Ionic liquids (ILs) are promising eco-friendly solvents for carbon dioxide (CO2) dissolution and capture. Utilizing deep neural network modeling to accelerate the design and …
Physics–Informed Neural Networks (PINNs) have demonstrated efficacy in solving both forward and inverse problems for nonlinear partial differential equations (PDEs). However, they …
In industrial manufacturing, the measurability of surface defects directly impacts the accuracy of quality assessment and the effectiveness of process control. While object …
This study evaluates the applicability of the physics-informed operator network (PIO-Net) for reconstructing subsurface density anomalies (SDAs) based on sea surface density. …
传统的胶囊网络架构是基于动态路由机制实现的，需要大量迭代和向量计算来更新权值系数，并且胶囊之间不存在信息共享，导致信息冗余。针对这一缺陷，本工作提出了一种基于融合深度胶囊网络的多声音事件检测模型，在门控卷积和3D卷积下通过动态路由减少了特征重叠导致的信息冗余，并且对原始特征进行编码，将其用于特征信息补充，提高了训练次数模型的速度和准确性。本工作使用 …
Hyperbolic conservation laws play a critical role in various fields, including aerodynamics, physics, and oceanography. However, traditional physics-informed neural networks …
The concentration characteristics of SO2, NO2, O3, and CO in the marine atmosphere are of great significance for understanding air-sea interactions and regional atmospheric …
In this article, the problem of event-triggered (ET) adaptive finite-time tracking control is investigated for full-state constrained stochastic nonlinear systems with unknown …
Accurate estimation of high-resolution thermocline depth is important for investigating ocean processes and climate variability on multiple scales. Due to the sparse coverage and …
单桩是海上风电工程中最常用的基础形式，桩-土相互作用关系是桩基设计中需要重点考虑的因素。现有设计规范中的推荐公式适用于砂土和黏土这两种极端土质。然而，在全球范围内广泛分布着兼具砂土和黏土特性（非零内聚力和非零摩擦角）的过渡土质——粉土。若仅考虑单一土质特性，可能会造成桩基设计的不经济性和不可靠性。此外，传统的p-y模型主要针对单一长径比的桩基，而对于长径比动 …