40 citations · 70 across the 7 of their papers we have counts for
8 papers
A Voltage-controlled MTJ-CMOS Neuron Emulating Tunable Izhikevich-Inspired Dynamics
Kayode Oluwaseyi Adebunmi, Jordan Athas, Allison Fleming +5
Biological neurons exhibit diverse firing dynamics that enable adaptive and stimulus-dependent signalling, yet reproducing these dynamics in hardware has remained an enduring chall…
Magnetic Tunnel Junctions for Timekeeping in Intermittent Computing Systems
Nikola Vuk Maruszewski, Jordan Athas, Allison Fleming +6
Batteryless intermittent systems run unattended for years, but power failures erase timekeeping state, corrupting sensing, scheduling, and coordination. State-of-the-art timekeeper…
P-dit Probabilistic Ising Machine for Solving the Quadratic Assignment Problem
Christian Duffee, Chadbourne M. Burling-Smith, Jordan Athas +4
Combinatorial optimization problems represent a wide range of real-world scenarios where complicated interactions make it difficult to find the best solution. One example is the qu…
Octupole-driven spin torque switching of antiferromagnetic tunnel junctions
Jaimin Kang, Mohammad Hamdi, Shun Kong Cheung +28
Magnetic tunnel junctions (MTJs) based on ferromagnets are canonical devices in spintronics, with wide-ranging applications in data storage, computing, and sensing. They simultaneo…
Extended-variable probabilistic computing with p-dits
Christian Duffee, Jordan Athas, Andrea Grimaldi +4
Ising machines can solve combinatorial optimization problems by representing them as energy minimization problems. A common implementation is the probabilistic Ising machine (PIM),…
Integrated probabilistic computer using voltage-controlled magnetic tunnel junctions as its entropy source
Christian Duffee, Jordan Athas, Yixin Shao +6
Probabilistic Ising machines (PIMs) provide a path to solving many computationally hard problems more efficiently than deterministic algorithms on von Neumann computers. Stochastic…
Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence
Md Abdullah-Al Kaiser, Gourav Datta, Jordan Athas +5
The vast amount of data generated by camera sensors has prompted the exploration of energy-efficient processing solutions for deploying computer vision tasks on edge devices. Among…
All-antiferromagnetic electrically controlled memory on silicon featuring large tunneling magnetoresistance
Jiacheng Shi, Victor Lopez-Dominguez, Sevdenur Arpaci +14
Antiferromagnetic (AFM) materials are a pathway to spintronic memory and computing devices with unprecedented speed, energy efficiency, and bit density. Realizing this potential re…