34 citations · 34 across the 2 of their papers we have counts for
3 papers
physics.app-ph2023★ 88 cited
Strain Engineering for High-Performance Phase Change Memristors
Wenhui Hou, Ahmad Azizimanesh, Aditya Dey +7
A new mechanism for memristive switching in 2D materials is through electric-field controllable electronic/structural phase transitions, but these devices have not outperformed sta…
physics.chem-ph2022★ 34 cited
Graph neural networks for materials science and chemistry
Patrick Reiser, Marlen Neubert, André Eberhard +8
Machine learning plays an increasingly important role in many areas of chemistry and materials science, e.g. to predict materials properties, to accelerate simulations, to design n…
physics.app-ph2021
Insights into Cold Source MOSFETs with Sub-60 mV/decade and Negative Differential Resistance Effect
Yiheng Yin, Zhaofu Zhang, Chen Shao +2
To extend the Moores law in the 5 nm node, a large number of two dimensional (2D) materials and devices have been thoroughly researched, among which the cold metals 2H MS2 (M = Nb,…