Kavli Affiliate: Xiang Zhang | First 5 Authors: Peilin Cao, Ying Geng, Nan Feng, Xiang Zhang, Zhiwen Qi | Summary: As current group contribution (GC) methods are mostly proposed for a wide size-range of molecules, applying them to property prediction of small refrigerant molecules could lead to unacceptable errors. In this sense, for the design […]
Kavli Affiliate: Daniel Kronauer | Authors: Kip D Lacy, Jina Lee, Kathryn Rozen-Gagnon, Wei Wang, Thomas S Carroll and Daniel J C Kronauer | Summary: Sex determination is a developmental switch that triggers sex-specific developmental programs. This switch is flipped by the expression of genes that promote male- or female-specific development. Many lineages have evolved […]
Kavli Affiliate: J. C. Seamus Davis | First 5 Authors: Adeline Crépieux, Emile Pangburn, Shuqiu Wang, Kuanysh Zhussupbekov, Joseph P. Carroll | Summary: We compute the (0-11) surface spectral function, the surface density of states (DOS), and the quasiparticle interference (QPI) patterns, both in the normal state and superconducting (SC) state of UTe$_2$. We consider […]
Kavli Affiliate: J. C. Seamus Davis | First 5 Authors: Shuqiu Wang, Kuanysh Zhussupbekov, Joseph P. Carroll, Bin Hu, Xiaolong Liu | Summary: Although no known material definitely exhibits intrinsic topological superconductivity, where a spin-triplet electron pairing potential $Delta(k)$ has odd parity, UTe2 is now the leading candidate. Ideally, the parity of $Delta(k)$ might be […]
Kavli Affiliate: Jing Wang | First 5 Authors: Tianwen Zhou, Jing Wang, Songtao Wu, Kuanhong Xu, | Summary: Recent approaches using large-scale pretrained diffusion models for image dehazing improve perceptual quality but often suffer from hallucination issues, producing unfaithful dehazed image to the original one. To mitigate this, we propose ProDehaze, a framework that employs […]
Kavli Affiliate: Feng Wang | First 5 Authors: Yi Ching Chou, Long Chen, Hengzhi Wang, Feng Wang, Hao Fang | Summary: Low Earth Orbit (LEO) satellite networks, characterized by their high data throughput and low latency, have gained significant interest from both industry and academia. Routing data efficiently within these networks is essential for maintaining […]
Kavli Affiliate: Eliska Greplova | First 5 Authors: Vinicius Hernandes, Thomas Spriggs, Saqar Khaleefah, Eliska Greplova, | Summary: Neural quantum states (NQS) have emerged as a powerful tool for approximating quantum wavefunctions using deep learning. While these models achieve remarkable accuracy, understanding how they encode physical information remains an open challenge. In this work, we […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Mengsong Wu, Tong Zhu, Han Han, Xiang Zhang, Wenbiao Shao | Summary: Tool learning can further broaden the usage scenarios of large language models (LLMs). However most of the existing methods either need to finetune that the model can only use tools seen in the training data, […]
Kavli Affiliate: Robert A. Simcoe | First 5 Authors: Rohan P. Naidu, Jorryt Matthee, Harley Katz, Anna de Graaff, Pascal Oesch | Summary: The physical processes that led to the formation of billion solar mass black holes within the first 700 million years of cosmic time remain a puzzle. Several theoretical scenarios have been proposed […]
Kavli Affiliate: Robert Edwards | Authors: Laura K Inglis, Michael J Roach, Susanna R Grigson and Robert A. Edwards | Summary: Prophages—viruses that integrate into bacterial genomes—are ubiquitous in the microbial realm. Prophages contribute significantly to horizontal gene transfer, including the potential spread of antimicrobial resistance (AMR) genes, because they can collect host genes. Understanding […]