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, to investigate dislocation core structures, dislocation mobility, and dislocation-driven mechanical behavior such as tension, compression, creep, and fatigue as functions of compositions, temperature, stress, time
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will engage in multiscale modeling and machine learning to develop reliable, efficient framework for predicting long-term creep and fatigue behaviors of heat-resistant structural alloys considering
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 4 hours ago
structured data from scanned records; (2) integrate open-source large language models into IDP research software; and (3) take part in the improvement of user interface and user experience of IDP research
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