核融合施設用の新しい合金を見つけるためのAIモデルデータベースを研究者が構築(Researchers build AI model database to find new alloys for nuclear fusion facilities)

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2024-09-19 オークリッジ国立研究所(ORNL)

オークリッジ国立研究所(ORNL)の研究者たちは、核融合炉のシールド材となる新しい合金を見つけるためにAIモデルを開発しました。このモデルはニオブ(Nb)、タンタル(Ta)、バナジウム(V)を含む原子配置を特定し、高温耐性と機械的強度を備えた合金の発見を支援します。AIにより従来の試行錯誤を効率化し、新材料の開発を促進します。これにより、核融合施設の性能向上への一歩を踏み出しました。

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体心立方構造を持つ固溶体ニオブ-タンタル-バナジウム合金の第一原理データ First-principles data for solid solution niobium-tantalum-vanadium alloys with body-centered-cubic structures

Massimiliano Lupo Pasini,German Samolyuk,Markus Eisenbach,Jong Youl Choi,Junqi Yin & Ying Yang
Scientific Data  Published:22 August 2024
DOI:https://doi.org/10.1038/s41597-024-03720-3

核融合施設用の新しい合金を見つけるためのAIモデルデータベースを研究者が構築(Researchers build AI model database to find new alloys for nuclear fusion facilities)

Abstract

We present four open-source datasets that provide results of density functional theory (DFT) calculations of ground-state properties of refractory solid solution binary alloys niobium-tantalum (NbTa), niobium-vanadium (NbV), tantalum-vanadium (TaV), and ternary alloys NbTaV ordered in body-centered-cubic (BCC) structures with 128 Bravais lattice sites. The first-principles code used to run the calculations is the Vienna Ab-Initio Simulation Package. The calculations have been collected by uniformly sampling chemical compositions across the entire compositional range. For each chemical composition, the calculations have been run for 100 randomized arrangements of the constituents on the BCC lattice sites. This sampling methodology resulted in running DFT simulations for a total of 3,100 randomized atomic configurations over 31 chemical compositions for each of the three binary alloys Nb-Ta, Nb-V, Ta-V, and a total of 10,500 randomized atomic structures over 105 chemical compositions for the ternary alloys Nb-Ta-V. For each atomic configuration, geometry optimization has been performed, and the data released contains information about each step of geometry optimization for each atomic configuration.

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