Work

Comprehensive comparisons of different fusion fuels by transfer learning

Year: 2025

Type: article

Abstract: Toward the application of inertial fusion energy, a comprehensive comparison of different fusion materials was made. Using the upgraded multi-fuel fusion package of the radiation-hydrodynamic code MULTI-IFE, datasets of fusion reactions for different fusion fuels were established. It was demonstrated that the D–3He reaction has the potential to achieve a fuel energy gain greater than 100, with an areal density of 4.67 g/cm2 and a temperature of 27 keV. Taking advantage of transfer learning, the pre-built deep neural network of D–T fuel was successfully translated to other materials, including D–3He and D–D fuels. Considering the generation of tritium and helium via D–D reactions, both the D–T and D–3He fuels would be acceptable for the upcoming clean and economic fusion power plants.

Source: Physics of Plasmas

DOI: 10.1063/5.0246387

Authors: Qianlei Du, Fuyuan Wu, Jie Zhang

Institution: Shanghai Jiao Tong University

Language: English

Topic: Laser-Plasma Interactions and Diagnostics

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: hybrid

Funders: National Natural Science Foundation of China, Strategic Pioneer Research Projects of Defense Science and Technology