FerroAI: A Deep Learning Model for Predicting Phase Diagrams of Ferroelectric Materials

Kavli Affiliate: Xian Chen | First 5 Authors: Chenbo Zhang, Xian Chen, , , | Summary: Composition-temperature phase diagrams are crucial for designing ferroelectric materials, however predicting them accurately remains challenging due to limited phase transformation data and the constraints of conventional methods. Here, we utilize natural language processing (NLP) to text-mine 41,597 research articles, […]


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Discovery and Localization of the Swift-Observed FRB 20241228A in a Star-forming Host Galaxy

Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Alice P. Curtin, Shion Andrew, Sunil Simha, Alice Cai, Kenzie Nimmo | Summary: On 2024 December 28, CHIME/FRB detected the thus-far non-repeating FRB 20241228A with a real-time signal-to-noise ratio of $>50$. Approximately 112~s later, the X-ray Telescope onboard the Neil Gehrels Swift Observatory was on source, […]


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

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

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

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)

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

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

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

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

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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