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Machine Learning in Disordered Photonics

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.

Coordinator

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Net EU contribution
€ 212 933,76
Address
Trinity Lane The Old Schools
CB2 1TN Cambridge
United Kingdom

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Region
East of England East Anglia Cambridgeshire CC
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00