Brochosome-inspired binary metastructures for pixel-by-pixel thermal signature control

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Lin Wang, Xiu Liu, Jiayu Li, Hyeong Seok Yun | Summary: In nature, nano/micro-structured materials are adopted by various species to generate colors or achieve camouflage. Here, inspired by leafhopper-generated brochosomes, we design binary metastructures composed of pixel twins to achieve pixelated thermal signature control […]


Continue.. Brochosome-inspired binary metastructures for pixel-by-pixel thermal signature control

The role of turbulence in high-mass star formation: Subsonic and transonic turbulence are ubiquitously found at early stages

Kavli Affiliate: Ke Wang | First 5 Authors: Chao Wang, Ke Wang, Feng-Wei Xu, Patricio Sanhueza, Hauyu Baobab Liu | Summary: Context. Traditionally, supersonic turbulence is considered to be one of the most likely mechanisms to slow down the gravitational collapse in dense clumps, thereby enabling the formation of massive stars. However, several recent studies […]


Continue.. The role of turbulence in high-mass star formation: Subsonic and transonic turbulence are ubiquitously found at early stages

The role of turbulence in high-mass star formation: Subsonic and transonic turbulence are ubiquitously found at early stages

Kavli Affiliate: Ke Wang | First 5 Authors: Chao Wang, Ke Wang, Feng-Wei Xu, Patricio Sanhueza, Hauyu Baobab Liu | Summary: Context. Traditionally, supersonic turbulence is considered to be one of the most likely mechanisms to slow down the gravitational collapse in dense clumps, thereby enabling the formation of massive stars. However, several recent studies […]


Continue.. The role of turbulence in high-mass star formation: Subsonic and transonic turbulence are ubiquitously found at early stages

Large-scale Foundation Models and Generative AI for BigData Neuroscience

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, Zhe Sage Chen, , , | Summary: Recent advances in machine learning have made revolutionary breakthroughs in computer games, image and natural language understanding, and scientific discovery. Foundation models and large-scale language models (LLMs) have recently achieved human-like intelligence thanks to BigData. With the help […]


Continue.. Large-scale Foundation Models and Generative AI for BigData Neuroscience

Does or did the supernova remnant Cassiopeia A operate as a PeVatron?

Kavli Affiliate: Li Xin Li | First 5 Authors: Zhen Cao, F. Aharonian, Q. An, Axikegu, Y. X. Bai | Summary: For decades, supernova remnants (SNRs) have been considered the prime sources of Galactic Cosmic rays (CRs). But whether SNRs can accelerate CR protons to PeV energies and thus dominate CR flux up to the […]


Continue.. Does or did the supernova remnant Cassiopeia A operate as a PeVatron?

Mapping the Galactic disk with the LAMOST and Gaia Red clump sample: VIII: Mapping the kinematics of the Galactic disk using mono-age and mono-abundance stellar populations

Kavli Affiliate: Huawei Zhang | First 5 Authors: Weixiang Sun, Yang Huang, Han Shen, Chun Wang, Huawei Zhang | Summary: We present a comprehensive study of the kinematic properties of the different Galactic disk populations, as defined by the chemical abundance ratios and stellar ages, across a large disk volume (4.5 $leq$ R $leq$ 15.0 […]


Continue.. Mapping the Galactic disk with the LAMOST and Gaia Red clump sample: VIII: Mapping the kinematics of the Galactic disk using mono-age and mono-abundance stellar populations

Mapping the Galactic disk with the LAMOST and Gaia Red clump sample: VIII: Mapping the kinematics of the Galactic disk using mono-age and mono-abundance stellar populations

Kavli Affiliate: Huawei Zhang | First 5 Authors: Weixiang Sun, Yang Huang, Han Shen, Chun Wang, Huawei Zhang | Summary: We present a comprehensive study of the kinematic properties of the different Galactic disk populations, as defined by the chemical abundance ratios and stellar ages, across a large disk volume (4.5 $leq$ R $leq$ 15.0 […]


Continue.. Mapping the Galactic disk with the LAMOST and Gaia Red clump sample: VIII: Mapping the kinematics of the Galactic disk using mono-age and mono-abundance stellar populations

Mapping the Galactic disk with the LAMOST and Gaia Red clump sample: VIII: Mapping the kinematics of the Galactic disk using mono-age and mono-abundance stellar populations

Kavli Affiliate: Huawei Zhang | First 5 Authors: Weixiang Sun, Yang Huang, Han Shen, Chun Wang, Huawei Zhang | Summary: We present a comprehensive study of the kinematic properties of the different Galactic disk populations, as defined by the chemical abundance ratios and stellar ages, across a large disk volume (4.5 $leq$ R $leq$ 15.0 […]


Continue.. Mapping the Galactic disk with the LAMOST and Gaia Red clump sample: VIII: Mapping the kinematics of the Galactic disk using mono-age and mono-abundance stellar populations

Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun | Summary: Recent years have witnessed the success of introducing Transformers to time series forecasting. From a data generation perspective, we illustrate that existing Transformers are susceptible to distribution shifts driven by temporal contexts, whether observed or […]


Continue.. Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift

Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun | Summary: Recent years have witnessed the success of introducing Transformers to time series forecasting. From a data generation perspective, we illustrate that existing Transformers are susceptible to distribution shifts driven by temporal contexts, whether observed or […]


Continue.. Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift