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Design of auxetic metamaterials using deep learning

Research Project

Project/Area Number 22KJ0407
Project/Area Number (Other) 22J11202 (2022)
Research Category

Grant-in-Aid for JSPS Fellows

Allocation TypeMulti-year Fund (2023)
Single-year Grants (2022)
Section国内
Review Section Basic Section 26040:Structural materials and functional materials-related
Research InstitutionNational Institute for Materials Science (2023)
University of Tsukuba (2022)

Principal Investigator

ZHENG Xiaoyang  国立研究開発法人物質・材料研究機構, マテリアル基盤研究センター, 特別研究員(PD)

Project Period (FY) 2023-03-08 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 2023: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2022: ¥900,000 (Direct Cost: ¥900,000)
KeywordsMaterial design / Mechanical metamaterial / Material informatics / Deep learning / Architected material / Materials and design / Finite element method / 3D printing / Inverse design
Outline of Research at the Start

This research will accelerate the revolution of designing complicated architected materials by removing guesswork from material design in a variety of applications. This work is based on deep learning with big data. A deep neural network will be trained using tens of thousands of structured data, which is similar to the way how species are differentiated and evolve by trial and error. The well-trained neural network is finally capable of generating flexible, tough auxetic metamaterials with extreme properties.

Outline of Annual Research Achievements

In this year, I have three main works, including a review article in terms of deep learning in mechanical metamaterials, a research article in terms of multiphase metamaterials with highly variable stiffness, and a research article in terms of text-to-microstructure generation using deep learning.
In the review article, I provide a comprehensive overview of the capabilities of deep learning in property prediction, geometry generation, and inverse design of mechanical metamaterials. Additionally, I highlight the potential of leveraging deep learning to create universally applicable datasets, intelligently designed metamaterials, and material intelligence.
In the second article, I propose three multiphase metamaterials derived from triply periodic minimal surfaces. The multiphase metamaterials possess highly variable stiffness based on thermally-induced phase transition.
In the third article, I propose a new deep learning framework that can generate different and diverse material microstructures using text prompts.
I have published 6 peer-reviewed papers on international journals and 1 patent during this academic year.

Report

(2 results)
  • 2023 Annual Research Report
  • 2022 Annual Research Report
  • Research Products

    (18 results)

All 2024 2023 2022 Other

All Journal Article (11 results) (of which Int'l Joint Research: 8 results,  Peer Reviewed: 11 results,  Open Access: 7 results) Presentation (3 results) (of which Int'l Joint Research: 2 results) Remarks (3 results) Patent(Industrial Property Rights) (1 results)

  • [Journal Article] Minimal-surface-based multiphase metamaterials with highly variable stiffness2024

    • Author(s)
      Zheng Xiaoyang、Watanabe Ikumu、Wang Siqian、Chen Ta-Te、Naito Masanobu
    • Journal Title

      Materials & Design

      Volume: 237 Pages: 112548-112548

    • DOI

      10.1016/j.matdes.2023.112548

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] De-icing performance evolution with increasing hydrophobicity by regulating surface topography2024

    • Author(s)
      Weng Wei、Zheng Xiaoyang、Tenjimbayashi Mizuki、Watanabe Ikumu、Naito Masanobu
    • Journal Title

      Science and Technology of Advanced Materials

      Volume: 25 Issue: 1 Pages: 2334199-2334199

    • DOI

      10.1080/14686996.2024.2334199

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed
  • [Journal Article] 3D Sodiophilic Mixed-ion-electron-conducting Framework of Hierarchical Nanowire Arrays for Ultra-stable Sodium-Metal Batteries2024

    • Author(s)
      Huang Jiawen、Huang Zhongyi、Zheng Xiaoyang、Wang Yan、Rui Xianhong、Yu Yan、Dou Shi-Xue、Wu Chao
    • Journal Title

      Energy Storage Materials

      Volume: 0 Pages: 103420-103420

    • DOI

      10.1016/j.ensm.2024.103420

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Deep Learning in Mechanical Metamaterials: From Prediction and Generation to Inverse Design2023

    • Author(s)
      Zheng Xiaoyang、Zhang Xubo、Chen Ta‐Te、Watanabe Ikumu
    • Journal Title

      Advanced Materials

      Volume: 35 Issue: 45 Pages: 2302530-2302530

    • DOI

      10.1002/adma.202302530

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Long Cycle Life and High‐Rate Sodium Metal Batteries Enabled by an Active/Inactive Co‐Sn alloy Interface2023

    • Author(s)
      Huang Zhongyi、Zheng Xiaoyang、Liu Haoxuan、Huang Jiawen、Xu Yi、Xu Xun、Dou Yuhai、Yuan Ding、Li Zhen、Dou Shi‐Xue、Liu Hua‐Kun、Chou Shulei、Wu Chao
    • Journal Title

      Advanced Functional Materials

      Volume: 34 Issue: 5 Pages: 2302062-2302062

    • DOI

      10.1002/adfm.202302062

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Multifunctional Separator Enables High‐Performance Sodium Metal Batteries in Carbonate‐Based Electrolytes2023

    • Author(s)
      Liu Haoxuan、Zheng Xiaoyang、Du Yumeng、Borr?s Marcela Chaki、Wu Kuan、Konstantinov Konstantin、Pang Wei Kong、Chou Shulei、Liu Huakun、Dou Shixue、Wu Chao
    • Journal Title

      Advanced Materials

      Volume: 36 Issue: 5 Pages: 2307645-2307645

    • DOI

      10.1002/adma.202307645

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Deep-learning-based inverse design of three-dimensional architected cellular materials with the target porosity and stiffness using voxelized Voronoi lattices2023

    • Author(s)
      Zheng Xiaoyang、Chen Ta-Te、Jiang Xiaoyu、Naito Masanobu、Watanabe Ikumu
    • Journal Title

      Science and Technology of Advanced Materials

      Volume: 24 Issue: 1 Pages: 2157682-2157682

    • DOI

      10.1080/14686996.2022.2157682

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Regulating the Coordination Geometry and Oxidation State of Single‐Atom Fe Sites for Enhanced Oxygen Reduction Electrocatalysis2023

    • Author(s)
      Wang Minjie、Wang Li、Li Qingbin、Wang Dan、Yang Liu、Han Yongjun、Ren Yuan、Tian Gang、Zheng Xiaoyang、Ji Muwei、Zhu Caizhen、Peng Lishan、Waterhouse Geoffrey I. N.
    • Journal Title

      Small

      Volume: 1 Issue: 24 Pages: 2300373-2300373

    • DOI

      10.1002/smll.202300373

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Reprogrammable flexible mechanical metamaterials2022

    • Author(s)
      Zheng Xiaoyang、Uto Koichiro、Hu Wei-Hsun、Chen Ta-Te、Naito Masanobu、Watanabe Ikumu
    • Journal Title

      Applied Materials Today

      Volume: 29 Pages: 101662-101662

    • DOI

      10.1016/j.apmt.2022.101662

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Nonionic Surfactant-Assisted In Situ Generation of Stable Passivation Protective Layer for Highly Stable Aqueous Zn Metal Anodes2022

    • Author(s)
      Zhang Yuanjun、Zheng Xiaoyang、Wu Kuan、Zhang Ying、Xu Gang、Wu Minghong、Liu Hua-Kun、Dou Shi-Xue、Wu Chao
    • Journal Title

      Nano Letters

      Volume: 22 Issue: 21 Pages: 8574-8583

    • DOI

      10.1021/acs.nanolett.2c03114

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Towards stable sodium metal battery with high voltage output through dual electrolyte design2022

    • Author(s)
      Zhu Ming、Zheng Xiaoyang、Li Lulu、Zhu Xiaolong、Huang Zhongyi、Wang Guanyao、Zhang Yuanjun、Liu Haoxuan、Yu Fangfang、Wen Liaoyong、Liu Hua-Kun、Dou Shi-Xue、Wu Chao
    • Journal Title

      Energy Storage Materials

      Volume: 48 Pages: 466-474

    • DOI

      10.1016/j.ensm.2022.03.040

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Deep Learning in Mechanical Metamaterials2023

    • Author(s)
      ZHENG Xiaoyang, WATANABE Ikumu
    • Organizer
      Summit of Materials Science 2023 and GIMRT User Meeting 2023
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Reprogrammable Mechanical Metamaterials.2023

    • Author(s)
      ZHENG Xiaoyang, UTO Koichiro, WATANABE Ikumu
    • Organizer
      NIMS Award Symposium 2023
    • Related Report
      2023 Annual Research Report
  • [Presentation] Inverse Design of Voxelized Architected Materials2023

    • Author(s)
      ZHENG Xiaoyang, WATANABE Ikumu
    • Organizer
      XVII International Conference on Computational Plasticity
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Remarks] NIMS Samurai

    • URL

      https://samurai.nims.go.jp/profiles/zheng_xiaoyang?locale=en

    • Related Report
      2023 Annual Research Report
  • [Remarks] Researchmap

    • URL

      https://researchmap.jp/zhengxiaoyang

    • Related Report
      2023 Annual Research Report
  • [Remarks] My homepage

    • URL

      https://sites.google.com/view/xiaoyang-zheng

    • Related Report
      2022 Annual Research Report
  • [Patent(Industrial Property Rights)] 部材、アクチュエータ、及び形状記憶部材2023

    • Inventor(s)
      甲一郎 宇都, 育夢 渡邊, Xiaoyang Zheng
    • Industrial Property Rights Holder
      国立研究開発法人物質・材料研究機構
    • Industrial Property Rights Type
      特許
    • Filing Date
      2023
    • Acquisition Date
      2023
    • Related Report
      2023 Annual Research Report

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Published: 2022-04-28   Modified: 2024-12-25  

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