Developing unconventional computing architectures by bridging the gap between nanoelectronics and computational physics.
NanoComputing Research Lab (NRL) explores curiosity-driven adventurous scientific paths intertwining applied physics, information theory, VLSI design and engineering to bridge the gap between nanoelectronics and computational physics to transcend computing to an open, interactive and continuous learning adaptive system. Research activities cover aspects from modeling and simulation of novel nanomaterials (e.g., phase change, 1D/2D, etc.), emerging nanoscale devices and interconnects for performing design space exploration of disruptive technologies. We exploit these novel devices for unconventional computing paradigms such as neuromorphic computing, computing with physical systems and quantum computing.
Read moreMeet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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Energy-Performance Assessment of Oscillatory Neural Networks Based on VO 2 Devices for Future Edge AI Computing
IEEE Transactions on Neural Networks and Learning Systems (2024) -
ClassONN
(2024) -
Ab Initio Simulations on the Structure and Properties of Supported Core-Shell Pt Nanoparticles on Single-Layer MoS2
Journal of Physical Chemistry C (2023) -
Operating Coupled VO-Based Oscillators for Solving Ising Models
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2023) -
How fast can vanadium dioxide neuron-mimicking devices oscillate? Physical mechanisms limiting the frequency of vanadium dioxide oscillators
Neuromorphic Computing and Engineering (2023)
Contact
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Visiting address
Flux buildingGroene Loper 195612 AP EindhovenNetherlands -
Visiting address
Flux buildingGroene Loper 195612 AP EindhovenNetherlands -
Postal address
Department of Electrical EngineeringP.O. Box 5135600 MB EindhovenNetherlands -
Postal address
Department of Electrical EngineeringP.O. Box 5135600 MB EindhovenNetherlands -
Teamleada.todri.sanial@ tue.nl