ArticleAdvanced materials (Deerfield Beach, Fla.)2025
Ultrahigh Specific Strength by Bayesian Optimization of Carbon Nanolattices.
Article in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Enhancing Specific Stiffness of Nano-Architected Materials Through Generative AI and Active Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Recent Advances in Two-Photon Lithography of 3D Inorganic Microstructures: Glass, Ceramics, Metals, and Carbon.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- In situ mechanical characterization of functional and architected materials.Nature materials · 2026Review
- Precision Stress Engineering in Tensegrity-Inspired Nanoarchitectures Enabled by Size-Affected Shrinkage.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Tailoring Energy Absorption of Curved-Beam Lattices Through a Data-Driven Approach.Materials (Basel, Switzerland) · 2025Article
- Machine Learning-Driven Grayscale Digital Light Processing for Mechanically Robust 3D-Printed Gradient Materials.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Ultrahigh Specific Strength by Bayesian Optimization of Carbon Nanolattices.Advanced materials (Deerfield Beach, Fla.) · 2025Article
Corrections and comments
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Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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
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Registered trials
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