Kavli Affiliate: Mark Vogelsberger | Summary:Prompt cusps (PCs) form from the direct collapse of overdensities in the early Universe, reside at the center of every dark matter halo, and have density profiles steeper than $r^-1$ NFW cusps. Using a suite of high-resolution N-body simulations, we study the evolution of isolated halos in self-interacting dark matter […]
Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Deep learning approaches to object detection have achieved reliable detection of specific object classes in images. However, extending a model’s detection capability to new object classes requires large amounts of annotated training data, which is costly and time-consuming to acquire, especially for […]
Kavli Affiliate: Debanjan Chowdhury | Summary:Two-dimensional transition metal dichalcogenide (TMD) semiconductors exhibit a wide range of novel phenomena at millielectronvolt (terahertz-frequency) energy scales, including superconducting and correlation-induced insulating gaps that are frequently accompanied by symmetry breaking. However, due to the subwavelength dimensions and the often low conductivities of these systems, their intrinsic THz plasmons and […]
Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Domain generalization in semantic segmentation faces challenges from domain shifts, particularly under adverse conditions. While diffusion-based data generation methods show promise, they introduce inherent misalignment between generated images and semantic masks. This paper presents FLEX-Seg (FLexible Edge eXploitation for Segmentation), a framework […]
Kavli Affiliate: Gary Steele | Summary:Recent studies find that even drives far below the superconducting gap frequency may cause drive-induced quasiparticle generation (QPG) across Josephson junctions (JJs) of superconducting qubits (SCQs), posing a serious concern for fault-tolerant superconducting quantum computing (FTSQC). Nonetheless, quantitative experimental estimation on QPG rates has remained vague. Here, we investigate QPG […]
Endothelial type I interferon signaling modulates the vascular response to ischemic brain injury Kavli Affiliate: Mark Ellisman | Authors: Tonking Bastola, Keun-Young Kim, Ziyao Shen, Guy A. Perkins, Muna Poudel, Veronica Gomez, Yoonjin Lim, Hyejeong Choi, Jae Yon Won, Soo-Ho Choi, Mark H. Ellisman, Robert N. Weinreb and Won-Kyu Ju | Summary: Glaucoma is a […]
Endothelial type I interferon signaling modulates the vascular response to ischemic brain injury Kavli Affiliate: Laurent Younes | Authors: An Wang, Donald Geman, Uthsav Chitra and Laurent Younes | Summary: Spatial transcriptomics (ST) technologies measure gene expression at thousands of locations within a two-dimensional tissue slice, enabling the study of spatial gene expression patterns. Spatial […]
Kavli Affiliate: Michael McDonald | Summary:Strong lensing galaxy clusters provide a unique and powerful way to test simulation-derived structure predictions that follow from $Λ$ Cold Dark Matter ($Λ$CDM) cosmology. Specifically, the relative alignments of the dark matter (DM) halo, stars, and hot intracluster gas in these clusters offer insights into how well theoretical structure predictions […]
Kavli Affiliate: Gerbrand Ceder| Summary:Understanding structure-property relationships in materials is fundamental in condensed matter physics and materials science. Over the past few years, machine learning (ML) has emerged as a powerful tool for advancing this understanding and accelerating materials discovery. Early ML approaches primarily focused on constructing and screening large material spaces to identify promising […]
Kavli Affiliate: Peter Graham | Summary:Real-time sea state estimation is vital for applications like shipbuilding and maritime safety. Traditional methods rely on accurate wave-vessel transfer functions to estimate wave spectra from onboard sensors. In contrast, our approach jointly estimates sea state and vessel parameters without needing prior transfer function knowledge, which may be unavailable or […]