Latent Learning with pyroMind.2020

Romanov, Vyacheslav

doi:10.1109/BigData52589.2021.9671643

Latent Learning with pyroMind.2020

Conference · 21 January 2022

DOI:https://doi.org/10.1109/BigData52589.2021.9671643· OSTI ID:1846097

Romanov, Vyacheslav ^[1]

NETL

This paper is for the Proceedings of the IEEE Big Data 2021 Conference (IEEE BigData 2021) published by IEEE Computer Society.

Research Organization:: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)

Sponsoring Organization:: USDOE Office of Fossil Energy (FE)

DOE Contract Number:: FWP-Avanced Alloy Development

OSTI ID:: 1846097

Resource Relation:: Conference: Conference Name: 2021 IEEE International Conference on Big Data (IEEE BigData 2021) Location: Virtual Start Date: 12/15/2021 12:00:00 AM End Date: 12/18/2021 12:00:00 AM

Country of Publication:: United States

Language:: English

References (7)

Deep-freeze graph training for latent learning Romanov, Vyacheslav N. Computational Materials Science, Vol. 199 https://doi.org/10.1016/j.commatsci.2021.110757	journal	November 2021
Mapping Non-Linear Influence of Alloying Elements on Tensile Strength of Martensitic Steel Romanov, Vyacheslav N.; Hawk, Jeffrey A. 2018 IEEE International Conference on Big Data (Big Data) https://doi.org/10.1109/BigData.2018.8622128	conference	December 2018
Predictions of long-term creep life for the family of 9–12 wt% Cr martensitic steels Verma, Amit K.; Hawk, Jeffrey A.; Romanov, Vyacheslav Journal of Alloys and Compounds, Vol. 815 https://doi.org/10.1016/j.jallcom.2019.152417	journal	January 2020
Mapping Multivariate Influence of Alloying Elements on Creep Behavior for Design of New Martensitic Steels Verma, Amit K.; Hawk, Jeffery A.; Bruckman, Laura S. Metallurgical and Materials Transactions A, Vol. 50, Issue 7 https://doi.org/10.1007/s11661-019-05234-9	journal	April 2019
Screening of heritage data for improving toughness of creep-resistant martensitic steels Verma, Amit K.; Huang, Wei-Heng; Hawk, Jeffrey A. Materials Science and Engineering: A, Vol. 763 https://doi.org/10.1016/j.msea.2019.138142	journal	August 2019
Materials data analytics for 9% Cr family steel Romanov, Vyacheslav N.; Krishnamurthy, Narayanan; Verma, Amit K. Statistical Analysis and Data Mining: The ASA Data Science Journal, Vol. 12, Issue 4 https://doi.org/10.1002/sam.11406	journal	February 2019
9Cr steel visualization and predictive modeling Krishnamurthy, Narayanan; Maddali, Siddharth; Hawk, Jeffrey A. Computational Materials Science, Vol. 168 https://doi.org/10.1016/j.commatsci.2019.03.015	journal	October 2019

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