Ultrahigh Specific Strength by Bayesian Optimization of Carbon Nanolattices

Nanoarchitected materials are at the frontier of metamaterial design and have set the benchmark for mechanical performance in several contemporary applications. However, traditional nanoarchitected designs with conventional topologies exhibit poor stress distributions and induce premature nodal fail...

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Bibliographic Details
Published in:Advanced materials (Weinheim) 2025-01, p.e2410651
Main Authors: Serles, Peter, Yeo, Jinwook, Haché, Michel, Demingos, Pedro Guerra, Kong, Jonathan, Kiefer, Pascal, Dhulipala, Somayajulu, Kumral, Boran, Jia, Katherine, Yang, Shuo, Feng, Tianjie, Jia, Charles, Ajayan, Pulickel M, Portela, Carlos M, Wegener, Martin, Howe, Jane, Singh, Chandra Veer, Zou, Yu, Ryu, Seunghwa, Filleter, Tobin
Format: Article
Language:English
Online Access:Get full text
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Summary:Nanoarchitected materials are at the frontier of metamaterial design and have set the benchmark for mechanical performance in several contemporary applications. However, traditional nanoarchitected designs with conventional topologies exhibit poor stress distributions and induce premature nodal failure. Here, using multi-objective Bayesian optimization and two-photon polymerization, optimized carbon nanolattices with an exceptional specific strength of 2.03 MPa m  kg at low densities
ISSN:1521-4095
1521-4095
DOI:10.1002/adma.202410651