Jayasimha Atulasimha, Ph.D.

Engineering Foundation Professor, Department of Mechanical and Nuclear Engineering

  • Richmond VA UNITED STATES
  • Engineering East Hall Room E3252
jatulasimha@vcu.edu

Professor Atulasimha researches nanomagnetic/spintronic memory and neuromorphic computing devices.

Contact

Biography

Jayasimha Atulasimha is a Qimonda Professor of Mechanical and Nuclear
Engineering with a courtesy appointment in Electrical and Computer Engineering at the Virginia
Commonwealth University. He has authored or coauthored ~80 journal publications on
magnetostrictive materials, magnetization dynamics, spintronics and nanomagnetic computing.
His current research interests include nanomagnetism, spintronics, multiferroics, nanomagnetic
memory and neuromorphic computing devices. He is a fellow of the ASME, an IEEE Senior
Member and current chair for the TC on Spintronics, IEEE Nanotechnology Council.

Industry Expertise

Research
Education/Learning

Areas of Expertise

Spintronics and Nanomagnetism
Exploratory neuromorphic devices
Straintronics: Strian mediated electric field control of magnetism
Electric field (VCMA) control of skyrmions
Magnetic and multiferroic materials

Accomplishments

Fellow of ASME

American Society of Mechanical Engineers

Senior Member of IEEE

Institute of Electrical and Electronics Engineers

NSF CAREER Award

National Science Foundation

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Education

University of Maryland

Ph.D.

Aerospace Engineering

2006

University of Maryland

M.S.

Aerospace Engineering

2003

Indian Institute of Technology - Madras

B.S.

Mechanical Engineering

2001

Media Appearances

Study reveals magnetic process that can lead to more energy-efficient memory in computers

Science Daily from original material published by VCU  online

2020-06-30

Press for our article published in Nature Electronics, 2020

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Engineering researchers develop a process that could make big data and cloud storage more energy efficient Read more at: https://phys.org/news/2016-11-big-cloud-storage-energy-efficient.html#jCp

Phys.org  online

2016-11-30

"When you look at the energy reduction that this affords, it's a major change," said Jayasimha Atulasimha, Ph.D., Qimonda associate professor in the Department of Mechanical and Nuclear Engineering. "This has the potential to significantly reduce the energy consumption in switching non-volatile magnetic memory devices."

Read more at: https://phys.org/news/2016-11-big-cloud-storage-energy-efficient.html#jCp

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'Straintronic spin neuron' may greatly improve neural computing

Phys.org  

2015-07-08

"Researchers have proposed a new type of artificial neuron called a 'straintronic spin neuron' that could serve as the basic unit of artificial neural networks—systems modeled on human brains that have the ability to compute, learn, and adapt. Compared to previous designs, the new artificial neuron is potentially orders of magnitude more energy-efficient, more robust against thermal degradation, and fires at a faster rate.

The researchers, Ayan K. Biswas, Professor Jayasimha Atulasimha, and Professor Supriyo Bandyopadhyay at Virginia Commonwealth University in Richmond, have published a paper on the straintronic spin neuron in a recent issue of Nanotechnology..."

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Selected Articles

Creation and annihilation of non-volatile fixed magnetic skyrmions using voltage control of magnetic anisotropy

Nature Electronics

Dhritiman Bhattacharya, Seyed Armin Razavi, Hao Wu, Bingqian Dai, Kang L. Wang & Jayasimha Atulasimha

2020-06-29

Magnetic skyrmions are topological spin textures that could be used to create magnetic memory and logic devices. Such devices typically rely on current-controlled motion of skyrmions, but using skyrmions that are fixed in space could lead to more compact and energy-efficient devices. Here we report the manipulation of fixed magnetic skyrmions using voltage-controlled magnetic anisotropy. We show that skyrmions can be stabilized in antiferromagnet/ferromagnet/oxide heterostructure films without any external magnetic field due to an exchange bias field. The isolated skyrmions are annihilated or formed by applying voltage pulses that increase or decrease the perpendicular magnetic anisotropy, respectively. We also show that skyrmions can be created from chiral domains by increasing the perpendicular magnetic anisotropy of the system. Our experimental findings are corroborated using micromagnetic simulations.

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Voltage control of domain walls in magnetic nanowires for energy-efficient neuromorphic devices

IOP Nanotechnology

Md Ali Azam, Dhritiman Bhattacharya, Damien Querlioz, Caroline A Ross and Jayasimha Atulasimha

2020-01-16

An energy-efficient voltage-controlled domain wall (DW) device for implementing an artificial neuron and synapse is analyzed using micromagnetic modeling in the presence of room temperature thermal noise. By controlling the DW motion utilizing spin transfer or spin–orbit torques in association with voltage generated strain control of perpendicular magnetic anisotropy in the presence of Dzyaloshinskii–Moriya interaction, different positions of the DW are realized in the free layer of a magnetic tunnel junction to program different synaptic weights. The feasibility of scaling of such devices is assessed in the presence of thermal perturbations that compromise controllability. Additionally, an artificial neuron can be realized by combining this DW device with a CMOS buffer. This provides a possible pathway to realize energy-efficient voltage-controlled nanomagnetic deep neural networks that can learn in real time.

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Skyrmion-Mediated Voltage-Controlled Switching of Ferromagnets for Reliable and Energy-Efficient Two-Terminal Memory

ACS Appl. Mater. Interfaces

Dhritiman Bhattacharya and Jayasimha Atulasimha

2018-04-27

We propose a two-terminal nanomagnetic memory element based on magnetization reversal of a perpendicularly magnetized nanomagnet employing a unipolar voltage pulse that modifies the perpendicular anisotropy of the system. Our work demonstrates that the presence of Dzyaloshinskii–Moriya interaction can create an alternative route for magnetization reversal that obviates the need for utilizing precessional magnetization dynamics as well as a bias magnetic field that are employed in traditional voltage control of magnetic anisotropy (VCMA)-based switching of perpendicular magnetization. We show with extensive micromagnetic simulation, in the presence of thermal noise, that the proposed skyrmion-mediated VCMA switching mechanism is robust at room temperature leading to extremely low error switching while also being potentially 1–2 orders of magnitude more energy efficient than state-of-the-art spin transfer torque-based switching.

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