Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Towards the neW era of 1.6 Tb/s System-In-Package transceivers for datacenter appLIcations exploiting wafer-scale co-inteGration of InP membranes and InP-HBT elecTronics (TWILIGHT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Israel,Sweden,Greece,France,Czechia,Netherlands
Call: Application driven Photonics components (H2020-ICT-2019-2, 2019)
Start date: 2019-12-01
End date: 2023-11-30
Duration (months): 48.0
Total project cost (EUR): 5080621.25
EU funding (EUR): 5080621.25
Participants: 6
Project status: SIGNED

IoT, 5G and cloud applications have created a huge growth of datacentre traffic fuelling the market of 400GbE and the ratification of 800GbE and 1.6T standards expected within 2013-2025. Datacentre operators must keep pace with the increasing speeds and to cope with the increasing power consumption required for airflow management and cooling. Moreover, they must address the massive interconnectivity between servers and switches dictated by 5G ultra-low latency applications. 100Gb/s per lane is the next step for the realization of 800GbE modules but this will be the end of pluggables and the start of co-packaged optics with ASICs paving the way to 1.6T and beyond. TWILIGHT aims to bring InP membranes and InP-HBT electronics at unprecedently close distances (<20um) to unleash the speed capabilities of its high performance components and to enable 112Gbaud per lane. Wafer-scale bonding together with high-accuracy assembly and co-packaging concepts, TWILIGHT’s optoelectronic engines will be capable of up to 1.6T capacity. Selective area growth will be exploited to develop C-band and O-band EMLs and UTC photodiodes in combination with echelle gratings on the same system-on-chip platform. Adaptation of the SAG layerstack will be used to develop polarization insensitive SOAs enabling complex functionalities on chip. TWILIGHT will leverage analog bandwidth interleaving for interfacing its transceivers with next generation 112G SERDES and will develop analog (de)multiplexers, >110GHz linear drivers and 100GHz TIAs. TWILIGHT will exploit the PI-SOAs to develop 4x4 and16x16 optical space switches exhibiting nanosecond latency and >50% smaller footprint. The O-band and C-band SiP transceiver demonstrators leverage up to 72% and 74% power consumption savings compared to established technologies and target the datacentre market (2-10km) and DCI (<40km), respectively, with estimated cost 0.89€/Gb/s. Exploitation of TWILIGHT’s technologies is aimed via its industrial partner MLNX.

Keywords: wafer bonding,inp membranes,inp hbt electronics,photonics electronics co integration,selective area growth,optical space switch,1 6t optical transceiver
Imaging Brain Circuits to Decode Brain Computations: Multimodal Multiscale Imaging of Cortical Microcircuits to Model Predictive Coding in Human Vision (MULTICONNECT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-06-01
End date: 2020-11-30
Duration (months): 66.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: CLOSED

The human brain is one of the largest and most complex biological networks known to exist. The architecture of its circuits, and therefore the computational basis of human cognition, remains largely unknown. The central aim of this proposal is to image human cortical connectivity at multiple spatial scales in order to understand human cortical computations. Whereas canonical cortical microcircuits are an established theory of the repeating structure of the neocortex’s circuits, predictive coding provides a prominent proposal of what these circuits compute. This leads to the core hypothesis of this proposal: the variations in predictive coding computations performed by human cortical microcircuits in different visual areas are grounded in variations in their microcircuit connectivity. As a central case-study, this proposal investigates human visual apparent motion perception in V1/2/3 and V5/MT+. The proposed research program is organized in two workpackages (WP I and II). WP I has the aim of imaging the multiscale connections of human neocortical microcircuits. The projects in WP I focus on structure and move from the mesoscale down to the microscale. WP II has the aim of modelling how microcircuits support predictive coding computations. The projects in WP II focus on function and move from the microscale back up to the mesoscale. Structural and functional assessment of microcircuitry in the human brain only recently became possible with the development of magnetic resonance imaging (MRI) at ultra-high field-strengths (UHF) of 7T and above. UHF diffusion MRI, combined with light microscopy, is used to image circuit structure in WP I. UHF functional MRI is used for computational modelling of computations in WP II. Successful completion of the planned research will significantly advance our understanding of the computations in cortical microcircuits, deliver important new human connectomic reference data, and improve generative models of human cortical processing.

Keywords: connectomics,magnetic resonance imaging,light microscopy,generative fmri modeling,computational neuroscience
Revolutionizing advanced electrodeless plasma thrusters for space transportation (ZARATHUSTRA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Spain
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 1499375.0
EU funding (EUR): 1499375.0
Participants: 1
Project status: SIGNED

Electrodeless Plasma Thrusters (EPTs) are a new type of space propulsion that promises to overcome the limitations of traditional electric propulsion technologies and to offer unparalleled advantages in terms of power scaling, throttling range, lifetime, propellant types, and simplicity. Nevertheless, EPT development is currently stuck due to the incomplete understanding of their physics, in particular electromagnetic (EM) plasma heating and anomalous transport. Additionally, the cylindrical geometry of existing EPT designs has inherent issues, with high plasma losses and erosion at the rear wall of the ionization chamber and a wide divergence of the generated plasma jet. ZARATHUSTRA aims to unravel the physical underpinnings of EPTs and revolutionize their design by accomplishing three objectives: (1) establish the first self-consistent model of EM plasma heating in these devices; (2) elucidate the role of plasma turbulence, wall interactions, and applied EM fields on anomalous transport and devise control solutions to minimize plasma losses; and (3) assess the feasibility and advantages of a disruptive non-cylindrical EPT concept. This will be made possible thanks to a unique multidisciplinary methodology based on: a ground-breaking two-level numerical simulation strategy with a novel electromagnetic-kinetic algorithm; state-of-the-art experimental measurements; advanced data analysis techniques; and thruster bread-board prototype development. As a result, the first complete theory of EM heating and anomalous transport in EPTs will be formulated, and the path will be paved for the development of a new generation of plasma thrusters with unsurpassed characteristics and performances. While the high ambition of the project represents high risk, this is more than compensated by the potential high gain: uncovering the physical mechanisms of EPTs, unblocking their progress, and claiming for Europe a privileged leadership position in this strategic field.

Keywords: electric space propulsion,electrodeless plasma thrusters,electromagnetic plasma heating,anomalous plasma transport
Metrology for Integrated Marine Management and Knowledge-Transfer Network (MINKE)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Integrating activities and infrastructures
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Germany,Italy,Italy,Italy,Germany,Spain,Belgium,Norway,Finland,Greece,France,France,France,Chile,United Kingdom
Call: Integrating Activities for Starting Communities (H2020-INFRAIA-2020-1, 2020)
Start date: 2021-04-01
End date: 2025-03-31
Duration (months): 48.0
Total project cost (EUR): 4994955.0
EU funding (EUR): 4994955.0
Participants: 23
Project status: SIGNED

MINKE will integrate key European marine metrology research infrastructures, to coordinate their use and development and propose an innovative framework of “quality of oceanographic data” for the different European actors in charge of monitoring and managing the marine ecosystems. MINKE proposes a new vision in the design of marine monitoring networks considering two dimensions of data quality, accuracy and completeness, as the driving components of the quality in data acquisition. This new vision will be framed in a quintuple helix model of innovation, incorporating all the elements involved in the monitoring network design: ● the context (ocean health), identifying the Essential Ocean variables (EOVs) as the key parameters to monitor ● the civil society (NGO, Makers community, Social media and Citizen Science platforms) as the key actors to ensure data completeness ● the academia researching new methods to ensure the accuracy and the global quality of the final products, developing tools for integrating the information of top-qualified oceanographic instruments and low-cost instrumentation. ● the industry improving the performance of the observations with new instrumentation, data-transmission systems and cost-effective technologies ● the governments that provide the legal and socio-economic frameworks to develop the proposed network The present proposal, through the different Integration Activities (Networking, Transnational-Virtual Access and Joint Research), aims to lay the groundwork for creating the necessary synergies among the different involved actors in the quintuple helix model of innovation, creating a new community with complementary capabilities for Ocean & Coastal Observation, that will facilitate the transition towards a blue growth socio-economic system.

Keywords: infraia,starting communities,ocean observation,metrology,coastal observation,citizen science,citizen observatories,participatory science,eovs,data quality,accuracy,completeness,blue growth
European Initiative to Enable Validation for Highly Automated Safe and Secure Systems (ENABLE-S3)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: Electronic Components and Systems
Action type: Innovation actions
Partnership: ECSEL (Art-187)
Countries involved: Germany,Austria,Austria,Germany,Spain,Spain,Ireland,Italy,Austria,Germany,Germany,Germany,Germany,Germany,Germany,Germany,Germany,Germany,Italy,Germany,Germany,Spain,Spain,Austria,Germany,Germany,Germany,Spain,Italy,Poland,Slovakia,Belgium,Belgium,Finland,Norway,Finland,Finland,France,France,France,France,France,France,Czechia,Czechia,Netherlands,Netherlands,Netherlands,Netherlands,Denmark,Denmark,United Kingdom,Portugal,Portugal,United Kingdom,Denmark
Call: Cyber-physical Systems (H2020-ECSEL-2015-2-IA-two-stage, 2015)
Start date: 2016-05-01
End date: 2019-05-31
Duration (months): 37.0
Total project cost (EUR): 63381009.78
EU funding (EUR): 15896355.31
Participants: 79
Project status: CLOSED

ENABLE-S3 will pave the way for accelerated application of highly automated and autonomous systems in the mobility domains automotive, aerospace, rail and maritime as well as in the health care domain. Virtual testing, verification and coverage-oriented test selection methods will enable validation with reasonable efforts. The resulting validation framework will ensure Europeans Industry competitiveness in the global race of automated systems with an expected market potential of 60B€ in 2025. Project results will be used to propose standardized validation procedures for highly automated systems (ACPS). The technical objectives addressed are: 1. Provision of a test and validation framework that proves the functionality, safety and security of ACPS with at least 50% less test effort than required in classical testing. 2. Promotion of a new technique for testing of automated systems with physical sensor signal stimuli generators, which will be demonstrated for at least 3 physical stimuli generators. 3. Raising significantly the level of dependability of automated systems due to provision of a holistic test and validation platform and systematic coverage measures, which will reduce the probability of malfunction behavior of automated systems to 10E-9/h. 4. Provision of a validation environment for rapid re-qualification, which will allow reuse of validation scenarios in at least 3 development stages. 5. Establish open standards to speed up the adoption of the new validation tools and methods for ACPS. 6. Enabling safe, secure and functional ACPS across domains. 7. Creation of an eco-system for the validation and verification of automated systems in the European industry. ENABLE-S3 is strongly industry-driven. Realistic and relevant industrial use-cases from smart mobility and smart health will define the requirements to be addressed and assess the benefits of the technological progress.

Keywords: highly automated systems,automated driving,validation,automated operation,safety,security
Novel Mechanism of Behavioural Change (ChangeBehavNeuro)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Israel
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-01-01
End date: 2022-12-31
Duration (months): 72.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: CLOSED

Understanding how values of different options that lead to choice are represented in the brain is a basic scientific question with far reaching implications. I recently showed that by the mere-association of a cue and a button press we could influence preferences of snack food items up to two months following a single training session lasting less than an hour. This novel behavioural change manipulation cannot be explained by any of the current learning theories, as external reinforcement was not used in the process, nor was the context of the decision changed. Current choice theories focus on goal directed behaviours where the value of the outcome guides choice, versus habit-based behaviours where an action is repeated up to the point that the value of the outcome no longer guides choice. However, in this novel task training via the involvement of low-level visual, auditory and motor mechanisms influenced high-level choice behaviour. Thus, the far-reaching goal of this project is to study the mechanism, by which low-level sensory, perceptual and motor neural processes underlie value representation and change in the human brain even in the absence of external reinforcement. I will use behavioural, eye-gaze and functional MRI experiments to test how low-level features influence the neural representation of value. I will then test how they interact with the known striatal representation of reinforced behavioural change, which has been the main focus of research thus far. Finally, I will address the basic question of dynamic neural plasticity and if neural signatures during training predict long term success of sustained behavioural change. This research aims at a paradigmatic shift in the field of learning and decision-making, leading to the development of novel interventions with potential societal impact of helping those suffering from health-injuring behaviours such as addictions, eating or mood disorders, all in need of a long lasting behavioural change.

Keywords: fmri,learning,behavioural change,value based,decision making,reward
Current Tools and Policy Challenges in Electricity Markets (ELECTRIC CHALLENGES)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: Spain
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-09-01
End date: 2024-08-31
Duration (months): 72.0
Total project cost (EUR): 1422375.0
EU funding (EUR): 1422375.0
Participants: 1
Project status: SIGNED

The fight against climate change is among Europe’s top policy priorities. In this research agenda, I propose to push out the frontier in the area of Energy and Environmental Economics by carrying out policy-relevant research on a pressing issue: how to design optimal regulatory and market-based solutions to achieve a least cost transition towards a low-carbon economy. The European experience provides unique natural experiments with which to test some of the most contentious issues that arise in the context of electricity markets, including the potential to change households’ demand patterns through dynamic pricing, the scope of renewables to mitigate market power and depress wholesale market prices, and the design and performance of the auctions for renewable support. While there is a body of policy work on these issues, it generally does not meet the required research standards. In this research, I will rely on cutting-edge theoretical, empirical, and simulation tools to disentangle these topics, while providing key economic insights that are relevant beyond electricity markets. On the theory front, I propose to develop new models that incorporate the intermittency of renewables to characterize optimal bidding as a key, broadly omitted ingredient in previous analysis. In turn, these models will provide a rigorous structure for the empirical and simulation analysis, which will rely both on traditional econometrics for casual inference as well as on state-of-the-art machine learning methods to construct counterfactual scenarios for policy analysis. While my focus is on energy and environmental issues, my research will also provide methodological contributions for other areas - particularly those related to policy design and policy evaluation. The conclusions of this research should prove valuable for academics, as well as to policy makers to assess the impact of environmental and energy policies and redefine them where necessary.

Keywords: electricity markets,renewables,market power,auctions,empirical industrial organization,regulation
High Performance Genomics for Software Defined Infrastructures (Hi-OMICS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Spain
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2017-10-01
End date: 2019-03-31
Duration (months): 18.0
Total project cost (EUR): 149375.0
EU funding (EUR): 149375.0
Participants: 1
Project status: CLOSED

The Hi-OMICS PoC aims to pave the road to commercialisation of the Hi-OMICS Controller, a Software Defined Infrastructure Controller (SDI) specifically designed to efficiently manage Computational Genomics workloads running on upcoming SDI platforms. The necessary activities to achieve this status are structured in two blocks: 1) Market analysis, Commercialisation Plan and the definition and implementation of a IPR protection plan for the Hi-OMICS Controller; and 2) Software development efforts to bring Hi-OMICS Controller to a Commercial Readiness Level 6. The PoC will build on top of the research conducted within the Hi-EST project (ERC Starting Grant, GA 639595). It will close the gap between the research results of the Hi-EST Starting grant and the production of a commercial software solution (Hi-OMICS Controller) for the Computational Genomics sector. In particular, the solution will target facilities running Computational Genomics pipelines for genomic or transcriptomic sequences derived mostly, but not only, from Next Generation Sequencing. The result of this effort will be the achievement of a market-ready Hi-OMICS Controller.

Keywords: software defined infrastructures,computational genomics,process optimisation,software acceleration,disaggregated computing
A revolutionary I/O Planning Solution for 2.5D & 3D Nanoelectronic Systems Design (HIPER)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-08-01
End date: 2020-07-31
Duration (months): 24.0
Total project cost (EUR): 1179000.0
EU funding (EUR): 825300.0
Participants: 1
Project status: CLOSED

HIPER is an advanced EDA (Electronic Design Automation) software for the optimization of I/O Planning of 2.5-D micro/nano electronic systems. This is an important enabling technology to assist in the design of 2.5D electronics and has been developed by MONOZUKURI S.p.A. HIPER is capable of analysing, designing and optimizing the 2.5-D I/O planning of all electronic components (ICs, silicon interposer and package(s)) thanks to its software platform and revolutionary algorithms. This innovative solution will leverage a 30% reduction in the production costs, a 50% decrease in design lead-time, and an improvement in the overall product performance due to 65% reduction in wire crossing and 80% reduction in total connections length. The $7billion EDA market is dominated by three companies, Synopsys, Cadence Design Systems and Mentor Graphics. As a result of the work undertaken so far, in the 4th quarter of 2016 we started an official partnership with Synopsys where we have been granted access to their Physical implementation platform and we are currently working together to help two customers who are taping-out HBM-based 2.5D-IC. The solution, which is already backed by many prospective clients, targets major semiconductors companies, design houses, package manufacturers, and OSAT businesses, and is expected to be used by leading electronic companies in Europe (Italy, Germany, UK), ASIA, and USA within three years after its commercialization. The Global Electronic Design Automation market is expected to grow at a CAGR of 8.52% over the period 2016-2020 which provides an encouraging base for introducing new EDA tools. Moreover, HIPER perfectly serves the “Electronics Strategy for Europe”, adopted in May 2013 by the European Commission.

Keywords: 2 5d ic,3d ic,silicon interposer,o planning optimization,floorplanning,feasibility routing,flip chip,rdl routing,o assignment,bumping assignment