Analysis of artificial intelligence-discovered patterns and expert-designed aging patterns for 0.2 % proof stress in Ni-Al alloys with γ – γ' two-phase structure

Analysis of artificial intelligence-discovered patterns and expert-designed aging patterns for 0.2 % proof stress in Ni-Al alloys with γ – γ' two-phase structure

This study presents the comprehensive analysis of flexible non-isothermal aging (NIA) patterns discovered through artificial intelligence (AI) to improve the mechanical strength (0.2 % proof stress) in γ – γ' two-phase, binary Ni-Al alloys. In our recent investigation, we found that the AI algo...

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Bibliographic Details
Main Authors: Vickey Nandal, Sae Dieb, Dmitry S. Bulgarevich, Toshio Osada, Toshiyuki Koyama, Satoshi Minamoto, Masahiko Demura
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Next Materials
Subjects:
Artificial intelligence
Monte carlo tree search
Non-isothermal aging
Ni-Al alloys
Pattern analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2949822825000826
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