Fracture Characterization of Bioinspired Irregular Network Reinforced Composites

Kavli Affiliate: Chiara Daraio | First 5 Authors: Chelsea Fox, Tommaso Magrini, Chiara Daraio, , | Summary: The mechanical behavior of composite materials is significantly influenced by their structure and constituent materials. One emerging class of composite materials is irregular network reinforced composites (NRC’s), whose reinforcing phase is generated by a stochastic algorithm. Although design […]


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Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk-Planet Systems

Kavli Affiliate: Ruobing Dong | First 5 Authors: Shunyuan Mao, Ruobing Dong, Kwang Moo Yi, Lu Lu, Sifan Wang | Summary: We introduce Disk2Planet, a machine learning-based tool to infer key parameters in disk-planet systems from observed protoplanetary disk structures. Disk2Planet takes as input the disk structures in the form of two-dimensional density and velocity […]


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Constraining Quasar Feedback from Analysis of the Hydrostatic Equilibrium of the Molecular Gas in Their Host Galaxies

Kavli Affiliate: Jinyi Shangguan | First 5 Authors: Qinyue Fei, Ran Wang, Juan Molina, Luis C. Ho, Jinyi Shangguan | Summary: We investigate the kinematics and dynamics of the molecular and ionized gas in the host galaxies of three Palomar-Green quasars at low redshifts, benefiting from the archival millimeter-wave interferometric and optical integral field unit […]


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Decoding the hidden dynamics of super-Arrhenius hydrogen diffusion in multi-principal element alloys via machine learning

Kavli Affiliate: Wei Gao | First 5 Authors: Fei Shuang, Yucheng Ji, Zixiong Wei, Chaofang Dong, Wei Gao | Summary: Understanding atomic hydrogen (H) diffusion in multi-principal element alloys (MPEAs) is essential for advancing clean energy technologies such as H transport, storage, and nuclear fusion applications. However, the vast compositional space and the intricate chemical […]


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Predicting User Stances from Target-Agnostic Information using Large Language Models

Kavli Affiliate: Wei Gao | First 5 Authors: Siyuan Brandon Loh, Liang Ze Wong, Prasanta Bhattacharya, Joseph Simons, Wei Gao | Summary: We investigate Large Language Models’ (LLMs) ability to predict a user’s stance on a target given a collection of his/her target-agnostic social media posts (i.e., user-level stance prediction). While we show early evidence […]


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Co-Design of 2D Heterojunctions for Data Filtering in Tracking Systems

Kavli Affiliate: Salman Habib | First 5 Authors: Tupendra Oli, Wilkie Olin-Ammentorp, Xingfu Wu, Justin H. Qian, Vinod K. Sangwan | Summary: As particle physics experiments evolve to achieve higher energies and resolutions, handling the massive data volumes produced by silicon pixel detectors, which are used for charged particle tracking, poses a significant challenge. To […]


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Robust Salient Object Detection on Compressed Images Using Convolutional Neural Networks

Kavli Affiliate: Wei Gao | First 5 Authors: Guibiao Liao, Wei Gao, , , | Summary: Salient object detection (SOD) has achieved substantial progress in recent years. In practical scenarios, compressed images (CI) serve as the primary medium for data transmission and storage. However, scant attention has been directed towards SOD for compressed images using […]


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First Resolution of Microlensed Images of a Binary-Lens Event

Kavli Affiliate: Jinyi Shangguan | First 5 Authors: Zexuan Wu, Subo Dong, A. Mérand, Christopher S. Kochanek, Przemek Mróz | Summary: We resolve the multiple images of the binary-lens microlensing event ASASSN-22av using the GRAVITY instrument of the Very Large Telescope Interferometer (VLTI). The light curves show weak binary perturbations, complicating the analysis, but the […]


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Improving constraints on the extended mass distribution in the Galactic Center with stellar orbits

Kavli Affiliate: Jinyi Shangguan | First 5 Authors: The GRAVITY Collaboration, Karim Abd El Dayem, Roberto Abuter, Nicolas Aimar, Pau Amaro Seoane | Summary: Studying the orbital motion of stars around Sagittarius A* in the Galactic Center provides a unique opportunity to probe the gravitational potential near the supermassive black hole at the heart of […]


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