Chemistry in phase change energy storage: Properties regulation on organic phase change materials by covalent bond modification
L Geng, J Cui, C Zhang, Y Yan, J Zhao, C Liu - Chemical Engineering …, 2024 - Elsevier
Phase change materials (PCMs)-based thermal storage systems have a lot of potential uses
in energy storage and temperature control. However, organic PCMs (OPCMs) face …
in energy storage and temperature control. However, organic PCMs (OPCMs) face …
[HTML][HTML] Integrating machine learning with human knowledge
Machine learning has been heavily researched and widely used in many disciplines.
However, achieving high accuracy requires a large amount of data that is sometimes …
However, achieving high accuracy requires a large amount of data that is sometimes …
[HTML][HTML] Physics-based modelling and data-driven optimisation of a latent heat thermal energy storage system with corrugated fins
Solid-liquid phase transformation of a phase change material in a rectangular enclosure
with corrugated fins is studied. Employing a physics-based model, the influence of fin length …
with corrugated fins is studied. Employing a physics-based model, the influence of fin length …
Topology optimization via machine learning and deep learning: A review
S Shin, D Shin, N Kang - Journal of Computational Design and …, 2023 - academic.oup.com
Topology optimization (TO) is a method of deriving an optimal design that satisfies a given
load and boundary conditions within a design domain. This method enables effective design …
load and boundary conditions within a design domain. This method enables effective design …
Topology optimization for electromagnetics: A survey
The development of technologies for the additive manufacturing, in particular of metallic
materials, is offering the possibility of producing parts with complex geometries. This opens …
materials, is offering the possibility of producing parts with complex geometries. This opens …
人工智能在结构拓扑优化领域的现状与未来趋势.
阎军， 许琦， 张起， 范志瑞， 杜洪泽… - Chinese Journal of …, 2021 - search.ebscohost.com
摘要椇结构优化棳特别是结构拓扑优化棳受到学术界和工业界的广泛关注暎通过发展不同的
拓扑优化算法棳实现了众多具有卓越力学暍热学和声学等多学科性能的最优拓扑构型创新设计 …
拓扑优化算法棳实现了众多具有卓越力学暍热学和声学等多学科性能的最优拓扑构型创新设计 …
Disorder-induced topological state transition in the optical skyrmion family
Skyrmions endowed with topological protection have been extensively investigated in
various platforms including magnetics, ferroelectrics, and liquid crystals, stimulating …
various platforms including magnetics, ferroelectrics, and liquid crystals, stimulating …
Deep-learning accelerating topology optimization of three-dimensional coolant channels for flow and heat transfer in a proton exchange membrane fuel cell
To quickly optimize the cooling performance of three-dimensional coolant channels in a
proton exchange membrane fuel (PEMFC) cell, a generative adversarial network (GAN) …
proton exchange membrane fuel (PEMFC) cell, a generative adversarial network (GAN) …
Convolution hierarchical deep-learning neural network tensor decomposition (C-HiDeNN-TD) for high-resolution topology optimization
High-resolution structural topology optimization is extremely challenging due to a large
number of degrees of freedom (DoFs). In this work, a Convolution-Hierarchical Deep …
number of degrees of freedom (DoFs). In this work, a Convolution-Hierarchical Deep …
Generative multiscale analysis of de novo proteome-inspired molecular structures and nanomechanical optimization using a VoxelPerceiver transformer model
We report a method to generate de novo protein designs through a generative adversarial
neural network, MolShapeGAN, that can rapidly produce a large variety of nanoarchitected …
neural network, MolShapeGAN, that can rapidly produce a large variety of nanoarchitected …