ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Apr 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
May 2026
Nuclear Technology
February 2026
Fusion Science and Technology
Latest News
EnergySolutions to be reacquired by investment firm ECP
The investment firm Energy Capital Partners (ECP) is to reacquire nuclear services company EnergySolutions from TriArtisan Capital Advisors, it was announced yesterday. Terms of the transaction, which is expected to close in 2026, subject to customary regulatory approvals, were not disclosed.
V. E. Moiseenko
Fusion Science and Technology | Volume 47 | Number 1 | January 2005 | Pages 116-119
Technical Paper | Open Magnetic Systems for Plasma Confinement | doi.org/10.13182/FST05-A620
Articles are hosted by Taylor and Francis Online.
The problem of numerically solving of time-harmonic Maxwell's equations in plasma is addressed. The boundary problems for two representations of them: in terms of electric field and in terms of potentials are discussed.The reason for that the discretized Maxwell's equations in terms of electric field could be numerically unstable is explained. The measures to avoid the instabilities are briefly addressed.The problems arising from the stiffness of Maxwell's equations in plasma are analyzed. In this respect an advantage of recently proposed weighted residuals scheme with uniform trial functions before standard numerically stable Galerkin scheme is emphasizedAmong methods of solving the system of linear algebraic equations that is the result of discretization the particular attention is paid to usage of modern iterative schemes.A tree-dimensional numerical model based on iterative approach for magnetized plasma is presented.