Physics-informed Machine Learning Analysis for Nanoscale Grain Mapping by Synchrotron Laue Microdiffraction

Posted by dbos Peking

Kavli Affiliate: Xian Chen | First 5 Authors: Ka Hung Chan, Xinyue Huang, Nobumichi Tamura, Xian Chen, | Summary: Understanding the grain morphology, orientation distribution, and crystal structure of nanocrystals is essential for optimizing the mechanical and physical properties of functional materials. Synchrotron X-ray Laue microdiffraction is a powerful technique for characterizing crystal structures and […]


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Exact zero modes in the interacting Majorana X- and Y-junctions

Posted by dbos Delft

Kavli Affiliate: Natalia Chepiga | First 5 Authors: Rik Mulder, Bowy M. La Rivière, Natalia Chepiga, , | Summary: We report the appearance of exact zero modes in junctions of interacting Majorana wires. We consider two, three and four short Majorana chains coupled to each other at one edge and forming a longer chain with […]


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The selective dynamics of interruptions at short tandem repeats

Posted by dbos Columbia

Kavli Affiliate: Michael Goldberg | Authors: Michael E Goldberg, Harriet Dashnow, Kelley Harris and Aaron R Quinlan | Summary: Short tandem repeats (STRs) are hotspots of genomic instability that mutate at rates orders of magnitude greater than non-repetitive loci due to frequent replication slippage. Expansions at some STR loci cause Mendelian diseases, while variation at […]


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Construction of Kondo Chains by Engineering Porphyrin π-Radicals on Au(111)

Posted by dbos Peking

Kavli Affiliate: Li Xin Li | First 5 Authors: Yan Zhao, Kaiyue Jiang, Peng-Yi Liu, Ruoning Li, Jie Li | Summary: Quantum manipulation of molecular radical spins provides a crucial platform for exploring emergent phenomena in many-body systems. Here, we combine surface-confined synthesis with scanning tunneling microscopy (STM) tip-induced dehydrogenation to achieve atom-precise engineering of […]


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Reaching the Ultimate Quantum Precision Limit at Colliders: Conditions and Case Studies

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Tengyu Ai, Qi Bi, Yuxin He, Jia Liu, Xiao-Ping Wang | Summary: We investigate whether collider experiments can reach the quantum limit of precision, defined by the quantum Fisher information (QFI), using only classical observables such as particle momenta. As a case study, we focus on the […]


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GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning

Posted by dbos UCAS

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xiaoyi Bao, Jindi Lv, Xiaofeng Wang, Zheng Zhu, Xinze Chen | Summary: Recent progress in diffusion models has greatly enhanced video generation quality, yet these models still require fine-tuning to improve specific dimensions like instance preservation, motion rationality, composition, and physical plausibility. Existing fine-tuning approaches often rely […]


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Study of Stability and Consistency of EAS Thermal Neutron Detection at ENDA-64

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Heng-Yu Zhang, Xin-Hua Ma, Tian-Lu Chen, Shu-Wang Cui, Danzengluobu | Summary: Introduction:Electron-Neutron Detector Array (ENDA) is designed to measure thermal neutrons produced by hadronic interactions between cosmic ray extensive air showers (EAS) and the surrounding environment as well as electrons around the cores of EAS. ENDA is […]


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Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry Challenges

Posted by dbos UCAS

Kavli Affiliate: Gang Su | First 5 Authors: Jintao Liang, Gang Su, Huifeng Lin, You Wu, Rui Zhao | Summary: Retrieval-Augmented Generation (RAG) has emerged as a powerful framework to overcome the knowledge limitations of Large Language Models (LLMs) by integrating external retrieval with language generation. While early RAG systems based on static pipelines have […]


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Motion-R1: Chain-of-Thought Reasoning and Reinforcement Learning for Human Motion Generation

Posted by dbos UCAS

Kavli Affiliate: Zheng Zhu | First 5 Authors: Runqi Ouyang, Haoyun Li, Zhenyuan Zhang, Xiaofeng Wang, Zheng Zhu | Summary: Recent advances in large language models, especially in natural language understanding and reasoning, have opened new possibilities for text-to-motion generation. Although existing approaches have made notable progress in semantic alignment and motion synthesis, they often […]


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Topotactic oxidation of Ruddlesden-Popper nickelates reveals new structural family: oxygen-intercalated layered perovskites

Posted by dbos Cornell

Kavli Affiliate: Darrell G. Schlom | First 5 Authors: Dan Ferenc Segedin, Jinkwon Kim, Harrison LaBollita, Nicole K. Taylor, Kyeong-Yoon Baek | Summary: Layered perovskites such as the Dion-Jacobson, Ruddlesden-Popper, and Aurivillius families host a wide range of correlated electron phenomena, from high-temperature superconductivity to multiferroicity. Here we report a new family of layered perovskites, […]


Continue.. Topotactic oxidation of Ruddlesden-Popper nickelates reveals new structural family: oxygen-intercalated layered perovskites