Work

Editorial: Artificial Intelligence Applications in Nuclear Energy

Year: 2022

Type: editorial

Source: Frontiers in Energy Research

DOI: 10.3389/fenrg.2022.965581

Authors: Xianping Zhong, Jun Wang, Xingang Zhao, Yang Liu, Shripad T Revankar

Institutions: University of Pittsburgh, University of Wisconsin–Madison, Oak Ridge National Laboratory, Argonne National Laboratory, Purdue University West Lafayette

Language: English

Topic: Artificial Intelligence Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: gold

Estimated APC paid: $2,490

OpenAlex ID: W4284884597

Cites: 15

Cited by: 5

Related to: 10