350 citations · 1.1k across the 18 of their papers we have counts for
19 papers
Magnetization dynamics driven by displacement currents across a magnetic tunnel junction
C. K. Safeer, Paul S. Keatley, Witold Skowroński +11
Understanding the high-frequency transport characteristics of magnetic tunnel junctions (MTJs) is crucial for the development of fast-operating spintronics memories and radio frequ…
Machine learning inspired models for Hall effects in non-collinear magnets
Jonathan Kipp, Fabian R. Lux, Thorben Pürling +4
The anomalous Hall effect has been front and center in solid state research and material science for over a century now, and the complex transport phenomena in nontrivial magnetic…
Toxic Liquidation Spirals
Jakub Warmuz, Amit Chaudhary, Daniele Pinna
On November 22nd 2022, the lending platform AAVE v2 (on Ethereum) incurred bad debt resulting from a major liquidation event involving a single user who had borrowed close to $40M…
A multi-asset, agent-based approach applied to DeFi lending protocol modelling
Amit Chaudhary, Daniele Pinna
We assess the market risk of the DeFi lending protocols using a multi-asset agent-based model to simulate ensembles of users subject to price-driven liquidation risk. Our multi-ass…
Nanomagnetic Self-Organizing Logic Gates
Pieter Gypens, Jonathan Leliaert, Massimiliano Di Ventra +2
The end of Moore's law for CMOS technology has prompted the search for low-power computing alternatives, resulting in several promising proposals based on magnetic logic[1-8]. One…
Characterizing breathing dynamics of magnetic (anti-)skyrmions within the Hamiltonian formalism
B. F. McKeever, D. R. Rodrigues, D. Pinna +3
We derive an effective Hamiltonian system describing the low energy dynamics of circular magnetic skyrmions and antiskyrmions. Using scaling and symmetry arguments we model (anti-)…
Reservoir Computing with Random Skyrmion Textures
Daniele Pinna, George Bourianoff, Karin Everschor-Sitte
The Reservoir Computing (RC) paradigm posits that sufficiently complex physical systems can be used to massively simplify pattern recognition tasks and nonlinear signal prediction.…
Thermal skyrmion diffusion applied in probabilistic computing
Jakub Zázvorka, Florian Jakobs, Daniel Heinze +11
Thermally activated processes are key to understanding the dynamics of physical systems. Thermal diffusion of (quasi-)particles for instance not only yields information on transpor…
Coherent spin-transfer precession switching in orthogonal spin-torque devices
Graham E. Rowlands, Colm A. Ryan, Li Ye +4
We present experimental results and macrospin simulations of the switching characteristics of orthogonal spin-transfer devices incorporating an out-of-plane magnetized polarizing l…
Potential implementation of Reservoir Computing models based on magnetic skyrmions
George Bourianoff, Daniele Pinna, Matthias Sitte +1
Reservoir Computing is a type of recursive neural network commonly used for recognizing and predicting spatio-temporal events relying on a complex hierarchy of nested feedback loop…
Skyrmion Gas Manipulation for Probabilistic Computing
Daniele Pinna, Flavio Abreu Araujo, Joo-Von Kim +5
The topologically protected magnetic spin configurations known as skyrmions offer promising applications due to their stability, mobility and localization. In this work, we emphasi…
Reliable spin-transfer torque driven precessional magnetization reversal with an adiabatically decaying pulse
Daniele Pinna, Colm Ryan, Thomas Ohki +1
We show that a slowly decaying current pulse can lead to nearly deterministic precessional switching in the presence of noise. We consider a biaxial macrospin, with an easy axis in…
Large Fluctuations and Singular Behavior of Nonequilibrium Systems
Daniele Pinna, Andrew D. Kent, Daniel L. Stein
We present a general geometrical approach to the problem of escape from a metastable state in the presence of noise. The accompanying analysis leads to a simple condition, based on…
Bipolar switching in an orthogonal spin transfer spin valve device
Li Ye, Georg Wolf, Daniele Pinna +2
We demonstrate current-induced bipolar switching in in-plane magnetized spin-valve devices that incorporate a perpendicularly magnetized spin polarizing layer. Further, hysteretic…
Spin Torque Oscillators with Thermal Noise: A Constant Energy Orbit Approach
Daniele Pinna, Daniel L. Stein, Andrew D. Kent
We consider a biaxial macrospin with an easy and hard axis, and study its dynamical evolution under the combined effects of thermal noise and spin transfer torque. The spin-torque…
Thermally-Assisted Spin-Transfer Torque Dynamics in Energy Space
Daniele Pinna, Andrew D. Kent, Daniel L. Stein
We consider the general Landau-Lifshitz-Gilbert theory underlying the magnetization dynamics of a macrospin magnet subject to spin-torque effects and thermal fluctuations. Thermall…
Spin-Transfer Torque Magnetization Reversal in Uniaxial Nanomagnets with Thermal Noise
D. Pinna, A. D. Kent, D. L. Stein
We consider the general Landau-Lifshitz-Gilbert (LLG) dynamical theory underlying the magnetization switching rates of a thin film uniaxial magnet subject to spin-torque effects an…
Thermally-Assisted Spin-Transfer Torque Magnetization Reversal of Uniaxial Nanomagnets in Energy Space
D. Pinna, A. D. Kent, D. L. Stein
The asymptotic behavior of switching time as a function of current for a uniaxial macrospin under the effects of both spin-torque and thermal noise is explored analytically by focu…
Thermally-Assisted Spin-Transfer Torque Magnetization Reversal in Uniaxial Nanomagnets
D. Pinna, Aditi Mitra, D. L. Stein +1
We simulate the stochastic Landau-Lifshitz-Gilbert (LLG) dynamics of a uniaxial nanomagnet out to sub-millisecond timescales using a graphical processing unit based micromagnetic c…