Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Magnetic confinement fusion research
Abstract
Version 3. Wording revision of 1.1.0 after review: the title is changed, the well-posedness claims are qualified as numerical (no existence-uniqueness theorem is claimed for the nonlinear heat problem), the inverse-square gain relation is described as an empirical fit over the tested range, the ITER89-P agreement is stated to be a consistency check, and a discussion subsection on compact, cost-constrained tokamak design is added. Computed results are unchanged. Supersedes 1.1.0 and 1.0.0 (the latter reported a fold at s_c = 0.047 that is an artifact of a first-order edge treatment). A computational and theoretical paper. No experimental data are used and all parameters are illustrative. Prepared for submission to IEEE Transactions on Plasma Science. A one-dimensional radial energy-transport model with fusion heating and a toroidal-rotation equation is used to study closures in which the heat diffusivity is suppressed by the local ExB shearing rate. The local closure, whose shearing rate contains the second derivative of the temperature, is numerically ill posed: the steady state depends on the edge treatment and a grid-scale instability appears at a threshold that grows as N^0.5 with the number of cells. An adaptive-field closure that smooths the shearing rate over a fixed length is stable and grid converged over the tested conditions, converges at second order, and gives a fusion gain that is fitted by an inverse-square relation in the suppression threshold (an empirical fit over the tested range, not a universal scaling). For the rotation equation, a steady flux relation F(L) L = Theta gives closed-form admissibility conditions (m ≤ 1; viscosity floors 1/9 and 0.3086) and the saturation, fold and hysteresis, reproduced by direct solutions to a relative error of 5e-11. The baseline is compared with the ITER89-P and IPB98(y,2) scalings, operating limits and neutral-beam torque (a consistency check, not a validation, because the edge temperature is imposed), and a Sobol study quantifies parameter uncertainty. Code and results: https://github.com/sandlerleon/tokamak-statedependent-closure, archived at 10.5281/zenodo.23267847.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026