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作 者:Namjung Kim Dongseok Lee Chanyoung Kim Dosung Lee Youngjoon Hong
机构地区:[1]Department of Mechanical Engineering,Gachon University,Seongnam,13120,Republic of Korea [2]Department of Mathematical Sciences,Korea Advanced Institute of Science and Technology,Daejeon,34141,Republic of Korea
出 处:《npj Computational Materials》2024年第1期714-723,共10页计算材料学(英文)
基 金:supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(NRF-2021R1A2C1093579);by the Korea government(MSIT)(RS-2023-00219980);supported by the National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(No.2022R1C1C1009387,No.2022R1A4A3033320);supported by the National Supercomputing Center with Supercomputing Resources,Republic of Korea,including technical support(KSC-2023-CRE-0303).
摘 要:Recent advancements in artificial intelligence(AI)-based design strategies for metamaterials have revolutionized the creation of customizable architectures spanning nano-to macro-scale dimensions.However,their increasing complexity poses challenges in generating diversemetamaterials,hindering widespread adoption.Here,we introduce an innovative design strategy for three-dimensional graph metamaterials through simple arithmetic operations within the latent space.By leveraging carefully designed hidden representations of disentangled latent space and diffusion processes,our method unravels design space complexity,generating diverse graph metamaterials with comprehensive understanding.This versatile methodology facilitates the creation of graph metamaterials ranging from repetitive lattices to functionally graded materials.Webelieve that this methodology represents a foundational step in advancing our comprehension of the intricate latent design space,offering the potential to establish a unified model for various traditional generative models in the realm of graph metamaterials.
关 键 词:ARITHMETIC GENERATING VERSATILE
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