Resumen
The take-up of nanophotonic integrated technologies is boosting a wide range of applications of high societal and
economical relevance. A European and worldwide ecosystem is growing to support the increasing needs, going beyond
niche markets. To keep pace with such a rapidly evolving field, the NIRVANA project aims to expand and consolidate a
silicon-based photonic integrated platform, unique in Spain, by integrating novel material technologies and developing new
devices that will be validated for emerging high-impact fields from artificial intelligence and on-chip spectroscopy to solidstate
sensors for the health, agrifood, and environmental sectors.
A wide variety of materials (chalcogenides, phase-transition materials, transparent conducting oxide, graphene, and indium
phosphide) and their integration into silicon devices will be developed for enabling photonic hardware (optical neural
networks) to support artificial intelligence applications with lower energy consumption and faster speeds will be investigated.
On the other hand, novel silicon waveguide nanophotonic circuits will be optimized and demonstrated to improve sensitivity
in Raman spectroscopy using telecom wavelengths laser and surface-enhanced Raman spectroscopy of single molecular
monolayers using visible light excitation. Furthermore, the proof-of-concept demonstration of chiral spectroscopy on a
nanophotonic chip will also be targeted.
Photonics is envisaged as one of the main technologies for the development of advanced analysis sensing systems for
health, agrifood, and environmental applications, commonly known as Lab-on-a-Chip (LOC) systems. In the NIRVANA
project, two main approaches will be addressed for the development of novel photonic-based LOC systems for health and
clinical diagnostics, one based on tomographic phase microscopy and the other based on localized surface plasmonic
resonance combined with molecular gates. In addition, novel photonic integrated sensors for the detection of microbial,
chemical, allergens and toxins contamination in food and water resources will also be targeted at the project. Disruptive
approaches such as the use of slow-wave phenomena, multi-sensing or porous materials will be considered. Furthermore,
nanophotonic devices optimized for the visible wavelength regime will be developed to reduce costs and facilitate
penetration in the agrifood and environmental sectors.
