activity
19962024
most citedMetal-insulator transition in two-dimensional electron systems

412 citations · 2.4k across the 64 of their papers we have counts for

collaborators

64 papers

cond-mat.str-el2024★ 4 cited

Stabilization of a two-dimensional quantum electron solid in perpendicular magnetic fields

M. Yu. Melnikov, D. G. Smirnov, A. A. Shashkin +3

We find that the double-threshold voltage-current characteristics in the insulating regime in the ultra-clean two-valley two-dimensional electron system in SiGe/Si/SiGe quantum wel…

cond-mat.mes-hall2024★ 5 cited

Triple-top-gate technique for studying the strongly interacting 2D electron systems in heterostructures

M. Yu. Melnikov, A. A. Shashkin, S. -H. Huang +2

We have developed a technique that dramatically reduces the contact resistances and depletes a shunting channel between the contacts outside the Hall bar in ultra-high mobility SiG…

cond-mat.str-el2023★ 8 cited

Collective depinning and sliding of a quantum Wigner solid in a 2D electron system

M. Yu. Melnikov, A. A. Shashkin, S. -H. Huang +2

We report the observation of two-threshold voltage-current characteristics accompanied by a peak of broadband current noise between the two threshold voltages in the insulating sta…

cond-mat.mes-hall2023★ 9 cited

Spin independence of the strongly enhanced effective mass in ultra-clean SiGe/Si/SiGe two-dimensional electron system

M. Yu. Melnikov, A. A. Shakirov, A. A. Shashkin +3

The effective mass at the Fermi level is measured in the strongly interacting two-dimensional (2D) electron system in ultra-clean SiGe/Si/SiGe quantum wells in the low-temperature…

cond-mat.str-el2022

Spin and valley effects on the quantum phase transition in two dimensions

A. A. Shashkin, S. V. Kravchenko

Using several independent methods, we find that the metal-insulator transition occurs in the strongly-interacting two-valley two-dimensional electron system in ultra-high mobility…

cond-mat.str-el2022★ 3 cited

Noise signal as input data in self-organized neural networks

V. Kagalovsky, D. Nemirovsky, S. V. Kravchenko

Self-organizing neural networks are used to analyze uncorrelated white noises of different distribution types (normal, triangular, and uniform). The artificially generated noises a…