123 citations · 515 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Demonstration of nanosecond operation in stochastic magnetic tunnel junctions
Christopher Safranski, Jan Kaiser, Philip Trouilloud +3
Magnetic tunnel junctions operating in the superparamagnetic regime are promising devices in the field of probabilistic computing, which is suitable for applications like high-dime…
Subnanosecond Fluctuations in Low-Barrier Nanomagnets
Jan Kaiser, Avinash Rustagi, Kerem Y. Camsari +3
Fast magnetic fluctuations due to thermal torques have useful technological functionality ranging from cryptography to probabilistic computing. The characteristic time of fluctuati…
Thermal Transport at the Nanoscale - A Fourier's Law vs. Phonon Boltzmann Equation Study
Jan Kaiser, Tianli Feng, Jesse Maassen +3
Steady-state thermal transport in nanostructures with dimensions comparable to the phonon mean-free-path is examined. Both the case of contacts at different temperatures with no in…