鋼のように強く発泡体のように軽い:機械学習とナノ 3D プリントで画期的な高性能ナノ構造材料を作製 (Strong as steel, light as foam: Machine learning and nano-3D printing produce breakthrough highperformance, nano-architected materials)

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2025-01-23 カナダ・トロント大学

トロント大学の研究チームは、機械学習とナノスケール3Dプリンティングを活用し、鋼鉄の強度と発泡スチロールの軽さを併せ持つナノアーキテクチャ構造材料を開発した。多目的ベイズ最適化アルゴリズムにより格子構造を最適化し、応力集中を抑える設計を実現。二光子重合3Dプリンターで製造されたこのカーボンナノ格子は、チタンの約5倍の比強度を持つ。航空宇宙や自動車、建築分野などでの応用が期待される革新的素材。

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カーボンナノ格子のベイズ最適化による超高比強度化 Ultrahigh Specific Strength by Bayesian Optimization of Carbon Nanolattices

Peter Serles, Jinwook Yeo, Michel Haché, Pedro Guerra Demingos, Jonathan Kong, Pascal Kiefer, Somayajulu Dhulipala, Boran Kumral, Katherine Jia, Shuo Yang, Tianjie Feng, Charles Jia …
Advanced Materials  Published: 23 January 2025
DOI:https://doi.org/10.1002/adma.202410651

鋼のように強く発泡体のように軽い:機械学習とナノ 3D プリントで画期的な高性能ナノ構造材料を作製 (Strong as steel, light as foam: Machine learning and nano-3D printing produce breakthrough highperformance, nano-architected materials)

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 m3 kg−1 at low densities <215 kg m−3 are created. Generative design optimization provides experimental improvements in strength and Young’s modulus by as much as 118% and 68%, respectively, at equivalent densities with entirely different lattice failure responses. Additionally, the reduction of nanolattice strut diameters to 300 nm produces a unique high-strength carbon with a pyrolysis-induced atomic gradient of 94% sp2 aromatic carbon and low oxygen impurities. Using multi-focus multi-photon polymerization, a millimeter-scalable metamaterial consisting of 18.75 million lattice cells with nanometer dimensions is demonstrated. Combining Bayesian optimized designs and nanoarchitected pyrolyzed carbon, the optimal nanostructures exhibit the strength of carbon steel at the density of Styrofoam offering unparalleled capabilities in light-weighting, fuel reduction, and contemporary design applications.

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