Spin Hall nano-oscillators (SHNOs) utilize pure spin currents to drive local regions of magnetic films and nanostructures into auto-oscillating precession. If such regions are placed in close proximity to each other, they can interact and sometimes mutually synchronize via exchange or dipolar coupling, which in turn leads to a significant increase in signal quality factor, Q, and output power in spintronics oscillators as potential candidates for microwave applications. Synchronization also plays a central role in many biological neuronal activities such as peacemakers cells and cortical neurons. Neuronal activities seem slow, yet our brain is one of the most efficient cognitive machines thanks to its massive parallel connectivity. This talk walks you through how SHNO arrays can be harnessed as a neuromorphic computing platform imitating neuronal interactions by offering all required elements such as connectivity (coupling), harmony, non-linearity, addressability, and even embedded memory.

Mohammad Zahedinejad received his B.S and M.S in electrical engineering from Iran in 2009 and 2012, respectively. During his studies, he worked at K.N.Toosi microelectronic facility focused on Silicon MEMS and semiconductor photonics crystals. In 2013, he joined Thin Film and nanoelectronics lab at university of Tehran as research assistant before he joined Aplied Spintronic Group (ASG) at university of Gothenburg in Sweden to start his Ph.D study on spin Hall nanooscillators arrays. He defended his Ph.D in 2019 and works as a postdoc researcher in ASG. He is also a process engineer and device developer at NanOsc AB, a Sweden based company with aim to develop new devices and materials to realize massively coupled oscillatory networks for microwave sources and bio-inspired computing applications. He is author and co-author in more than 20 research articles in semiconductor technology, material science and physics.

go back / other news