IC-4 - 6th International Conference
Materials and Devices Technologies for Energy-efficient Neuromorphic and Unconventional Computing
Convener:
Sabina SPIGA, CNR-IMM Agrate Brianza, Italy
Members:
Gina ADAM, George Washington University, USA
Lambert ALFF, Technische Universität Darmstadt, Germany
Marco BERNASCONI, University of Milano-Bicocca, Italy
Valeria BRAGAGLIA, IBM, Switzerland
Stefano BRIVIO, CNR-IMM, Italy
Ayan Roy CHAUDHURI, Indian Institute of Technology Kharagpur, India
Fernando CORINTO, Politecnico di Torino, Italy
Elisa DONATI, University of Zurich, Switzerland
Paschalis GKOUPIDENIS, North Carolina State University, USA
Alexei GRUVERMAN, University of Nebraska-Lincoln, USA
Cheol Seong HWANG, Seoul National University, South Korea
Thomas KAMPFE, TU Braunschweig, Germany
Asal KIAZADEH, CENIMAT, Portugal
Kyung Min KIM, KAIST, South Korea
Zdenka KUNCIC, University of Sydney, Australia
Can LI, The University of Hong Kong, Hong Kong
Mathieu LUISIER, ETH Zurich, Switzerland
Sayani MAJUMDAR, Tampere University, Finland
Stephan MENZEL, Forschungszentrum Jülich GmbH, Germany
Paolo MILANI, Università di Milano, Italy
Enrique MIRANDA, Universitat Autonoma de Barcelona, Spain
Beatriz NOHEDA, University of Groningen, Netherlands
Francesco Maria PUGLISI, Università di Modena e Reggio Emilia, Italy
Andrea REDAELLI, STMicroelectronics, Italy
Bruno ROMEIRA, INL, Portugal
Francesca SANTORO, Forschungszentrum Jülich, Germany
Dmitri STRUKOV, University of California, Santa Barbara, USA
Takashi TSUCHIYA, National Institute for Materials Science (NIMS), Japan
Qiangfei XIA, University of Massachusetts, USA
Jianhua (Joshua) YANG, University of Southern California, USA
Sabina SPIGA, CNR-IMM Agrate Brianza, Italy
Members:
Gina ADAM, George Washington University, USA
Lambert ALFF, Technische Universität Darmstadt, Germany
Marco BERNASCONI, University of Milano-Bicocca, Italy
Valeria BRAGAGLIA, IBM, Switzerland
Stefano BRIVIO, CNR-IMM, Italy
Ayan Roy CHAUDHURI, Indian Institute of Technology Kharagpur, India
Fernando CORINTO, Politecnico di Torino, Italy
Elisa DONATI, University of Zurich, Switzerland
Paschalis GKOUPIDENIS, North Carolina State University, USA
Alexei GRUVERMAN, University of Nebraska-Lincoln, USA
Cheol Seong HWANG, Seoul National University, South Korea
Thomas KAMPFE, TU Braunschweig, Germany
Asal KIAZADEH, CENIMAT, Portugal
Kyung Min KIM, KAIST, South Korea
Zdenka KUNCIC, University of Sydney, Australia
Can LI, The University of Hong Kong, Hong Kong
Mathieu LUISIER, ETH Zurich, Switzerland
Sayani MAJUMDAR, Tampere University, Finland
Stephan MENZEL, Forschungszentrum Jülich GmbH, Germany
Paolo MILANI, Università di Milano, Italy
Enrique MIRANDA, Universitat Autonoma de Barcelona, Spain
Beatriz NOHEDA, University of Groningen, Netherlands
Francesco Maria PUGLISI, Università di Modena e Reggio Emilia, Italy
Andrea REDAELLI, STMicroelectronics, Italy
Bruno ROMEIRA, INL, Portugal
Francesca SANTORO, Forschungszentrum Jülich, Germany
Dmitri STRUKOV, University of California, Santa Barbara, USA
Takashi TSUCHIYA, National Institute for Materials Science (NIMS), Japan
Qiangfei XIA, University of Massachusetts, USA
Jianhua (Joshua) YANG, University of Southern California, USA
The list of Invited Speakers will be available at the end of July 2025
In the modern world where sustainability and energy efficiency have become global priorities, future computing systems are expected to embrace these challenges. In the last decades, substantial advancements in device miniaturization and on the overall performance of classical computers have been achieved, also thanks to advancements in materials science and nanotechnology. Today information and communication technology (ICT), which is affecting almost all aspects of our society, consumes a significative percentage of global electric power resources. In this field, energy consumption is expected to increase in the coming years, making many applications, including those based on artificial intelligence, unsustainable. Within this framework, emerging inorganic and organic materials and memristive device technologies are key players in enabling the development of energy-efficient future unconventional computing paradigms, including in-memory computing approaches, neuromoprhic systems inspired by the brain functionality, and bioinspired information processing at the edge of biology.
This conference aims at bringing together an interdisciplinary community to discuss recent advancements in research within the fields of materials science, memory and memristive device technologies, modelling and simulation of materials and device properties, and novel computing applications.
This conference aims at bringing together an interdisciplinary community to discuss recent advancements in research within the fields of materials science, memory and memristive device technologies, modelling and simulation of materials and device properties, and novel computing applications.
Session Topics
- Memory devices for low-energy computing: RRAM, PCRAM, MRAM, FeRAM, FTJ, Electrochemical Random-Access Memory (ECRAM), …
- Emerging memristive devices concepts based on dielectric-, ferroelectric-, magnetic-, multiferroic-, organic-, molecular-, perovskite-, chalcogenide-, topological insulators, 2D- materials, …
- Recent developments in characterization methods for materials and devices at the nanoscale
- Advances in theory, modelling and simulation of memristive materials and devices
IC-4.B Devices for neuromorphic and unconventional computing: from devices to applications
- 2- and 3-terminal devices implementing low-power artificial synapses and neurons
- Self-assembled networks, nanomaterials and unconventional substrates for energy-efficient computing
- Photonic devices for computing
- Devices for emerging applications: in-memory computing, in-sensor computing, analogue computing, reservoir computing, spiking neural networks, deep neural networks, oscillatory neural networks….
- Flexible and printable devices for low-energy and sustainable computing
- Novel algorithms for computing, and advances in theory of novel computing paradigms
IC-4.C Bioinspired information processing at the edge of biology
- Materials and devices for bio-inspired information processing and biosensing
- Devices at the interface between biological and artificial neuronal systems
- Organic neuromorphic systems
- Bioelectronics, neuromorphic and memristive sensors
- Advances in hardware and algorithms co-design for neuro-inspired computing