activity
20172023
most citedA full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms

136 citations · 282 across the 12 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cond-mat.str-el2021★ 11 cited

Modification of unconventional Hall effect with doping at the non-magnetic site in a 2D van der Waals ferromagnet

Rajeswari Roy Chowdhury, Chandan Patra, Samik DuttaGupta +4

Two-dimensional (2D) van der Waals (vdW) magnetic materials have garnered considerable attention owing to the existence of magnetic order down to atomic dimensions and flexibility…

physics.app-ph2021

Spintronic memristors for computing

Qiming Shao, Zhongrui Wang, Yan Zhou +3

The ever-increasing amount of data from ubiquitous smart devices fosters data-centric and cognitive algorithms. Traditional digital computer systems have separate logic and memory…

cond-mat.mtrl-sci2021

Large Exotic Spin Torques in Antiferromagnetic Iron Rhodium

Jonathan Gibbons, Takaaki Dohi, Vivek P. Amin +16

Spin torque is a promising tool for driving magnetization dynamics for novel computing technologies. These torques can be easily produced by spin-orbit effects, but for most conven…

cond-mat.mes-hall2021

Emergent inductance by dynamical Aharonov-Casher phases

Yuta Yamane, Shunsuke Fukami, Jun'ichi Ieda

We propose a mechanism of inductance operation originating from a dynamical Aharonov-Casher (AC) phase of an electron in ferromagnets. By taking into account spin-orbit coupling ef…

cond-mat.mes-hall2021

Roadmap of spin-orbit torques

Qiming Shao, Peng Li, Luqiao Liu +16

Spin-orbit torque (SOT) is an emerging technology that enables the efficient manipulation of spintronic devices. The initial processes of interest in SOTs involved electric fields,…

cond-mat.mes-hall2021

Hardware-aware Boltzmann machine learning using stochastic magnetic tunnel junctions

Jan Kaiser, William A. Borders, Kerem Y. Camsari +3

One of the big challenges of current electronics is the design and implementation of hardware neural networks that perform fast and energy-efficient machine learning. Spintronics i…