Integrated Nano Computing Lab

At the INC Lab, we develop practical nano-devices for the future of computing. We study the fundamental physics and materials properties of emerging materials, and work to bridge the gap from test structures to practical devices to circuits and systems. This vertical approach includes theoretical and experimental work at the materials, devices, and circuits levels. We seek to understand the materials properties, and then show how they can be designed into devices that do not just stand alone, but can perform useful computing tasks.

We are facing a time when we are reaching the limits of scaling improvements using current technology.  Current transistors waste energy both while switching and when idle, which ends up as wasted heat in our computers. On the other end of the spectrum, we are facing new big-data applications for computing that require large, dense memories that are distributed with logic, and applications like artificial intelligence and neuromorphic computing that require massive parallel computation.

New physics and materials, such as magnetic materials and 2D materials, have the potential for more energy efficient computing.  They also have novel physical properties that can be utilized, such as naturally low-dimensional sizes for ultra-scaled electronics, non-volatility (keeping its state when off), oscillatory dynamics, device-to-device interactions, low to no idle power dissipation, low-temperature fabrication, and in-memory computing possibilities.  This is an exciting time where we have the tools to apply new types of physics and materials to real-world devices, with a strong motivation to do so.

We are also interested in other applications of nanotechnology, such as quantum computing and medicine.


New video is posted on our Youtube channel!

“Alena Nederveld, UT Austin ECE Ph.D. Student, Overviews on Electromagnetic Acoustic Transducers”

New video is posted on our Youtube channel!

“Prof. Incorvia Speaks at SPIE 2020 on Lateral Inhibition in Magnetic Domain Wall Racetrack Arrays”

New video is posted on our Youtube channel!

“Prof. Incorvia Speaks at MMM 2020 on Synapses for Energy-Efficient Neuromorphic Computing.”

New video is posted on our Youtube channel!

“Jingyu Cao, UT Austin ECE Ph.D. Student, Gives an Overview on Spin Orbit Torque MRAM”

New video is posted on our Youtube channel!

“Can Cui Speaks at MMM 2020 on Maximized Lateral Inhibition in Paired Magnetic Domain Wall Racetracks”

New video of a student presentation is posted on our Youtube channel!

“Teddy Hsieh, UT Austin ECE Ph.D. Student, Gives an Overview on Embedded STT-MRAM”

Prof. Incorvia gave a talk recently on Designing Magnetic Synapses and Neurons with Application-Specific Functions! Find it here!

New video posted on our Youtube channel!

“Otitoaleke Akinola Speaks at MMM 2020 on Spiking Neural Networks using Magnetism”

New video posted on our Youtube channel!

“Sebastian Miki-Silva, UT Austin ECE Ph.D. Student, Gives an Overview on RAM Types”

New video posted on our Youtube channel!

“Nick Pronin, UT Austin ECE Ph.D. student, gives an overview of spin transfer torque magnetic random access memory”

New video posted on our Youtube channel!

“Can Cui shows our work on lateral inhibition domain wall racetrack arrays for neuromorphic computing”

New video posted on our Youtube channel!

“Andrew Maike, UT Austin ECE Ph.D. student, teaches about computational micromagnetics”

New video posted on our Youtube channel!

“Otitoaleke Akinola from INC Lab speaks at the MRS Spring/Fall Meeting 2020 on Synthesis of Two-Dimensional Metal Carbide Materials”

Our work on the synthesis and characterization of a new 2D material, Cr2C, was published today as an invited featured paper in the Journal of Materials Research! Check it out here. These results open up Cr2C to experimental study, including of its predicted emergent magnetic properties, and develop guidelines for synthesizing new MXene materials. We thank the UT Austin MRSEC center for supporting this research

Check out our first Youtube video on our channel, INC Lab!

“Computing using Magnetism – talk by Prof. Jean Anne Incorvia at the 2021 Microelectronic Reliability and Qualification Workshop (MRQW)”

Check out our published article May 2021 “Irradiation Effects on Perpendicular Anisotropy Spin-Orbit Torque Magnetic Tunnel Junctions” in IEEE Transactions on Nuclear Science!

Ph.D. graduate from INC Lab Otitoaleke Akinola received the UT ECE top achiever award! Congratulations Leke.

Check out a May 2021 article on a trio of papers from our group!

Brain-like Computing Takes a Step Forward with New Discoveries Using Magnetism

Prof. Incorvia gave a talk on implementing advanced biological functions in artificial magnetic neurons and synapses to the Petaspin lecture series. It is available on YouTube.

Prof. Incorvia gave a talk on domain wall-magnetic tunnel junction devices for in-memory and neuromorphic computing to the Online Spintronics Seminar series. Check it out here.

Our work “Domain wall-magnetic tunnel junction spin–orbit torque devices and circuits for in-memory computing” was published today in Applied Physics Letters, as part of the Special Topic on Spin-Orbit Torque (SOT): Materials, Physics and Devices. Calling out the hard work of all the authors, and especially Mahshid Alamdar and Thomas Leonard who share first-authorship.

We have two students with awards to congratulate! Congratulations to Can Cui for receiving the Bruton Graduate Student Fellowship in recognition of her research excellence. And congratulations to Mahshid Alamdar for receiving a 2021 American Physical Society March Meeting Award for excellence in graduate research, give to 7-10 graduate students out of > 10,000 attendees.

Check out the Nov. 2020 issue of the Texas ECE Magazine, with INC Lab featured on p. 15!

Our group’s work on lateral inhibition in magnetic neurons, led by graduate student Can Cui, was published in IOP Nanotechnology in 202o. The results have reach broader audiences through the UT Austin Cockrell School Website,, and

Prof. Incorvia answers five questions about computing like the brain in an interview with the Cockrell School of Engineering.

Dr. Incorvia received the 2020 IEEE Magnetics Society Early Career Award, awarded to one person internationally in her field a year. Read more about the award here.

Congratulations to Thomas Leonard for receiving the 2020 NSF Graduate Research Fellowship!

Dr. Incorvia received the National Science Foundation Faculty Early Career Development Program CAREER award, starting March 2020

CAREER Announcement

2018 interview discussing the research going on in the INC Lab

Interview with Dr. Incorvia at the 2019 American Graphene Summit

Our work on designing magnetic devices as synapses with spike-timing-dependent plasticity has been published in Sept. 2019!

Three-terminal magnetic tunnel junction synapse circuits showing spike-timing-dependent plasticity

Research Highlights

Magnetic Logic Devices and Circuits

We are researching new device and circuit designs for computation using magnetic materials.

Neuromorphic Computing

We work on designing and building magnetic resistive devices for analog/neuromorphic/bio-inspired computing.

Spintronics using 2D TMD Materials

2D transition metal dichalcogenide (TMD) materials have emerging applications for spintronics. We are studying the spin and valley Hall effect in TMD transistors such as WSe2 and WS2.

Materials for Magnetic Tunnel Junctions

We are investigating new materials for both the electrodes and tunnel barrier to improve the on/off ratio and functionality of magnetic tunnel junctions.

Ultra-Scaled Transistors using 2D Materials

We are investigating 2D transistors with materials such as TMDs and black phosphorus.

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New Spintronic 2D Materials

We are studying new types of low-dimensional materials with promising applications in spintronics.