核応用のためのLiF-NaF-KF溶融塩の組成と温度に依存する輸送と熱力学的性質の機械学習駆動探索
Guang-Ying Li1,2, Yu-Han Lv1,2, Li Zhang3
1College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China.
The journal of physical chemistry. B
|September 5, 2025
まとめ
この研究は,溶けた塩の性質をシミュレートするための正確な深層潜在モデルを作成しました. このモデルは,成分と温度がFLiNaK塩の構造と熱物理的特性をどのように影響するかを明らかにしています.
科学分野:
- コンピュータ材料科学
- 溶けた塩の熱物理的特性
- 原子炉の材料
背景:
- 溶けた塩,特にLiF-NaF-KF (FLiNAK) システムは,原子炉のような高度なアプリケーションに不可欠です.
- 顕微鏡構造と熱物理的性質の正確なシミュレーションは,材料設計と最適化に不可欠です.
- 既存のシミュレーション方法は,複雑な塩の混合物の総合的な研究に必要な効率と精度が欠けていることが多い.
研究 の 目的:
- FLiNAK溶塩システムをシミュレートするための高精度の深層電位 (DP) モデルを開発する.
- 様々な組成と温度におけるFLiNAK塩の構造と性質の関係を体系的に調査する.
- FLiNAKシステムに関するプロパティデータベースを拡張し,材料開発のための理論的指針を提供します.
主な方法:
- 密度関数理論 (DFT) と DP-GEN ワークフローを使用して,深層潜在的なモデルをトレーニングしました.
- 訓練データセットの繰り返し最適化のためのアクティブ・ラーニング戦略を採用しました.
- 22のFLiNAK組成で検証されたDPモデルを用いた大規模な分子動力学シミュレーションを実施した.
主要な成果:
- DPモデルはエネルギー,力,ストレスを正確に予測し,DFTと優れた一致を示しました.
- Li-Fイオンペアは,LiF含有量とともにカチオン調整数が増加する,最も強い局所的協調性を有することを特定した.
- NaFの濃度が主に密度を左右し,粘度が温度とKF含有量に強く依存し,温度とKF濃度が上昇すると減少することが示された.
- ユーテクティックシステムと比較して,高LiF含有量の非ユーテクティック組成物において,著しく高い熱容量 (Cp) を観測した.
結論:
- 開発されたDPモデルは,FLiNAKの溶融塩をシミュレートするための効率的で正確なツールを提供します.
- 構成 (LiF,NaF,KF含量) と温度がFLiNAKシステムの構造的および熱物理的性質を調節する上で果たす重要な役割を明らかにした.
- この発見は,特に高度な原子炉設計において,特定の用途のための溶けた塩の組成を最適化するための堅固な理論的基礎を提供します.
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