (HPC) systems are becoming increasingly water-intensive due to their reliance on water-based cooling and the energy used in power generation. However, the water footprint of HPC remains relatively underexplored-especially in contrast to the growing focus on carbon emissions. In this paper, we present ThirstyFLOPS - a comprehensive water footprint analysis framework for HPC systems. Our approach incorporates region-specific metrics, including Water Usage Effectiveness,…

SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
Xiang Deng, Jeff Da, Edwin Pan, Yannis Yiming He, Charles Ide, Kanak Garg, Niklas Lauffer, Andrew Park, Nitin Pasari, Chetan Rane, Karmini Sampath, Maya Krishnan, Srivatsa Kundurthy, Sean Hendryx, Zifan Wang, Chen Bo Calvin Zhang, Noah Jacobson, Bing Liu, Brad Kenstler
https://

SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
We introduce SWE-Bench Pro, a substantially more challenging benchmark that builds upon the best practices of SWE-BENCH [25], but is explicitly designed to capture realistic, complex, enterprise-level problems beyond the scope of SWE-BENCH. SWE-BENCH PRO contains 1,865 problems sourced from a diverse set of 41 actively maintained repositories spanning business applications, B2B services, and developer tools. The benchmark is partitioned into a public set with open access to problems sourced fro…

Twisted Homotopy Algebras: Supersymmetric Twists, Spontaneous Symmetry Breaking, Anomalies and Localisation
Leron Borsten, Simon Jonsson, Dimitri Kanakaris, Hyungrok Kim
https://arxiv.org/abs/2508.05134

Twisted Homotopy Algebras: Supersymmetric Twists, Spontaneous Symmetry Breaking, Anomalies and Localisation
Twisting and classical background fields are two foundational techniques in supersymmetric quantum field theory, central to developments ranging from the Higgs mechanism to topological twisting and supersymmetric localisation. While traditionally treated as distinct procedures, they appear on an equal footing in the homotopy-algebraic approach to quantum field theory. In this work, we formalise this connection by interpreting both twisting and the introduction of classical backgrounds as instan…

Bridging the Synthesizability Gap in Perovskites by Combining Computations, Literature Data, and PU Learning
Rushik Desai, Junyeong Ahn, Alejandro Strachan, Arun Mannodi-Kanakkithodi
https://arxiv.org/abs/2510.06166

Bridging the Synthesizability Gap in Perovskites by Combining Computations, Literature Data, and PU Learning
Among emerging energy materials, halide and chalcogenide perovskites have garnered significant attention over the last decade owing to the abundance of their constituent species, low manufacturing costs, and their highly tunable composition-structure-property space. Navigating the vast perovskite compositional landscape is possible using density functional theory (DFT) computations, but they are not easily extended to predictions of the synthesizability of new materials and their properties. As…

The AstroSat UV Deep Field South-V: Constraints on the average escape of ionizing photons in the cosmic dusk
Soumil Maulick, Kanak Saha
https://arxiv.org/abs/2508.20011 https://…

The AstroSat UV Deep Field South-V: Constraints on the average escape of ionizing photons in the cosmic dusk
We investigate the escape of ionizing (Lyman-continuum; LyC) photons from 49 star-forming galaxies at redshifts $\sim 1-1.5$, using far-ultraviolet (FUV) imaging from the Ultra-Violet Imaging Telescope (UVIT) onboard AstroSat. The sample spans a wide range of stellar masses and UV luminosities. LyC emission is undetected in most galaxies (42/49), and stacking these galaxies yields only an upper limit on the observed LyC-to-nonionizing UV flux density ratio ($({F}_{λ,\rm{LyC}}/{F}_{λ,\rm{UV}})…

Symmetries Beget Symmetries: Ghostly Higher-Form Symmetries and the Descent Equation
Leron Borsten, Dimitri Kanakaris, Hyungrok Kim
https://arxiv.org/abs/2509.15978 https://

Symmetries Beget Symmetries: Ghostly Higher-Form Symmetries and the Descent Equation
Viewed through the lens of the Batalin-Vilkovisky formalism, we demonstrate that higher-form currents with nonzero ghost number also define higher-form symmetries, directly analogous to the standard higher-form symmetries with ghost number zero. These ghostly higher symmetries descend from and into conventional higher-form symmetries via chains of descent equations familiar from the theory of anomalies and topological field theories. We give examples of such chains of ghostly symmetries in Maxw…