Machine Learning and Artificial Intelligence-Driven Multi-scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications

Shamim Hassan; Abid Hossain Khan; Richa Verma; Dinesh Kumar; Kazuma Kobayashi; Shoaib Usman; Syed Alam

doi:10.1007/978-3-030-97940-9_149

Machine Learning and Artificial Intelligence-Driven Multi-scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications

Shamim Hassan
, Abid Hossain Khan
, Richa Verma
, Dinesh Kumar
, Kazuma Kobayashi
, Shoaib Usman
, Syed Alam

Nuclear Engineering and Radiation Science

Bangladesh University of Engineering and Technology
Indian Institute of Technology Delhi
University of Bristol
Missouri University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English
Title of host publication	Handbook of Smart Energy Systems
Subtitle of host publication	Volume 1-4
Publisher	Springer International Publishing
Pages	2131-2154
Number of pages	24
Volume	1-4
ISBN (Electronic)	9783030979409
ISBN (Print)	9783030979393
DOIs	https://doi.org/10.1007/978-3-030-97940-9_149
State	Published - Jan 1 2023

ASJC Scopus Subject Areas

General Economics,Econometrics and Finance
General Business,Management and Accounting
General Mathematics
General Environmental Science
General Energy
General Engineering

Keywords

Accident-tolerant fuel
Artificial intelligence
Digital twin
Machine learning
Multiscale modeling
Small modular reactor

Access to Document

10.1007/978-3-030-97940-9_149

Cite this

Hassan, S., Khan, A. H., Verma, R., Kumar, D., Kobayashi, K., Usman, S., & Alam, S. (2023). Machine Learning and Artificial Intelligence-Driven Multi-scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications. In Handbook of Smart Energy Systems: Volume 1-4 (Vol. 1-4, pp. 2131-2154). Springer International Publishing. https://doi.org/10.1007/978-3-030-97940-9_149

Machine Learning and Artificial Intelligence-Driven Multi-scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications. / Hassan, Shamim; Khan, Abid Hossain; Verma, Richa et al.
Handbook of Smart Energy Systems: Volume 1-4. Vol. 1-4 Springer International Publishing, 2023. p. 2131-2154.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Hassan, S, Khan, AH, Verma, R, Kumar, D, Kobayashi, K, Usman, S & Alam, S 2023, Machine Learning and Artificial Intelligence-Driven Multi-scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications. in Handbook of Smart Energy Systems: Volume 1-4. vol. 1-4, Springer International Publishing, pp. 2131-2154. https://doi.org/10.1007/978-3-030-97940-9_149

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Machine Learning and Artificial Intelligence-Driven Multi-scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications

ASJC Scopus Subject Areas

Keywords

Access to Document

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