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2020 Fall Meeting



Integration of advanced materials on silicon: from classical to neuromorphic and quantum applications

The symposium aims at gathering scientists working on monolithic and heterogeneous integrations of new materials, to enable additional functionalities on silicon-based platforms. It considers both classical approaches and emerging topics linked to neuromorphic and quantum applications. The various research fields covered in the symposium pave the way towards highly functionalized Sibased technologies which address current and future challenges in our society.


The microelectronics industry has delivered faster and more efficient computing devices at a remarkably consistent pace for several decades. More recently, the demand for high performance devices and mass data transfer has soared. Driven by new societal needs, linked to the “Internet-ofthings” and the growing demand for ultra-fast data transfer, cognitive systems and new computing paradigms, such as neuromorphic and quantum information processing, have been developed.

Industrials are therefore looking beyond classic architectures and concepts to secure future generations of devices that can be integrated with conventional silicon chip platform. Neuromorphic networks for example require dense arrays of interconnected devices, patterned on silicon using the processing know how generated by the conventional industry. For quantum information science, silicon is also emerging as a promising route. Even for emerging materials that are not yet widely used in the industry, like topological insulators, quantum-dots structures, magnetic or superconductor materials, silicon could be a platform of choice for device integration.

The symposium aims at highlighting novel and innovative approaches that allow for monolithic and heterogeneous integration on silicon technology, application-specific integrated solutions (based on integrated photonics, neural networks, spintronic devices...) or quantum systems. The scope includes the fundamental understanding of new material properties, the implementation of novel integration schemes, the modelling techniques and new application fields. The focus will be on the fabrication, characterization and simulation of materials considered as non-standard for Si technology. Contributions related to innovative hetero-integration techniques will be encouraged. Finally, a particular attention will be given to devices and applications beyond current computation technologies that aim at addressing new computing paradigms such as quantum and neuromorphic computation.

Hot topics to be covered by the symposium:

Material growth, characterization and simulation

Group IV and compound semiconductors:
Group IV materials and alloys (SiGe, GeSn SiGeSn), III-V and II-VI compound semiconductors, grown or transferred on monocrystalline substrates or insulators. Group IV and III-V quantum dots and nanowires integrated on Si.

Oxides and nitrides:
Functional perovskites, ZnO, GaN and heterostructures, oxides with resistive or metal insulator transition, topological insulators, piezoelectric materials, materials for the implementation of neuromorphic devices.

Two dimensional materials:
Growth and transfer of Graphene, Transition Metal Dichalcogenides and Boron Nitride on semiconductors, hybrid 2D/semiconductor devices.

Novel materials for Quantum applications:
Semiconductor/Superconductor Interfaces, Topological insulators, Semiconductor Quantum Dot qubit materials, purified 28 Si, Spin qubit, Si/SiGe Heterostructures.

Integration Techniques

Advanced heteroepitaxy:
Selective growth on patterned substrates, epitaxial lateral overgrowth, self-assembly techniques, remote epitaxy.

Layer Transfer:
2.5D & 3D integration (monolithic & heterogeneous) Innovative synthesis & integration methods of materials and devices used for quantum systems


Data processing and communication:
Advanced CMOS scaling, single electron & single photon devices, neuromorphicarchitectures, IOT, spintronics, ultra-low power & RF e lectronics, Integrated photonics, IR and THz lasers.

Neuromorphic systems:
Bioinspired nano electronics or photonics, neural networks on chips, with possible use in artificial intelligence and machine learning.

Quantum information science and emerging applications of quantum materials:
Quantum communication, quantum computing, quantum sensing.

Life-Sciences application and environmental sensors:
Semiconductor plasmonics, mid-infrared and THz sensing, gas sensors, integration with piezo-materials for MEMS-like sensors and opto-mechanics.

Invited Speakers:

  • Nikolay Abrosimov - IKZ Berlin
  • Gina Adam - Washington University
  • Michael S. Arnold - University of Wisconsin-Madison
  • Alberta Bonanni - Johannes Kepler University Linz
  • Nadine Collaert – IMEC
  • Kimberly Dick – Lund University
  • Inga Fischer - Brandeburg University of Technology Cottbus
  • Anna Fontcuberta i Morral – EPFL
  • Jan Grahn - Chalmers University of Technology
  • José Menéndez - Arizona State University
  • Oussama Moutanabbir - Polytechnique Montréal
  • Nobuya Nakazaki - Sony
  • Kim Sanghyeon - Korea Institute of Science and Technology

Scientific Committee:

  • Abderraouf Boucherif - Université de Sherbrooke
  • Antonio Di Bartolomeo - University of Salerno
  • Giordano Scappucci - TU Delft
  • Jonatan Slotte - Aalto University
  • Farid Medjdoub - IEMN-CNRS
  • Thierry Taliercio - University of Montpellier
  • Douglas Paul - University of Glasgow
  • Luca Pirro - Global Foundries
  • Detlev Grützmacher - Institute for Semiconductor Nanoelectronics

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Symposium organizers
Cezar ZOTAIBM Research GmbH

Saumerstrasse 4, Ruschlikon, Switzerland

Kapeldreef 75, 3001 Leuven, Belgium
Giovanni ISELLAPolitecnico di Milano

LNESS Dipratimento di Fisica, via Anzani 42, 22100 Como, Italy
Monica DE SETADept. of Science University Roma Tre

Via della Vasca Navale 79, 00146 Roma, Italy