Abstract: A hybrid time-domain numerical method based on the full wave finite-difference time-domain (FDTD) method combined with a modified 1-D FDTD method has been proposed to analyze the ...
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
PORTLAND, Ore. (KOIN) — After finding a phone with “numerous” images containing sexually explicit material while serving a search warrant, a Washington man was arrested on Sept. 24, the Skamania ...
Flat prior (not usually recommended); Super-vague but proper prior: normal(0, 1e6) (not usually recommended); Weakly informative prior, very weak: normal(0, 10); Generic weakly informative prior: ...
What Are FEM, FDM and FVM? FEM, FDM and FVM differ from one another in important ways. Understanding these distinctions is key to selecting the method most appropriate for your purposes. The ...
Large Language Models (LLMs) have transformed our engagement with artificial intelligence, enabling more natural and intuitive communication by generating human-like text and grasping complex ...
Abstract: In this work, we propose a numerical method to obtain an unconditionally stable solution for the finite-difference time-domain (FDTD) method for the TE/sub z/ case. This new method does not ...
This contribution proposes two third-order numerical schemes for solving time-dependent linear and non-linear partial differential equations (PDEs). For spatial discretization, a compact fourth-order ...
Many engineering applications request soft materials to maintain tough under monotonic loads, and fatigue-resistant under cyclic loads. While fracture toughness of a soft material can be enhanced by ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results