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Physics Preprint PDF DOI

Multimode grating couplers via foundry-compliant inverse design

Hao Li, Nazar Pyvovar, Zhaowei Dai, Owen D. Miller · 2026

We apply a systematic inverse design approach to discover foundry-compliant, multilayer grating couplers that can efficiently couple a number of independent waves from free space to on-chip propagatin…

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Physics Preprint PDF DOI

Pulsation-driven helium transport as a potential source of the Blazhko effect

Geza Kovacs · 2026

We present a highly simplified nonlinear hydrodynamical model to emulate the main observed features of amplitude modulation (commonly known as Blazhko effect) in RR Lyrae stars. The model is based on …

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Computer Science Preprint PDF DOI

Affinity Tailor: Dynamic Locality-Aware Scheduling at Scale

Jin Xin Ng, Ori Livneh, Richard O'Grady, Josh Don, Peng Ding, Samuel Grossman, Luis Otero, Chris Kennelly, David Lo, Carlos Villavieja · 2026

Modern large multicore systems often run multiple workloads that share CPUs under schedulers such as Linux CFS. To keep CPUs busy, these schedulers load-balance runnable work, causing each workload to…

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Physics Preprint PDF DOI

A perturbative Liouville prescription for the celestial three-gluon amplitude

Grzegorz Biskowski, Franco Ferrari, Marcin R. Piatek, Artur R. Pietrykowski · 2026

We study the celestial three-gluon amplitude in a dilaton background through the Mellin-Liouville formulation proposed by Stieberger, Taylor and Zhu (STZ). The original map contains an ambiguity in th…

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Mathematics Preprint PDF DOI

Jump It\^o-type formula with arbitrary regularity

Nannan Li, Xing Gao · 2026

We establish an It\^o-type formula for finite $p$-variation paths with jumps for arbitrary $p\geq 1$. The formula is stated in a fully pathwise form and separates the reduced rough integral from expli…

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Physics Preprint PDF DOI

Schwinger-Keldysh Path Integral for Gauge theories

Greg Kaplanek, Maria Mylova, Andrew J. Tolley · 2026

We develop the Schwinger-Keldysh path-integral formalism for open non-Abelian gauge theories that are gauge-fixed via the BRST method in covariant gauges. We focus on generic initial states, pure and …

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Mathematics Preprint PDF DOI

Data assimilation for slightly compressible flow

Aytekin C{i}b{i}k, Rui Fang · 2026

Continuous data assimilation (CDA) nudges observational data into governing equations to recover the underlying flow and improve predictions. Existing rigorous CDA analyses focus primarily on incompre…

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Computer Science Preprint PDF DOI

LLM-Guided Runtime Parameter Optimization for Energy-Efficient Model Inference

Katelyn Crumpacker, Dimitrios Nikolopoulos · 2026

Large Language Models (LLMs) have become an integral part of many real-world workflows. However, LLMs consume a lot of energy, which becomes a large concern in the scale of the demand for these tools.…

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Physics Preprint PDF DOI

TMC-1: probing the onset of chemical complexity in space

Marcelino Agundez, Jose Cernicharo · 2026

In recent years, the obsessive interest in the observation of TMC-1 has brought a boost in our knowledge of the chemistry of cold dark clouds. The number of molecules detected in this particular cloud…

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Mathematics Preprint PDF DOI

Accelerated Backward Forward Method for Convex Optimization

Zepeng Wang, Juan Peypouquet · 2026

We analyze the convergence rate of an accelerated backward forward method for solving convex composite optimization problems. The method was developed by Taylor, Hendrickx and Glineur, and is differen…

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Computer Science Preprint PDF DOI

Rank Distribution and Dynamics of Gram Matrices from Binary m-Sequences with Applications to LCD Codes

Hengfeng Liu, Chunming Tang, Cuiling Fan, Zhengchun Zhou · 2026

The Gram matrix is a classical object formed from the pairwise inner products of a collection of vectors, with fundamental roles in functional analysis, statistics, combinatorics, and coding theory. I…

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Mathematics Preprint PDF DOI

On a conjecture of distance spectral extremal problems

Hongzhang Chen, Jianxi Li, Yongtao Li · 2026

Brualdi and Hoffman proposed a well-known problem of determining the graph with maximum adjacency spectral radius among all graphs with given size $m$. Early work by Friedland and Stanley addressed so…

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Computer Science Preprint PDF DOI

Three Models of RLHF Annotation: Extension, Evidence, and Authority

Steve Coyne · 2026

Preference-based alignment methods, most prominently Reinforcement Learning with Human Feedback (RLHF), use the judgments of human annotators to shape large language model behaviour. However, the norm…

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Physics Preprint PDF DOI

Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane

Pahal D. Patel, Sanmay Ganguly · 2026

Graph neural networks such as ParticleNet and transformer based networks on point clouds such as ParticleTransformer achieve state-of-the-art performance on jet tagging benchmarks at the Large Hadron …

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AI & Data Science Preprint PDF DOI

Towards interpretable AI with quantum annealing feature selection

Francesco Aldo Venturelli, Emanuele Costa, Sikha O K, Bruno Julia-Diaz, Miguel A. Gonzalez Ballester, Alba Cervera-Lierta · 2026

Deep learning models are used in critical applications, in which mistakes can have serious consequences. Therefore, it is crucial to understand how and why models generate predictions. This understand…

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Physics Preprint PDF DOI

Local tensor-train surrogates for quantum learning models

Sreeraj Rajindran Nair, Christopher Ferrie · 2026

A key bottleneck in quantum machine learning is the computational cost of repeated quantum circuit evaluations during the inference phase. To address this, we present a framework for constructing fast…

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Mathematics Preprint PDF DOI

A sharp-interface model for solid-state dewetting with wetting potential

Weijie Huang, Xinran Ruan · 2026

We propose a sharp-interface model for solid-state dewetting of thin films with wetting potential, where the wetting effect is incorporated through a thickness-dependent surface energy. The model is g…

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Mathematics Preprint PDF DOI

Quantitative Analyticity for Lyapunov Exponents of Random Products of Matrices with Explicit Polydiscs and Cauchy Coefficient Bounds

Abdoulaye Thiam · 2026

The top Lyapunov exponent $\lambda_+(A, p)$ of a random product of matrices in $\mathrm{GL}(d, \mathbb{R})$, $d \geq 2$, with simple top spectrum, depends real-analytically on the probability weights …

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Mathematics Preprint PDF DOI

Parametric Statistical Inference in the Zone of Moderate Deviation Probabilities

Mikhail Ermakov · 2026

A parametric theory of statistical inference is developed for the moderate deviation probability zone. The new approach to the proofs is based on the Taylor series expansion of the logarithm of the li…

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Physics Preprint PDF DOI

Microstructure engineering of Ti-6Al-4V in laser powder bed fusion via 1D thermal modeling and supporting experiments

Carina van der Linde, Iason Sideris, Lea Deillon, Mohamadreza Afrasiabi, Markus Bambach · 2026

The microstructure of Ti-6Al-4V has a decisive impact on its mechanical performance; however, controlling phase composition during Laser Powder Bed Fusion (LPBF) remains difficult because of the inher…

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