Kavli Affiliate: Xiang Zhang | First 5 Authors: Zhi-Peng Jia, Zhi-Peng Jia, , , | Summary: We report a systematic uncertainty of $9.2times 10^-19$ for the USTC Sr1 optical lattice clock, achieving accuracy at the level required for the roadmap of the redefinition of the SI second. A finite-element model with it in situ-validated, spatially-resolved […]
Kavli Affiliate: Gerbrand Ceder| Summary:Understanding the moisture stability of oxide Li-ion conductors is important for their practical applications in solid-state batteries. Unlike sulfide or halide conductors, oxide conductors generally better resist degradation when in contact with water, but can still undergo topotactic chLi+/chH+ exchange (LHX). Here, we combine density functional theory (DFT) calculations with a […]
Kavli Affiliate: Feng Wang | First 5 Authors: Su-Di Chen, Su-Di Chen, , , | Summary: In clean two-dimensional (2D) systems, electrons are expected to self-organize into a regular lattice, a Wigner crystal, when their mutual Coulomb repulsion overwhelms kinetic energy. Understanding the Wigner crystal at zero magnetic field is a long-sought goal in physics, […]
Kavli Affiliate: Carlos Bustamante | Summary:Controlling chemical and material properties through strong light-matter coupling in optical cavities has gained considerable attention over the past decade. However, the underlying mechanisms remain insufficiently understood, and a significant gap persists between experimental observations and theoretical descriptions. This challenge arises from the intrinsically multi-scale nature of the problem, where […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Fei Xiong, Fei Xiong, , , | Summary: Recent advances in Large Language Models (LLMs) have demonstrated impressive capabilities in financial reasoning and market understanding. Multi-agent LLM frameworks such as TradingAgent and FINMEM augment these models to long-horizon investment tasks, leveraging fundamental and sentiment-based inputs for strategic […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Fei Xiong, Fei Xiong, , , | Summary: Recent advances in Large Language Models (LLMs) have demonstrated impressive capabilities in financial reasoning and market understanding. Multi-agent LLM frameworks such as TradingAgent and FINMEM augment these models to long-horizon investment tasks, leveraging fundamental and sentiment-based inputs for strategic […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Chi Zhang, Chi Zhang, , , | Summary: Frame-based cameras with extended exposure times often produce perceptible visual blurring and information loss between frames, significantly degrading video quality. To address this challenge, we introduce EVDI++, a unified self-supervised framework for Event-based Video Deblurring and Interpolation that leverages […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Feng Wang, , , | Summary: Reinforcement Learning (RL) has recently emerged as a powerful technique for improving image and video generation in Diffusion and Flow Matching models, specifically for enhancing output quality and alignment with prompts. A critical step for applying online RL methods […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Feng Wang, , , | Summary: Reinforcement Learning (RL) has recently emerged as a powerful technique for improving image and video generation in Diffusion and Flow Matching models, specifically for enhancing output quality and alignment with prompts. A critical step for applying online RL methods […]
Kavli Affiliate: Feng Wang | First 5 Authors: Tianhao Guo, Tianhao Guo, , , | Summary: Single image super-resolution traditionally assumes spatially-invariant degradation models, yet real-world imaging systems exhibit complex distance-dependent effects including atmospheric scattering, depth-of-field variations, and perspective distortions. This fundamental limitation necessitates spatially-adaptive reconstruction strategies that explicitly incorporate geometric scene understanding for optimal […]