Effects of biased and unbiased illuminations on dopant-free GaAs/AlGaAs 2DEGs

no code implementations • 28 Dec 2020 • A. Shetty, F. Sfigakis, W. Y. Mak, K. Das Gupta, B. Buonacorsi, M. C. Tam, H. S. Kim, I. Farrer, A. F. Croxall, H. E. Beere, A. R. Hamilton, M. Pepper, D. G. Austing, S. A. Studenikin, A. Sachrajda, M. E. Reimer, Z. R. Wasilewski, D. A. Ritchie, J. Baugh

Unbiased (biased) illuminations are performed at low temperatures on dopant-free two-dimensional electron gases (2DEGs) at different depths in undoped GaAs/AlGaAs, while gates are kept grounded (held at a finite voltage, either positive or negative).

Mesoscale and Nanoscale Physics

Deep neural network Grad-Shafranov solver constrained with measured magnetic signals

no code implementations • 7 Nov 2019 • Semin Joung, Jaewook Kim, Sehyun Kwak, J. G. Bak, S. G. Lee, H. S. Han, H. S. Kim, Geunho Lee, Daeho Kwon, Y. -c. Ghim

A neural network solving Grad-Shafranov equation constrained with measured magnetic signals to reconstruct magnetic equilibria in real time is developed.

Imputation