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Showing 182110 results for "program development"
AI & Data Science Preprint PDF DOI

AmaraSpatial-10K: A Spatially and Semantically Aligned 3D Dataset for Spatial Computing and Embodied AI

Mohammad Sadegh Salehi, Alex Perkins, Igor Maurell, Ashkan Dabbagh, Raymond Wong ยท 2026

Web-scale 3D asset collections are abundant, but rarely deployment-ready. Assets ship with arbitrary metric scale, incorrect pivots and forward axes, brittle geometry, and textures that do not supportโ€ฆ

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Engineering Preprint PDF DOI

Integrated Lander-Propulsion-GNC Framework for Autonomous Lunar Powered Descent

Emre Aklan, Fatih Seker, Bekir Gencalioglu, Mehmet Batuhan Kaya, Yigit Serceoglu, Furkan Yavuz, Omer Burak Iskender, Burak Yaglioglu ยท 2026

This paper presents an integrated lander-propulsion-GNC framework for autonomous lunar powered descent. The BUG VTVL test vehicle serves as the reference platform, with the YUNT V0 throttleable bipropโ€ฆ

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AI & Data Science Preprint PDF DOI

GenAssets: Generating in-the-wild 3D Assets in Latent Space

Ze Yang, Jingkang Wang, Haowei Zhang, Sivabalan Manivasagam, Yun Chen, Raquel Urtasun ยท 2026

High-quality 3D assets for traffic participants are critical for multi-sensor simulation, which is essential for the safe end-to-end development of autonomy. Building assets from in-the-wild data is kโ€ฆ

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Physics Preprint PDF DOI

Crystalline metal flakes: Platforms for advanced plasmonics and hybrid 2D material architectures

Sergejs Boroviks, Siarhei Zavatski, Thorsten Feichtner, Jer-Shing Huang, Olivier J. F. Martin, Bert Hecht, N. Asger Mortensen ยท 2026

Crystalline noble metal flakes are emerging as versatile platforms in nanophotonics, enabling a broad range of optical phenomena and applications. Their atomically flat surfaces, high crystallinity, aโ€ฆ

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Physics Preprint PDF DOI

Sustainability-informed materials design

Rachel Woods-Robinson, Amalie Trewartha ยท 2026

While material innovation can enable sustainable development, environmental and social impacts of emerging materials are often assessed only after design choices are "locked in." Here, we argue for a โ€ฆ

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AI & Data Science Preprint PDF DOI

BrickNet: Graph-Backed Generative Brick Assembly

Peter Kulits, Cordelia Schmid ยท 2026

We train a language model to generate LEGO-brick build sequences. While prior work has been restricted to discrete, voxel-like towers, we consider a much broader set of pieces, encompassing thousands โ€ฆ

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AI & Data Science Preprint PDF DOI

Testing independence in the presence of missing data: high-dimensional case

Marija Cuparic, Bojana Milosevic, Jelena Radojevic ยท 2026

In this paper, we consider the problem of testing independence in high-dimensional settings with missing data. Building upon a recently proposed Kendall-based statistic, we introduce two new modificatโ€ฆ

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Engineering Preprint PDF DOI

Surrogate-Based Co-Design Coupling Analysis for Floating Offshore Wind Turbines

Elena Fernandez Bravo, Sunil Tamang, Yong Hoon Lee, James T. Allison ยท 2026

This work presents a design coupling analysis (DCA) framework to investigate the interactions among control and plant design variables in floating offshore wind turbine (FOWT) and to support the formuโ€ฆ

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AI & Data Science Preprint PDF DOI

Agreement coefficients for continuous variables: A review

Ronny Vallejos ยท 2026

Agreement coefficients provide a fundamental framework for quantifying the concordance between two or more measurement methods applied to the same continuous variable. Unlike correlation, which measurโ€ฆ

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Physics Preprint PDF DOI

Large language model-enabled automated data extraction for concrete materials informatics

Zhanzhao Li, Kengran Yang, Qiyao He, Kai Gong ยท 2026

The promise of data-driven materials discovery remains constrained by the scarcity of large, high-quality, and accessible experimental datasets. Here, we introduce a generalizable large language modelโ€ฆ

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AI & Data Science Preprint PDF DOI

AutoPyVerifier: Learning Compact Executable Verifiers for Large Language Model Outputs

Pouya Pezeshkpour, Estevam Hruschka ยท 2026

Verification is becoming central to both reinforcement-learning-based training and inference-time control of large language models (LLMs). Yet current verifiers face a fundamental trade-off: LLM-basedโ€ฆ

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AI & Data Science Preprint PDF DOI

Come Together: Analyzing Popular Songs Through Statistical Embeddings

Matthew Esmaili Mallory, Mark Glickman, Jason Brown ยท 2026

Statistical modeling of popular music presents a unique challenge due to the complexity of song structures, which cannot be easily analyzed using conventional statistical tools. However, recent advancโ€ฆ

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Physics Preprint PDF DOI

Fraunhofer Patterns in Atomic Josephson Junctions

Kevin T. Geier, Giampiero Marchegiani, Vijay Pal Singh, Juan Polo, Luigi Amico ยท 2026

Driven atomic Josephson junctions allow one to monitor phase-coherent dynamics with unprecedented control and flexibility of the system's physical conditions. While cold-atom manifestations of the Josโ€ฆ

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Physics Preprint PDF DOI

String theory in the infrared

Ivano Basile ยท 2026

I briefly summarize a recent research program aiming to probe the landscape of low-energy phases of string theory from a global perspective. Borrowing conceptual lessons from the swampland program, I โ€ฆ

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Computer Science Preprint PDF DOI

Code for All: Educational Applications of the "Vibe Coding" Hackathon in Programming Education across All Skill Levels

Ashley J. Chen, Yijia Cao, Minghao Shao, Ramesh Karri, Muhammad Shafique ยท 2026

The emergence of large language models has enabled vibe coding, a natural language approach to programming in which users describe intent and AI generates or revises code, potentially broadening accesโ€ฆ

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Physics Preprint PDF DOI

Thermodynamic Modeling of Pure Elements from 0 K with Uncertainty Quantification using PyCalphad and ESPEI

Alexander Richter, Abdulmonem Obaied, Irina Roslyakova, Boris Wilthan, Allison Beese, Zi-Kui Liu ยท 2026

Thermodynamic modeling of pure elements is the foundation of the CALPHAD modeling of engineering materials. Recently, multiple physics-based models have been proposed to describe Gibbs energy of pure โ€ฆ

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Mathematics Preprint PDF DOI

Relaxation-Informed Training of Neural Network Surrogate Models

Calvin Tsay ยท 2026

ReLU neural networks trained as surrogate models can be embedded exactly in mixed-integer linear programs (MILPs), enabling global optimization over the learned function. The tractability of the resulโ€ฆ

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Engineering Preprint PDF DOI

A Vehicle Routing Problem for Human-Centered Electric Mobility

Mostafa Emam, Bjorn Martens, Thomas Rottmann, Matthias Gerdts ยท 2026

In this paper, we present the Electric Mobility Dial-a-Ride Problem (EM-DARP), which extends the Electric Vehicle Dial-a-Ride Problem (EV-DARP) to better accommodate human-focused mobility services. Tโ€ฆ

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Medicine & Health Preprint PDF DOI

OpenMRF: A Modular, Vendor-Neutral Open-Source Framework for Reproducible Magnetic Resonance Fingerprinting using Pulseq

Tom Griesler, Jannik Stebani, Sydney Kaplan, Ivaylo Angelov, Petra Albert, Martin Blaimer, Tobias Wech, Xiang Wang, Qingping Chen, Maxim Zaitsev, Zhibo Zhu, Qi Liu, Peter Martin, Jon-Fredrik Nielsen, Jesse I Hamilton, Peter Nordbeck, Nicole Seiberlich, Maximilian Gram ยท 2026

Purpose: Widespread adoption and methodological advancement of Magnetic Resonance Fingerprinting (MRF) are limited by the lack of unified, reproducible implementation frameworks and fragmented open-soโ€ฆ

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AI & Data Science Preprint PDF DOI

Seeing the Whole Elephant: A Benchmark for Failure Attribution in LLM-based Multi-Agent Systems

Mengzhuo Chen, Junjie Wang, Fangwen Mu, Yawen Wang, Zhe Liu, Huanxiang Feng, Qing Wang ยท 2026

Failure attribution, i.e., identifying the responsible agent and decisive step of a failure, is particularly challenging in LLM-based multi-agent systems (MAS) due to their natural-language reasoning,โ€ฆ

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