Project description
Learning more about exotic light-scattering materials helps us to harness them
Like a bunch of pinballs reverberating around a pinball machine and bouncing off everything including each other, photons entering disordered materials are scattered several times before leaving the materials in random directions. The "dance" can continue, with the random rays interfering once again with each other. This amazing light show, if harnessed, can be used to develop innovative photonics devices. Until now, characterisation enabling the rational prediction of the properties of disordered materials and their subsequent design was an important roadblock. The EU-funded MALDIP project plans to apply machine-learning techniques and numerical simulations to get to the bottom of things.
Objective
The field of disordered photonics has increased its importance immensely over past decades as it finds widespread application in several fields from biomedical imaging, to solar energy harvesting, paint, pigments, food and cosmetic industry. However, the current development of highly scattering materials is often hindered by lack of ways to quantitatively predict and model their structural morphology and photonic properties. This action aims to characterize disordered photonic structures made of organic materials by analyzing their 3D structures using Gaussian Processes (GP) based machine learning techniques in conjunction with numerical optical simulations. The inherent randomness in the 3D arrangement of disordered photonics, makes them both intuitively and theoretically ideal to be modeled with GP. The novelty of this action consist of using state-of-the art GP method not only analyze 3D structures, but also to reconstruct them from lower dimensional data, like 2D images and spectroscopic data. Moreover by using the quantitative GP descriptors, we are able both generate input models for numerical simulations and using the feedback iteratively update those models to optimize them for high scattering. We expect that the complementary expertise in characterization and computational methods of the Host and the Researcher will produce not only invaluable insights, but also practical tools to characterize, quantify and exhaustively model and optimize complex photonic structures.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences mathematics applied mathematics statistics and probability
- natural sciences computer and information sciences artificial intelligence machine learning
- engineering and technology nanotechnology nanophotonics
- natural sciences mathematics applied mathematics numerical analysis
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2019
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
CB2 1TN Cambridge
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.