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Showing 164887 results for "computing methodologies"
Physics Preprint PDF DOI

Propagation, generation, and utilization of topologically trivial magnetic solitons in magnetic nanowires

Kai-Tao Huang, X.S. Wang ยท 2026

Magnetic solitons are nonlinear, local excitations in magnetic systems. In this study, we theoretically and numerically investigate the properties and generation of one-dimensional (1D) topologically โ€ฆ

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Physics Preprint PDF DOI

BEACON: JWST NIRCam Pure-parallel Imaging Survey. III. Constraints on the UV LF and the Clustering of z~7-14 Galaxies

Kimi C. Kreilgaard, Charlotte A. Mason, Takahiro Morishita, Yechi Zhang, Viola Gelli, Nicha Leethochawalit, Tommaso Treu, Michele Trenti, Abdurro'uf, Hakim Atek, Marusa Bradac, Larry D. Bradley, Andrew J. Bunker, Novan Saputra Haryana, Matthew J. Hayes, Zhaoran Liu, Vihang Mehta, Marc Rafelski, Guido Roberts-Borsani, Claudia Scarlata, Massimo Stiavelli, Ryo A. Sutanto, Kosuke Takahashi, Benedetta Vulcani ยท 2026

The James Webb Space Telescope (JWST) has extended the frontier of galaxy detection to redshifts z>11, finding a high abundance of UV-bright sources that challenge theoretical models. However, most cuโ€ฆ

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Physics Preprint PDF DOI

State-Averaged Quantum Algorithms for Multiconfigurational Surface Chemistry: A Benchmark on Rh@TiO2(110)

Ernst Dennis L{ae}gteskov Binau Larsson, Erik Kjellgren, Peter Reinholdt, Jacob Kongsted ยท 2026

Accurate modeling of surface catalytic processes often requires methods capable of describing strong correlation, charge transfer, and multiple closely lying electronic states. While density functionaโ€ฆ

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Economics & Finance Preprint PDF DOI

Optimal linear-payment auction design with aftermarket collaboration

Dazhong Wang, Ruqu Wang, Xinyi Xu ยท 2026

This paper studies optimal auction design when valuations depend endogenously on post-auction collaboration between the seller and the winning bidder. Both parties exert non-contractible efforts afterโ€ฆ

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Mathematics Preprint PDF DOI

On Spielman's Laplacian Eigenratio Conjecture and Related Problems

Jie Ma, Quanyu Tang, Yuchang Wang, Zhiheng Zheng ยท 2026

Let $G$ be an $n$-vertex graph with Laplacian eigenvalues $0=\lambda_1(G)\le \lambda_2(G)\le\cdots\le \lambda_n(G)$. Motivated by the Alon-Boppana bound and the Ramanujan phenomenon for regular graphsโ€ฆ

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Physics Preprint PDF DOI

Ground state preparation in $(2+1)$-dimensional pure $\mathbb{Z}_2$ lattice gauge theory via deterministic quantum imaginary time evolution

Minoru Sekiyama, Lento Nagano ยท 2026

In this paper, we apply the deterministic quantum imaginary time evolution (QITE) algorithm to obtain the ground state of a $2+1$-dimensional pure $\mathbb{Z}_2$ lattice gauge theory. We first construโ€ฆ

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AI & Data Science Preprint PDF DOI

M100: An Orchestrated Dataflow Architecture Powering General AI Computing

Yan Xie, Changkui Mao, Changsong Wu, Chao Lu, Chao Suo, Cheng Qian, Chun Yang, Danyang Zhu, Hengchang Xiong, Hongzhan Lu, Hongzhen Liu, Jiafu Liu, Jie Chen, Jie Dai, Junfeng Tang, Kai Liu, Kun Li, Lipeng Ge, Meng Sun, Min Luo, Peng Chen, Peng Wang, Shaodong Yang, Shibin Tang, Shibo Chen, Weikang Zhang, Xiao Ling, Xiaobo Du, Xin Wu, Yang Liu, Yi Jiang, Yihua Jin, Yin Huang, Yuli Zhang, Zhen Yuan, Zhiyuan Man, Zhongxiao Yao ยท 2026

As deep learning-based AI technologies gain momentum, the demand for general-purpose AI computing architectures continues to grow. While GPGPU-based architectures offer versatility for diverse AI workโ€ฆ

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Computer Science Preprint PDF DOI

AsyncSparse: Accelerating Sparse Matrix-Matrix Multiplication on Asynchronous GPU Architectures

Jie Liu, Huanzhi Pu, Zhiru Zhang ยท 2026

Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental kernel across scientific computing and machine learning. While prior work accelerates SpMM using Tensor Cores, no existing sparse kernel expโ€ฆ

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AI & Data Science Preprint PDF DOI

WebSerial Vision Training for Microcontrollers: A Browser-Based Companion to On-Device CNN Training

Jeremy Ellis ยท 2026

This paper presents webmcu-vision-web, a single-file, zero-install browser application for end-to-end TinyML vision model training and deployment on the Seeed Studio XIAO ESP32-S3 Sense (XIAO ML Kit, โ€ฆ

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AI & Data Science Preprint PDF DOI

GR4CIL: Gap-compensated Routing for CLIP-based Class Incremental Learning

Tianqi Wang, Jingcai Guo ยท 2026

Class-Incremental Learning (CIL) aims to continuously acquire new categories while preserving previously learned knowledge. Recently, Contrastive Language-Image Pre-trained (CLIP) models have shown stโ€ฆ

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Computer Science Preprint PDF DOI

Raven: Rethinking Automated Assessment for Scratch Programs via Video-Grounded Evaluation

Donglin Li, Daming Li, Hanyuan Shi, Jialu Zhang ยท 2026

Block-based programming environments such as Scratch are widely used in introductory computing education, yet scalable and reliable automated assessment remains elusive. Scratch programs are highly heโ€ฆ

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Engineering Preprint PDF DOI

Kill-Probability-Maximization Guidance: Breaking from the Miss-Distance-Minimization Paradigm

Liraz Mudrik, Yaakov Oshman ยท 2026

Classical guidance laws aim at minimizing the miss distance, thus implicitly determining the minimum warhead lethality radius required against nominal targets. However, nonnominal targets or scenariosโ€ฆ

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Mathematics Preprint PDF DOI

Commuting Toeplitz operators with biharmonic symbols

Aissa Bouhali, Issam Louhichi, Abdelrahman Yousef ยท 2026

We investigate the commutant problem for Toeplitz operators on the Bergman space of the unit disk whose symbols belong to a subclass of biharmonic functions. We obtain a complete characterization of wโ€ฆ

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Computer Science Preprint PDF DOI

Party Autonomy in Determining the Law Applicable to Non-contractual Obligations concerning Cross-Border Data Transfers

Yuki Okamura, Ren Yatsunami, Kumiko Kameishi, Oliver Posani, Soma Araoka, Miho Ikeda, Makiko Aoyagi ยท 2026

(1)Cross-border data transfers have become a matter of daily occurrence against the backdrop of the development of cloud computing and artificial intelligence. Consequently, where a data leak gives riโ€ฆ

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Mathematics Preprint PDF DOI

Explicit Kodaira-Spencer maps over PEL Shimura varieties

Ziqi Guo ยท 2026

The goal of our work is to construct a class of morphisms between two canonical line bundles on integral models of PEL Shimura varieties via Kodaira--Spencer maps, and explicitly compute such morphismโ€ฆ

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Physics Preprint PDF DOI

Exploring Polarized Millimeter Emission from Protoplanetary Disks with Irregular Dust Grains

Jesus Miguel Jaquez-Dominguez, Carlos Carrasco-Gonzalez, Daniel Guirado, Olga Munoz, Enrique Macias, Gonzalo Vargas, Julia Martikainen ยท 2026

Polarization at millimeter wavelengths provides a powerful diagnostic of dust grain properties in protoplanetary disks. Standard models based on solid spherical grains often struggle to reproduce the โ€ฆ

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Mathematics Preprint PDF DOI

The Cactus Criterion: When Nonlinear Hodge Theory Reduces to Linear on Graphs

Sebastian Pardo-Guerra, Anil Thapa, Jonathan Washburn ยท 2026

Let $G$ be a finite connected simple graph with a chosen orientation of its edges. For the edge potential $\psi(t)=\cosh t-1,$ we minimize $\sum_{e\in E^\to}\psi(z_e)$ over each affine class $\omega+dโ€ฆ

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AI & Data Science Preprint PDF DOI

Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents

Yingtao Tian ยท 2026

LLM agents in markets present algorithmic collusion risks. While prior work shows LLM agents reach supracompetitive prices through tacit coordination, existing research focuses on hand-crafted promptsโ€ฆ

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Mathematics Preprint PDF DOI

A Deep Ritz Method for High-Dimensional Steady States of the Cahn--Hilliard Equation

Yi Liu, Shuting Gu ยท 2026

The Cahn--Hilliard equation is a fundamental model for describing phase separation phenomena in binary mixtures. Traditional numerical methods, such as finite difference and finite element methods, ofโ€ฆ

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Physics Preprint PDF DOI

Mutually-commuting von Neumann algebra models of quantum networks and violation of Bell-type inequalities

Shuyuan Yang, Jinchuan Hou, Kan He ยท 2026

Employing mutually-commuting von Neumann algebras to represent the algebra of observables on quantum systems provides a framework for studying quantum information theory in systems with infinite degreโ€ฆ

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