逆設計による機能性ポリマー開発の新手法(Inverse design: A new pathway to custom functional polymers)

2026-03-16 アルゴンヌ国立研究所(ANL)

アルゴンヌ国立研究所の研究は、逆設計(inverse design)を用いて目的特性を持つ機能性ポリマーを効率的に創出する新手法を提示した。従来の試行錯誤型開発とは異なり、計算モデルや機械学習を活用して望ましい特性から分子構造を逆算し、設計指針を導出する点が特徴である。この手法により、材料探索の時間とコストを大幅に削減し、高性能材料の迅速な開発が可能となる。成果はエネルギー材料や環境対応材料など幅広い応用が期待され、材料科学とデータ駆動型設計の融合を示す重要な進展である。

逆設計による機能性ポリマー開発の新手法(Inverse design: A new pathway to custom functional polymers)
A vibrant array of electrochromic polymer samples showcases precise color tuning achieved through AI-driven inverse design, highlighting advancements in materials for smart display technologies. (Image by Argonne National Laboratory.)

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高効率かつ高精度な電気変色性ポリマーの自律合成と逆設計 Autonomous Synthesis and Inverse Design of Electrochromic Polymers with High Efficiency and Accuracy

Yukun Wu,Aikaterini Vriza,Doga Ozgulbas,Rafael Vescovi,Jianing Zhou,Zhiyang Wang,Shiyu Hu,Yuepeng Zhang,Qiaomu Yang,Anna M. Österholm,John R. Reynolds,Subramanian K. R. S. SankaranarayananMaria K. Y. Chan,,Ian T. Foster,Jianguo Mei,Henry Chan,Jie Xu
Journal of the American Chemical Society  Published: November 21, 2025
DOI:https://doi.org/10.1021/jacs.5c12241

Abstract

The design and synthesis of functional polymers, aimed at targeted properties through specific structures, have long been challenged by their complex and often nonlinear structure–property relationships. Key processes, including knowledge accumulation for predictive design and experimental refinement and validation, are traditionally labor-insensitive and time-consuming, making it difficult to balance accuracy and efficiency. Here, we introduce an accelerated, autonomous system for the on-demand synthesis of electronic polymers that achieves the desired electrochromic functionality with high accuracy and efficiency. Our approach leverages large language model-assisted data mining, a physics-informed copolymer machine learning model, and an AI-driven autonomous robotic workflow in the Polybot lab. Within 72 h, Polybot autonomously synthesized electrochromic polymers (ECPs) with targeted, previously-unreported color values, including green polymers with specific absorption profiles, precisely fine-tuning copolymer structures with a 5% step size in comonomer composition within a three-monomer system. A publicly accessible ECP informatics database has also been created to foster knowledge exchange.

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