Dr. Advait Madhavan Profile

Dr. Advait Madhavan

at National Institute of Standards and Technology

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Author

Publications (5)

Proceedings Article | 4 October 2024 Presentation

Method for training robust neural network solutions for MTJ-based hardware with defects

William Borders, Advait Madhavan, Matthew Daniels, Vasileia Georgiou, Martin Lueker-Boden, Tiffany Santos, Patrick Braganca, Mark Stiles, Jabez McClelland, Brian Hoskins

Proceedings Volume PC13119, PC131190S (2024) https://doi.org/10.1117/12.3027145

KEYWORDS: Education and training, Artificial neural networks, Computer hardware, Binary data, Magnetic tunnel junctions, Industrial applications

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Proceedings Article | 4 October 2024 Presentation

Leveraging stochastic properties of spintronic nanodevices for unconventional computing

Nhat Tan Phan, Lucile Soumah, Louise Desplat, Jonathan Peters, Nitin Prasad, Abderrazak Hakam, Ahmed Sidi El Valli, Lorena Anghel, Luana Benetti, Alex Jenkins, Ricardo Ferreira, Florian Disdier, Liliana Buda-Prejbeanu, Ricardo Sousa, Advait Madhavan, Mark D. Stiles, Ursula Ebels, Philippe Talatchian

Proceedings Volume PC13119, PC131190T (2024) https://doi.org/10.1117/12.3027425

KEYWORDS: Stochastic processes, Spintronics, Nanostructures, Neurons, Magnetic tunnel junctions, Neural networks, Switching, Pattern recognition, Nonlinear dynamics, Energy efficiency

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Proceedings Article | 4 October 2024 Presentation

Hardware implementation of a scalable two-spin Ising computer

Sidra Gibeault, Temitayo Adeyeye, Liam Pocher, Daniel Lathrop, Matthew Daniels, Mark Stiles, Jabez McClelland, William Borders, Jason Ryan, Philippe Talatchian, Ursula Ebels, Advait Madhavan

Proceedings Volume PC13119, PC1311924 (2024) https://doi.org/10.1117/12.3027885

KEYWORDS: Computer hardware, Algorithm development, Network architectures, Design, Computer programming, Analog electronics, Algorithms

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Proceedings Article | 28 September 2023 Presentation + Paper

Neural networks three ways: unlocking novel computing schemes using magnetic tunnel junction stochasticity

Matthew Daniels, William Borders, Nitin Prasad, Advait Madhavan, Sidra Gibeault, Temitayo Adeyeye, Liam Pocher, Lei Wan, Michael Tran, Jordan Katine, Daniel Lathrop, Brian Hoskins, Tiffany Santos, Patrick Braganca, Mark Stiles, Jabez McClelland

Proceedings Volume 12656, 126560B (2023) https://doi.org/10.1117/12.2682099

KEYWORDS: Stochastic processes, Magnetic tunnel junctions, Neural networks, Magnetism, Computer architecture, Resistors

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Proceedings Article | 4 October 2022 Presentation

Implementation of a binary neural network on a passive array of magnetic tunnel junctions (Conference Presentation)

Jonathan Goodwill, Nitin Prasad, Brian Hoskins, Matthew Daniels, Advait Madhavan, Lei Wan, Tiffany Santos, Michael Tran, Jordan Katine, Patrick Braganca, Mark Stiles, Jabez McClelland

Proceedings Volume PC12205, PC122050L (2022) https://doi.org/10.1117/12.2632314

KEYWORDS: Neural networks, Magnetism, Binary data, Signal processing, Resistance, Performance modeling, Instrument modeling

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