Kavli Affiliate: J. S. Villasenor | First 5 Authors: Marc Basquens, Antonio Lasanta, Emanuel Mompó, Valle Varo, Eduardo J. S. Villaseñor | Summary: We examine relativistic diffusion through the frame and observer bundles associated with a Lorentzian manifold $(M,g)$. Our focus is on spacetimes with a non-trivial isometry group, and we detail the conditions required […]
Kavli Affiliate: J. S. Villasenor | First 5 Authors: Marc Basquens, Antonio Lasanta, Emanuel Mompó, Valle Varo, Eduardo J. S. Villaseñor | Summary: We examine relativistic diffusion through the frame and observer bundles associated with a Lorentzian manifold $(M,g)$. Our focus is on spacetimes with a non-trivial isometry group, and we detail the conditions required […]
Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Chengzhe Li, Hui Li, Wei Cui, Federico Marinacci, Laura V. Sales | Summary: Stellar feedback plays a crucial role in regulating baryon cycles of a galactic ecosystem, and may manifest itself in the formation of superbubbles in the interstellar medium. In this work, we used a set […]
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: Masahito Yamazaki | First 5 Authors: Norikazu Yamada, Masahito Yamazaki, Ryuichiro Kitano, , | Summary: We apply the previously-developed sub-volume method to study the $theta$-dependence of the four-dimensional SU(2) Yang-Mills theory. We calculate the first two coefficients, the topological susceptibility $chi$ and the fourth cumulant $b_2$, in the $theta$-expansion of the free energy […]
Kavli Affiliate: Masahito Yamazaki | First 5 Authors: Norikazu Yamada, Masahito Yamazaki, Ryuichiro Kitano, , | Summary: We apply the previously-developed sub-volume method to study the $theta$-dependence of the four-dimensional SU(2) Yang-Mills theory at finite temperature. We calculate the first two coefficients, the topological susceptibility $chi$ and the fourth cumulant $b_2$, in the $theta$-expansion of […]