ReO4-除去におけるマルチメカニズム相互作用の主要メカニズムの解明:指向性吸着剤設計のための知識・データ二重駆動フレームワーク
Ling Yuan1, Han Zhang1, Chen Chen1
1State Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing 210023, China.
ACS applied materials & interfaces
|January 9, 2026
まとめ
新しい知識・データ二重駆動型機械学習フレームワークは、静電相互作用を過レニウム酸塩吸着の主要メカニズムとして正確に特定しました。この洞察により、放射性テクネチウム除去のために記録的な容量を持つ共有結合性有機構造体が設計されました。
背景:
- 核廃棄物からの過テクネチウム酸塩(TcO4-)の効率的な除去は、安全な処分にとって重要です。
- TcO4-の現在の吸着剤は、干渉要因による容量の限界と不明瞭な吸着メカニズムを示しています。
- 共有結合性有機構造体(COF)は吸着剤として有望ですが、最適化のためにはメカニズムの理解が必要です。
結論:
- DKD-MLフレームワークは、多孔質材料における複雑な吸着メカニズムを解明するのに効果的です。
- メカニズムの洞察によって導かれる標的吸着剤設計は、TcO4-のような重要な汚染物質の吸着容量を大幅に強化できます。
- この研究は、効率的な放射性廃棄物処理のための高度な吸着剤を開発するための道筋を提供します。
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