Kavli Affiliate: Ke Wang | First 5 Authors: Meng Li, Ke Wang, Nan Wang, , | Summary: A multitude of substances exist as mixtures comprising multiple chemical components in the natural world. These substances undergo morphological changes under external influences. the phase field model coupled with fluid flow, the dynamic movement and evolution of the […]

Kavli Affiliate: Pau Amaro Seoane | First 5 Authors: Pau Amaro Seoane, Yiren Lin, Kostas Tzanavaris, , | Summary: The gravitational capture of a stellar-mass object by a supermassive black hole represents a unique probe of warped spacetime. The small object, typically a stellar-mass black hole, describes a very large number of cycles before crossing […]

Kavli Affiliate: Pau Amaro Seoane | First 5 Authors: Pau Amaro Seoane, Yiren Lin, Kostas Tzanavaris, , | Summary: The gravitational capture of a stellar-mass object by a supermassive black hole represents a unique probe of warped spacetime. The small object, typically a stellar-mass black hole, describes a very large number of cycles before crossing […]

Kavli Affiliate: Jing Wang | First 5 Authors: Pengyu Lai, Jing Wang, Rui Wang, Dewu Yang, Haoqi Fei | Summary: Predicting and understanding the chaotic dynamics in complex systems is essential in various applications. However, conventional approaches, whether full-scale simulations or small-scale omissions, fail to offer a comprehensive solution. This instigates exploration into whether modeling […]

Kavli Affiliate: Ran Wang | First 5 Authors: Fuchun Ge, Ran Wang, Chen Qu, Peikun Zheng, Apurba Nandi | Summary: Machine learning potentials (MLPs) are widely applied as an efficient alternative way to represent potential energy surface (PES) in many chemical simulations, e.g., geometry optimizations, frequency calculations, molecular dynamics, and Monte Carlo computations. However, there […]

Kavli Affiliate: Ran Wang | First 5 Authors: Fuchun Ge, Ran Wang, Chen Qu, Peikun Zheng, Apurba Nandi | Summary: Machine learning potentials (MLPs) are widely applied as an efficient alternative way to represent potential energy surfaces (PES) in many chemical simulations. The MLPs are often evaluated with the root-mean-square errors on the test set […]

Kavli Affiliate: Li Xin Li | First 5 Authors: The LHAASO Collaboration, Zhen Cao, F. Aharonian, Q. An, A. Axikegu | Summary: We present the measurements of all-particle energy spectrum and mean logarithmic mass of cosmic rays in the energy range of 0.3-30 PeV using data collected from LHAASO-KM2A between September 2021 and December 2022, […]

Xiaolong Du, Andrew Benson, Zhichao Carton Zeng, Tommaso Treu, Annika H. G. Peter | Summary: [[{“value”:”The internal structure and abundance of dark matter halos and subhalos are powerful probes of the nature of dark matter. In order to compare observations with dark matter models, accurate theoretical predictions of these quantities are needed. We present a […]

Xiaolong Du, Andrew Benson, Zhichao Carton Zeng, Tommaso Treu, Annika H. G. Peter | Summary: [[{“value”:”The internal structure and abundance of dark matter halos and subhalos are powerful probes of the nature of dark matter. In order to compare observations with dark matter models, accurate theoretical predictions of these quantities are needed. We present a […]

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, , , , | Summary: We present a comprehensive analysis of singular vector and singular subspace perturbations in the context of the signal plus random Gaussian noise matrix model. Assuming a low-rank signal matrix, we extend the Wedin-Davis-Kahan theorem in a fully generalized manner, applicable […]