D5 - Spintronic Nanodevices for Unconventional Computing
- • Bio-inspired computing architectures based on spintronic and hybrid systems
- • Magneto-ionic control of magnetic properties and adaptive spintronic devices
- • Spin-torque nano-oscillators for unconventional and neuromorphic computing
- • Magnetic tunnel junctions for stochastic and probabilistic computing
- • Thermal activation and noise-driven dynamics in spintronic devices
- • Spintronic oscillator arrays and synchronization phenomena
- • Magnonics and frequency-based information processing
- • Skyrmion-based devices for neuromorphic and unconventional computing
- • Dynamical spintronic networks and reservoir computing
- • Machine-learning-assisted training of spintronic systems
- • Data-driven analytical and micromagnetic modeling approaches
- • Hybrid spintronic circuits and emerging computing architectures
- • Large-scale simulation of spintronic-based computing systems
Tristan da Câmara Santa Clara Gomes
Instituto de Engenharia de Sistemas E Computadores
Tristan da Câmara Santa Clara Gomes
Microsistemas e Nanotecnologias (INESC MN)
Instituto de Engenharia de Sistemas E Computadores, PT
Flavio Abreu AraujoUCLouvain, BE
Flavio Abreu Araujo
Institute of Condensed Matter and Nanosciences
UCLouvain, BE
Prof. Flavio Abreu Araujo began his scientific career in 2010 in spintronics and nanomagnetism, working on the fabrication, characterization, and modeling of spin-torque vortex oscillators. In 2015, he pioneered research at the interface of spintronics and artificial intelligence by demonstrating the first spintronics-based nano-neuron, helping establish the field of Neuromorphic Spintronics. His work focuses on developing nanoscale spintronic computing devices that drastically reduce energy consumption while enhancing computational capability, drawing inspiration from the efficiency of biological neural systems.
Damien QuerliozUniv Paris-Saclay, CNRS, FR
Damien Querlioz
Centre de Nanosciences et de Nanotechnologies
Univ Paris-Saclay, CNRS, FR