We investigate the dynamical switching process of Heat Assisted Magnetic Recording (HAMR) by numerical calculations of switching probability using an atomistic model. Calculations show that at the elevated write temperature of HAMR there is a loss of information arising from ’backswitching’: a thermodynamic phenomenon which comes into play when the ratio of the Zeeman energy to the thermal energy is insufficiently large to completely stabilise the switched direction. We consider the special case of Heated Dot Magnetic Recording, where a reduction of switching probability can be related to a bit error rate. We show that the backswitching becomes more pronounced at faster write times. Also, we show that in the case of current recording media,...
In this work we describe an alternative strategy for the development of heat assisted magnetic recor...
University of Minnesota Ph.D. dissertation. December 2017. Major: Physics. Advisor: Randall Victora....
We employ an atomistic model using a nearest-neighbor Heisenberg Hamiltonian exchange to study compu...
As cloud computing and massive-data machine learning are applied pervasively, ultra-high volume data...
AbstractThe current magnetic recording technology is approaching its theoretical boundary known as a...
University of Minnesota Ph.D. dissertation. November 2018. Major: Electrical/Computer Engineering. A...
Heat-assisted magnetic recording (HAMR) technology represents the most promising candidate to replac...
The dynamic process of assisted magnetic switchings has been simulated to investigate the associated...
The current state of the art technology for ultra-high density magnetic storage is based on heat ass...
Abstract. The storage capacity of hard disk drives has increased tremen-dously over the last decade....
University of Minnesota Ph.D. dissertation. June 2017. Major: Electrical/Computer Engineering. Advis...
The continuing need for increased information storage capacity has driven a remarkable increase in a...
As data generated worldwide are growing explosively, it is crucial to increase the areal density of ...
The thermal stability of the information stored in magnetic recording media is determined by a compl...
University of Minnesota Ph.D. dissertation. March 2021. Major: Electrical Engineering. Advisor: Rand...
In this work we describe an alternative strategy for the development of heat assisted magnetic recor...
University of Minnesota Ph.D. dissertation. December 2017. Major: Physics. Advisor: Randall Victora....
We employ an atomistic model using a nearest-neighbor Heisenberg Hamiltonian exchange to study compu...
As cloud computing and massive-data machine learning are applied pervasively, ultra-high volume data...
AbstractThe current magnetic recording technology is approaching its theoretical boundary known as a...
University of Minnesota Ph.D. dissertation. November 2018. Major: Electrical/Computer Engineering. A...
Heat-assisted magnetic recording (HAMR) technology represents the most promising candidate to replac...
The dynamic process of assisted magnetic switchings has been simulated to investigate the associated...
The current state of the art technology for ultra-high density magnetic storage is based on heat ass...
Abstract. The storage capacity of hard disk drives has increased tremen-dously over the last decade....
University of Minnesota Ph.D. dissertation. June 2017. Major: Electrical/Computer Engineering. Advis...
The continuing need for increased information storage capacity has driven a remarkable increase in a...
As data generated worldwide are growing explosively, it is crucial to increase the areal density of ...
The thermal stability of the information stored in magnetic recording media is determined by a compl...
University of Minnesota Ph.D. dissertation. March 2021. Major: Electrical Engineering. Advisor: Rand...
In this work we describe an alternative strategy for the development of heat assisted magnetic recor...
University of Minnesota Ph.D. dissertation. December 2017. Major: Physics. Advisor: Randall Victora....
We employ an atomistic model using a nearest-neighbor Heisenberg Hamiltonian exchange to study compu...