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Updated: Feb 13, 2026

Bacterial Cellulose Spheres that Encapsulate Solid Materials
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封装材料の弾性プラスチック構成パラメータの機械学習逆転法

Mingqi Gao1,2, Tong Hu1, Yagang Zhang1

  • 1School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 611731, China.

Nanomaterials (Basel, Switzerland)
|February 12, 2026
PubMed
まとめ

この研究は,ナノインデントとニューラルネットワークを使用してマイクロ電子材料の性質を正確に測定するための新しい方法を提示しています. この技術は,3Dの異質的統合に不可欠な,弾性プラスチックパラメータの高精度を達成します.

キーワード:
構成パラメータである.電気塗装された銅.インバーション・インバーション機械学習 (Machine Learning) とは,機械学習 (Machine Learning) とは,機械学習 (Machine Learning) と呼ばれるものです.ナノインデンテーションナノインデンテーション

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