Inspired by the brain’s highly energy-efficient ability for in-memory computing, the field of neuromorphic engineering strives to develop materials, devices, and circuits that can emulate artificial synaptic and neuronal capabilities. Whereas the realization of robust and scalable neuromorphic hardware offers tremendous promise for the future of electronics and computer science with implications for society at large, many current challenges in neuromorphic computation are related to materials development and the integration of materials into novel device paradigms.
This symposium invites contributions to cover the latest advancements in engineered materials with promising physical properties for neuromorphic devices, such as ferroic materials, phase-change materials, valence-change materials, spintronic materials, 2D van der Waals materials, halide perovskites, and organic materials. It will cover the processing challenges of these materials, design approaches to tune memristive characteristics via structure or defect engineering, the conceptualization of novel neuromorphic device schemes, and the integration of materials and devices into neuromorphic circuits.
- In-memory sensing and computing
- Artificial synaptic and neuronal materials and devices
- Materials integration for neuromorphic circuits
- Memristive materials: spintronic, ferroelectric, resistive RAM, phase-change materials, organics, halide perovskite, 2D materials
- Neuromorphic oscillators
- Stimuli-responsive materials and devices
- Concepts for edge computing
Juan Bisquert (pHD Universitat de València, 1991) is a Distinguished Research Professor at Instituto de Tecnología Química (Universitat Politècnica de València-Consejo Superior de Investigaciones Científicas). He is Executive Editor for Europe of the Journal of Physical Chemistry Letters. He has been distinguished in the list of Highly Cited Researchers from 2014 to 2024. The research activity of Juan Bisquert has been focused on the application of measurement techniques and physical modeling in several areas of energy devices materials, using organic and hybrid semiconductors as halide perovskite solar cells. Currently the main research topic aims to create miniature devices that operate as neurons and synapses for bio-inspired neuromorphic computation related to data sensing and image processing. The work on this topic combines harnessing hysteresis and memory properties of ionic-electronic conducting devices as memristors and transistors towards computational networks. The work is supported by European Research Council Advanced Grant.
Francesca Borghi is a tenure track assistant professor at the Physics Department of the University of Milano. She graduated in Physics from the University of Milano in 2011 and she received her PhD in Physics, Astrophysics and Applied Physics in 2015. Her research focuses on structural and functional properties of cluster-assembled nanostructured materials, and the development of neuromorphic computing systems and soft electronic devices. She’s currently coordinating multidisciplinary laboratories for the advanced characterization of neuromorphic systems at the Interdisciplinary Centre for Nanostructured Materials and Interfaces (CIMaINa) at the Physics Department (UniMi). She’s co-founder of GRUCIO, a start-up initiative aiming at the development of unconventional data processing devices.
Luca FehlingsAntonio Guerrero is Associate Professor in Applied Physics at the Institute of Advanced Materials (Spain). His background includes synthesis of organic and inorganic materials (PhD in Chemistry). He worked 4 years at Cambridge Dispaly Technology fabricating materiales for organic light emitting diodes and joined University Jaume I in 2010 to lead the fabrication laboratory of electronic devices. His expertise includes chemical and electrical characterization of several types of electronic devices. In the last years he has focused in solar cells, memristors, electrochemical cells and batteries.
Seung Ju KimSo-Yeon KimSi En Timothy Ng Ng