Latent Learning with pyroMind.2020
Author:
Affiliation:
1. NETL,U.S. Department of Energy,Pittsburgh,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9671263/9671273/09671643.pdf?arnumber=9671643
Reference9 articles.
1. Deep-freeze graph training for latent learning
2. Mapping Non-Linear Influence of Alloying Elements on Tensile Strength of Martensitic Steel
3. Predictions of long-term creep life for the family of 9–12 wt% Cr martensitic steels
4. Convoluted filtering for process cycle modeling;romanov;Math Methods Appl Sci,0
5. Mapping Multivariate Influence of Alloying Elements on Creep Behavior for Design of New Martensitic Steels
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Adversarial Ensemble Modeling of Multi-modal Mechanical Properties for Iron-Based Alloys;JOM;2022-02-14
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