The development of energy-efficient and fast computer systems is paramount due to the rise in big data and artificial intelligence. Currently, the advancement in computing is being hampered by the speed and power efficiency constraints of the John von Neumann architecture, which divides the CPU from memory. Neuromorphic computing, which is inspired by the human brain, can potentially address these issues. The human brain serves as an archetype for next-generation computing systems due to its almost 100 billion neurons and 100 trillion synapses, which process enormous volumes of data in parallel with remarkable energy efficiency.
There is an increasing need for functional electronic materials for neuromorphic artificial intelligence systems, beyond silicon. Halide perovskites can mimic the synapse functioning in the human brain, and this has fueled the interest in building efficient neuromorphic computing systems. Metal oxides, organic semiconductors, halide perovskites, 2D materials, chalcogenides, piezoelectric materials, and magnetic materials are not only energy-efficient and multipurpose, but they can also replicate the characteristics of synaptic processes in the human brain.
Devices that can switch at low power with high endurance are switching neuromorphic devices' components and features, along with characterization techniques, which will be the main topics of this conference along with the emerging fields of bioinspired ionic-electronic photonic materials.
- Neuromorphic Devices
- Neuromorphic computing
- Memristive devices
- Halide Perovskite for synapses
- Organic semiconductors
- Nanocrystals and low-dimensional halide perovskites
- Characterization protocols
- Low-power neuromorphic devices
- Human brain interface
- Neuristor
- Interfacing biological neurons and electronics
Antonio 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.
Dr. Dani S. Assi received a Bachelor of Science (BSc) in Biomedical Engineering from Lodz University of Technology (TUL) in 2018, followed by a Master of Science (MSc) in Biomedical Engineering from the University of Glasgow (UofG) in 2019. He then completed his Ph.D. in Electrical and Electronics Engineering at the University of Glasgow (UofG) in 2023. Dr. Dani S. Assi, currently a lecturer at the School of Science and Technology at Hong Kong Metropolitan University (HKMU), specializes in Neuromorphic Computing and Quantum Technologies.
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.
Bruno Ehrler is leading the Hybrid Solar Cells group at AMOLF in Amsterdam since 2014 and is also a honorary professor at the University of Groningen since 2020. His group focuses on perovskite materials science, both on the fundamental level, and for device applications. He is recipient of an ERC Starting Grant and an NWO Vidi grant, advisory board member of the Dutch Chemistry Council, recipient of the WIN Rising Star award, and senior conference editor for nanoGe.
Before moving to Amsterdam, he was a research fellow in the Optoelectronics Group at Cambridge University following post-doctoral work with Professor Sir Richard Friend. During this period, he worked on quantum dots, doped metal oxides and singlet fission photovoltaics. He obtained his PhD from the University of Cambridge under the supervision of Professor Neil Greenham, studying hybrid solar cells from organic semiconductors and inorganic quantum dots. He received his MSci from the University of London (Queen Mary) studying micro-mechanics in the group of Professor David Dunstan.
2022 Science Board member Netherlands Energy Research Alliance (NERA)
2021 Member steering committee National Growth fund application Duurzame MaterialenNL
2021 Member advisory board Dutch Chemistry Council
2020 Honorary professor Universty of Groningen for new hybrid material systems for solar-cell applications
2020 ERC starting Grant for work on aritifical synapses from halide perovskite
2019 Senior conference editor nanoGe
2018 WIN Rising Star award
2017 NWO Vidi Grant for work on metal halide perovskites
since 2014 Group Leader, Hybrid Solar Cell Group, Institute AMOLF, Amsterdam
2013 – 2014 Trevelyan Research Fellow, Selwyn College, University of Cambridge
2012-2013 Postdoctoral Work, University of Cambridge, Professor Sir Richard Friend
2009-2012 PhD in Physics, University of Cambridge, Professor Neil Greenham
2005 – 2009 Study of physics at RWTH Aachen and University of London, Queen Mary College, MSci University of London
He has more than 15 years research experience in the academic sector working on nanoelectronics, spintronics and optoelectronics. He possesses extensive hands-on experience on emerging low-dimensionality electronic systems including nanowire transistors, GaAs single spin quantum-bits, as well emerging phenomena in functional oxide and superconductive/ferromagnetic interfaces towards beyond CMOS technologies. He has served at various academic research positions in high reputation European institutions including the Foundation of Research and Technology in Greece, the Institut Néel CNRS in France and the London centre for Nanotechnology – University College of London in United Kingdom. He obtained his PhD in Nanoelectronics from Grenoble Institute of Technology in France, in 2009. He is currently Researcher (Grade C) in the i-EMERGE Research Institute of the Hellenic Mediterranean University (HMU) and the Team Leader of Innovative Printed Electronics at the Nanomaterials for Emerging Devices research group. His current research interests include 2D materials engineering in various printed device concepts suc as high performing solar cells, functional sensors as well as neuromorhic computation architectures towards energy efficient, smart Internet of Intelligent Things and wearable systems.
Wolfgang Tress is currently working as a scientist at LPI, EPFL in Switzerland, with general interests in developing and studying novel photovoltaic concepts and technologies. His research focuses on the device physics of perovskite solar cells; most recently, investigating recombination and hysteresis phenomena in this emerging material system. Previously, he was analyzing and modeling performance limiting processes in organic solar cells.