Kavli Affiliate: Debanjan Chowdhury | Summary:Periodically driven Floquet quantum many-body systems have revealed new insights into the rich interplay of thermalization, and growth of entanglement. The phenomenology of dynamical freezing, whereby a translationally invariant many-body system exhibits emergent conservation laws and a slow growth of entanglement entropy at certain fixed ratios of a drive amplitude […]
Kavli Affiliate: Jie Shan | First 5 Authors: Xiangxi Tian, Jie Shan, , , | Summary: Generating continuous environmental models from sparsely sampled data is a critical challenge in spatial modeling, particularly for topography. Traditional spatial interpolation methods often struggle with handling sparse measurements. To address this, we propose a Transformer-based Generative Model for Spatial […]
Kavli Affiliate: Jie Shan | First 5 Authors: Liguo Ma, Raghav Chaturvedi, Phuong X. Nguyen, Kenji Watanabe, Takashi Taniguchi | Summary: The realization of graphene has provided a bench-top laboratory for quantum electrodynamics. The low-energy excitations of graphene are two-dimensional massless Dirac fermions with opposite chiralities at the $pm$K valleys of the graphene Brillouin zone. […]
Kavli Affiliate: Zhiting Tian | First 5 Authors: Shibo Hao, Shibo Hao, , , | Summary: Large language models (LLMs) are typically constrained to reason in the language space, where they express the reasoning process through a chain-of-thought (CoT) to solve complex problems. However, the language space may not always be optimal for reasoning. Most […]
Kavli Affiliate: Jie Shan | First 5 Authors: Dumitru Călugăru, Yi Jiang, Haoyu Hu, Hanqi Pi, Jiabin Yu | Summary: We introduce a new class of moir’e systems and materials based on monolayers with triangular lattices and low-energy states at the M points of the Brillouin zone. These M-point moir’e materials are fundamentally distinct from […]
Kavli Affiliate: Dan Luo | First 5 Authors: Yanbiao Ji, Yue Ding, Dan Luo, Chang Liu, Yuxiang Lu | Summary: Graph-based recommender systems have achieved remarkable effectiveness by modeling high-order interactions between users and items. However, such approaches are significantly undermined by popularity bias, which distorts the interaction graph’s structure, referred to as topology bias. […]
Kavli Affiliate: Jie Shan | First 5 Authors: Yi Jiang, Urko Petralanda, Grigorii Skorupskii, Qiaoling Xu, Hanqi Pi | Summary: The study of twisted two-dimensional (2D) materials, where twisting layers create moir’e superlattices, has opened new opportunities for investigating topological phases and strongly correlated physics. While systems such as twisted bilayer graphene (TBG) and twisted […]
Kavli Affiliate: Daniel Ralph | First 5 Authors: Camilo Espinosa-Curilem, Camilo Espinosa-Curilem, , , | Summary: In volcano monitoring, effective recognition of seismic events is essential for understanding volcanic activity and raising timely warning alerts. Traditional methods rely on manual analysis, which can be subjective and labor-intensive. Furthermore, current automatic approaches often tackle detection and […]
Kavli Affiliate: Frank Wise | Summary:Noise can play an important role in nonlinear pulse propagation. It is not only the origin of fluctuations in supercontinuum but can also determine the generated signal amplitude and phase, as seen in phenomena such as noise-seeded four-wave mixing and spontaneous Raman scattering. Current models rely on input-pulse shot noise […]
Kavli Affiliate: Jin Suntivich | Summary:Understanding the dehydrogenation of transition metal oxide surfaces under electrochemical potential is critical to the control of important chemical processes such as the oxygen evolution reaction (OER). Using first principles computations, we model the thermodynamic dehydrogenation process on RuO$_2$(110) and compare the results to experimental cyclic voltammetry (CV) on single […]