activity
20232026
most citedEntropy-Assisted Nanosecond stochastic operation in perpendicular superparamagnetic tunnel junctions

2 citations · 4 across the 6 of their papers we have counts for

collaborators

7 papers

physics.app-ph2026

Stochastic binary networks with asymmetric and time-delayed interactions

Hantao Zhang, Sidra Gibeault, Matthew W. Daniels +4

Stochastic binary networks are widely used to describe collective dynamics in complex systems and to perform neuromorphic computation, yet realistic networks often contain both asy…

cond-mat.mes-hall2026

Deterministic control of the probabilistic phase dynamics in injection-locked spin-torque nano-oscillators

Abderrazak Hakam, Chloé Chopin, Nhat-Tan Phan +8

Spin-torque nano-oscillators (STNOs) inherently exhibit thermally driven phase fluctuations that render their dynamics truly stochastic. Here, we demonstrate that, despite this int…

cs.ET2024

Sampling from exponential distributions in the time domain with superparamagnetic tunnel junctions

Temitayo N. Adeyeye, Sidra Gibeault, Daniel P. Lathrop +8

In the superparamagnetic regime, magnetic tunnel junctions switch between two resistance states due to random thermal fluctuations. The dwell time distribution in each state is exp…

physics.app-ph2024

Measurement-driven Langevin modeling of superparamagnetic tunnel junctions

Liam A. Pocher, Temitayo N. Adeyeye, Sidra Gibeault +7

Superparamagnetic tunnel junctions are important devices for a range of emerging technologies, but most existing compact models capture only their mean switching rates. Capturing q…

cond-mat.mtrl-sci2024★ 2 cited

Entropy-Assisted Nanosecond stochastic operation in perpendicular superparamagnetic tunnel junctions

Lucile Soumah, Louise Desplat, Nhat-Tan Phan +7

We demonstrate a good agreement between mean dwell times measured in 50~nm diameter, perpendicularly magnetized superparamagnetic tunnel junctions (SMTJ), and theoretical predictio…

cs.ET2023★ 2 cited

Programmable electrical coupling between stochastic magnetic tunnel junctions

Sidra Gibeault, Temitayo N. Adeyeye, Liam A. Pocher +9

Superparamagnetic tunnel junctions (SMTJs) are promising sources of randomness for compact and energy efficient implementations of probabilistic computing techniques. Augmenting an…

cond-mat.mtrl-sci2023

Unbiased Random Number Generation using Injection-Locked Spin-Torque Nano-Oscillators

Nhat-Tan Phan, Nitin Prasad, Abderrazak Hakam +9

Unbiased sources of true randomness are critical for the successful deployment of stochastic unconventional computing schemes and encryption applications in hardware. Leveraging na…