Rank,ID,Title,Authors,Year,Venue,Track,Status,Primary Area,Keywords,Citations,BM25 Score,Combined Score,DOI,URL,PDF,Source,TLDR,Abstract
1,,Velocity-Dependent Dynamics of Friction and Wear,E. Nordhagen; H. A. Sveinsson; Anders Malthe-So̷renssen,2025,Tribology letter,,,,,1,0.000,0.000,10.1007/s11249-025-02045-5,https://www.semanticscholar.org/paper/c58828357b0ba26e0b20e264461beb9cb80f3eae,,semantic_scholar,,
2,,Friction by Machine: How to Slow Down Reasoning with Computational Methods,Anders Koed Madsen; A. Munk; Johan Irving Søltoft,2023,Ethnographic Praxis in Industry Conference Proceedings,,,,,7,0.000,0.000,10.1111/epic.12153,https://www.semanticscholar.org/paper/6fc7dd6db9d5e66e474cc68e146f4f9bb3888d4d,https://doi.org/10.1111/epic.12153,semantic_scholar,,"This paper provides a theoretical alternative to the prevailing perception of machine learning as synonymous with speed and efficiency. Inspired by ethnographic fieldwork and grounded in pragmatist philosophy, we introduce the concept of “data friction” as the situation when encounters between held "
3,,Retracted: Experimental Investigation and Optimization on Friction Stir Welding of Nylon 6A Using Taguchi and ANOVA with Microstructural Analysis,Advances in Materials Science and Engineering,2023,Advances in Materials Science and Engineering,,,,,1,0.000,0.000,10.1155/2023/9820953,https://www.semanticscholar.org/paper/8b17d7ab596bf46750ea26d70118a654b9b7689a,https://downloads.hindawi.com/journals/amse/2023/9820953.pdf,semantic_scholar,,<jats:p />
4,,Retracted: Optimization of Process Parameters for Friction Stir Welding of Different Aluminum Alloys AA2618 to AA5086 by Taguchi Method,Advances in Materials Science and Engineering,2023,Advances in Materials Science and Engineering,,,,,0,0.000,0.000,10.1155/2023/9821983,https://www.semanticscholar.org/paper/bd2a9919605cebdb1a94bf4c52d034fcbb4a8ebf,https://downloads.hindawi.com/journals/amse/2023/9821983.pdf,semantic_scholar,,<jats:p />
5,,Retracted: Parameters Optimization of Dissimilar Friction Stir Welding for AA7079 and AA8050 through RSM,Advances in Materials Science and Engineering,2023,Advances in Materials Science and Engineering,,,,,0,0.000,0.000,10.1155/2023/9795165,https://www.semanticscholar.org/paper/bf8082c1e9ec0b9c64ff6dcabd29e4fd244f14e3,https://downloads.hindawi.com/journals/amse/2023/9795165.pdf,semantic_scholar,,<jats:p />
6,,Retracted: Improvement on Mechanical Properties of Submerged Friction Stir Joining of Dissimilar Tailor Welded Aluminum Blanks,Advances in Materials Science and Engineering,2023,Advances in Materials Science and Engineering,,,,,0,0.000,0.000,10.1155/2023/9896026,https://www.semanticscholar.org/paper/7d63597686907ce4589afd0754c724c53c477c14,https://downloads.hindawi.com/journals/amse/2023/9896026.pdf,semantic_scholar,,<jats:p />
7,,Retracted: Optimization of Process Parameter on AA8052 Friction Stir Welding Using Taguchi’s Method,Advances in Materials Science and Engineering,2023,Advances in Materials Science and Engineering,,,,,0,0.000,0.000,10.1155/2023/9759187,https://www.semanticscholar.org/paper/ec11154398eedf286087bf05e3eaccfb4085f42e,https://downloads.hindawi.com/journals/amse/2023/9759187.pdf,semantic_scholar,,<jats:p />
8,,Retracted: Effect of Tool Profile Influence in Dissimilar Friction Stir Welding of Aluminium Alloys (AA5083 and AA7068),Advances in Materials Science and Engineering,2023,Advances in Materials Science and Engineering,,,,,0,0.000,0.000,10.1155/2023/9813726,https://www.semanticscholar.org/paper/cd114c8a6238b70e5d4363b55c40447f60fc4c9c,https://downloads.hindawi.com/journals/amse/2023/9813726.pdf,semantic_scholar,,<jats:p />
9,,Retracted: Analysis of Temperature Distribution and Mechanical Properties of Friction Stir Welding of Al-Cu Joints Using Hardened H13 Steel Tools,Advances in Materials Science and Engineering,2023,Advances in Materials Science and Engineering,,,,,0,0.000,0.000,10.1155/2023/9891727,https://www.semanticscholar.org/paper/46685ea170df6b6d2dd4a860a663f255f1ae6406,https://downloads.hindawi.com/journals/amse/2023/9891727.pdf,semantic_scholar,,<jats:p />
10,,Work-in-Progress of Exploring High School Students’ Science Concept During an Engineering Design Challenge,Indah Widiastuti; C. Budiyanto; Feby Eka Cipta Sari Andry; M. Akhyar,2023,"International Conference on Teaching, Assessment, and Learning for Engineering",,,,,0,0.000,0.000,10.1109/TALE56641.2023.10398246,https://www.semanticscholar.org/paper/28530bd911c80eb39e82d03caaf145be694d6838,,semantic_scholar,,"Engineering-based learning could bring integrated STEM issues to everyday life through a design process based on a group problem-solving approach. In this study, high school students participated in a mouse-trap car project that focused on engineering-based STEM learning. A qualitative approach was "
11,,SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time,Zhening Huang; Hyeonho Jeong; Xuelin Chen; Yulia Gryaditskaya; Tuanfeng Y. Wang,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25075v1,https://arxiv.org/pdf/2512.25075v1,arxiv,,"We present SpaceTimePilot, a video diffusion model that disentangles space and time for controllable generative rendering. Given a monocular video, SpaceTimePilot can independently alter the camera viewpoint and the motion sequence within the generative process, re-rendering the scene for continuous"
12,,Randomization Times under Quantum Chaotic Hamiltonian Evolution,Souradeep Ghosh; Nicholas Hunter-Jones; Joaquin F. Rodriguez-Nieva,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25074v1,https://arxiv.org/pdf/2512.25074v1,arxiv,,"Randomness generation through quantum-chaotic evolution underpins foundational questions in statistical mechanics and applications across quantum information science, including benchmarking, tomography, metrology, and demonstrations of quantum computational advantage. While statistical mechanics suc"
13,,GaMO: Geometry-aware Multi-view Diffusion Outpainting for Sparse-View 3D Reconstruction,Yi-Chuan Huang; Hao-Jen Chien; Chin-Yang Lin; Ying-Huan Chen; Yu-Lun Liu,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25073v1,https://arxiv.org/pdf/2512.25073v1,arxiv,,"Recent advances in 3D reconstruction have achieved remarkable progress in high-quality scene capture from dense multi-view imagery, yet struggle when input views are limited. Various approaches, including regularization techniques, semantic priors, and geometric constraints, have been implemented to"
14,,Edit3r: Instant 3D Scene Editing from Sparse Unposed Images,Jiageng Liu; Weijie Lyu; Xueting Li; Yejie Guo; Ming-Hsuan Yang,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25071v1,https://arxiv.org/pdf/2512.25071v1,arxiv,,"We present Edit3r, a feed-forward framework that reconstructs and edits 3D scenes in a single pass from unposed, view-inconsistent, instruction-edited images. Unlike prior methods requiring per-scene optimization, Edit3r directly predicts instruction-aligned 3D edits, enabling fast and photorealisti"
15,,Coordinated Humanoid Manipulation with Choice Policies,Haozhi Qi; Yen-Jen Wang; Toru Lin; Brent Yi; Yi Ma,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25072v1,https://arxiv.org/pdf/2512.25072v1,arxiv,,"Humanoid robots hold great promise for operating in human-centric environments, yet achieving robust whole-body coordination across the head, hands, and legs remains a major challenge. We present a system that combines a modular teleoperation interface with a scalable learning framework to address t"
16,,Scaling Open-Ended Reasoning to Predict the Future,Nikhil Chandak; Shashwat Goel; Ameya Prabhu; Moritz Hardt; Jonas Geiping,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25070v1,https://arxiv.org/pdf/2512.25070v1,arxiv,,"High-stakes decision making involves reasoning under uncertainty about the future. In this work, we train language models to make predictions on open-ended forecasting questions. To scale up training data, we synthesize novel forecasting questions from global events reported in daily news, using a f"
17,,FineTec: Fine-Grained Action Recognition Under Temporal Corruption via Skeleton Decomposition and Sequence Completion,Dian Shao; Mingfei Shi; Like Liu,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25067v1,https://arxiv.org/pdf/2512.25067v1,arxiv,,"Recognizing fine-grained actions from temporally corrupted skeleton sequences remains a significant challenge, particularly in real-world scenarios where online pose estimation often yields substantial missing data. Existing methods often struggle to accurately recover temporal dynamics and fine-gra"
18,,From Inpainting to Editing: A Self-Bootstrapping Framework for Context-Rich Visual Dubbing,Xu He; Haoxian Zhang; Hejia Chen; Changyuan Zheng; Liyang Chen,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25066v1,https://arxiv.org/pdf/2512.25066v1,arxiv,,"Audio-driven visual dubbing aims to synchronize a video's lip movements with new speech, but is fundamentally challenged by the lack of ideal training data: paired videos where only a subject's lip movements differ while all other visual conditions are identical. Existing methods circumvent this wit"
19,,Vulcan: Instance-Optimal Systems Heuristics Through LLM-Driven Search,Rohit Dwivedula; Divyanshu Saxena; Sujay Yadalam; Daehyeok Kim; Aditya Akella,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25065v1,https://arxiv.org/pdf/2512.25065v1,arxiv,,"Resource-management tasks in modern operating and distributed systems continue to rely primarily on hand-designed heuristics for tasks such as scheduling, caching, or active queue management. Designing performant heuristics is an expensive, time-consuming process that we are forced to continuously g"
20,,Many Minds from One Model: Bayesian Transformers for Population Intelligence,Diji Yang; Yi Zhang,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25063v1,https://arxiv.org/pdf/2512.25063v1,arxiv,,"Despite their scale and success, modern transformers are almost universally trained as single-minded systems: optimization produces one deterministic set of parameters, representing a single functional hypothesis about the data. Motivated by the idea that intelligence emerge from many minds, we prop"