Materials and devices as solutions to computational problems in machine learning
The growth of machine learning, combined with the approaching limits of conventional
digital computing, are driving a search for alternative and complementary forms of …
digital computing, are driving a search for alternative and complementary forms of …
[HTML][HTML] Magnetic straintronics: Manipulating the magnetization of magnetostrictive nanomagnets with strain for energy-efficient applications
The desire to perform information processing, computation, communication, signal
generation, and related tasks, while dissipating as little energy as possible, has inspired …
generation, and related tasks, while dissipating as little energy as possible, has inspired …
Applications of nanomagnets as dynamical systems: I
When magnets are fashioned into nanoscale elements, they exhibit a wide variety of
phenomena replete with rich physics and the lure of tantalizing applications. In this topical …
phenomena replete with rich physics and the lure of tantalizing applications. In this topical …
Low-barrier nanomagnets as p-bits for spin logic
It has recently been shown that a suitably interconnected network of tunable telegraphic
noise generators or “p-bits” can be used to perform even precise arithmetic functions like a …
noise generators or “p-bits” can be used to perform even precise arithmetic functions like a …
A building block for hardware belief networks
Belief networks represent a powerful approach to problems involving probabilistic inference,
but much of the work in this area is software based utilizing standard deterministic hardware …
but much of the work in this area is software based utilizing standard deterministic hardware …
Reliability of magnetoelastic switching of nonideal nanomagnets with defects: A case study for the viability of straintronic logic and memory
Magnetoelastic (straintronic) switching of bistable magnetostrictive nanomagnets is an
extremely energy-efficient switching methodology for (magnetic) binary switches that has …
extremely energy-efficient switching methodology for (magnetic) binary switches that has …
Energy-efficient switching of nanomagnets for computing: straintronics and other methodologies
The need for increasingly powerful computing hardware has spawned many ideas
stipulating, primarily, the replacement of traditional transistors with alternate'switches' that …
stipulating, primarily, the replacement of traditional transistors with alternate'switches' that …
Low energy barrier nanomagnet design for binary stochastic neurons: Design challenges for real nanomagnets with fabrication defects
Much attention has been focused on the design of low energy barrier nanomagnets (LBMs),
whose magnetizations vary randomly in time owing to thermal noise, for use in binary …
whose magnetizations vary randomly in time owing to thermal noise, for use in binary …
Electrically programmable probabilistic bit anti-correlator on a nanomagnetic platform
Execution of probabilistic computing algorithms require electrically programmable
stochasticity to encode arbitrary probability functions and controlled stochastic interaction or …
stochasticity to encode arbitrary probability functions and controlled stochastic interaction or …
Perspective: There is plenty of room for magnetic straintronics in the analog domain
S Bandyopadhyay - npj Spintronics, 2024 - nature.com
Magnetic straintronics made its debut more than a decade ago as an extremely energy-
efficient paradigm for implementing a digital switch for digital information processing. The …
efficient paradigm for implementing a digital switch for digital information processing. The …