photonics

Machine learning in hardware via trained metasurface encoders: theory, design and applications

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B2 L5 R5209

In this thesis, we introduce a novel concept of metasurface optical accelerators for machine learning with the corresponding end-to-end optimization framework that is robust to fabrication intolerance and can simultaneously optimize in tens of millions of degrees of freedom. The core of this technology is universal approximators, a single surface of optical nanoresonators mathematically equivalent to a single layer of an artificial neural network (ANN).

Prof. Andrea Fratalocchi appointed member of the Editorial Board of Scientific Reports

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Prof. Andrea Fratalocchi has been appointed as a member of the Editorial Board of Scientific Reports.

Prof. Andrea Fratalocchi receives appreciation from Nature Publications as one of its best reviewers

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Prof. Andrea Fratalocchi received a letter of appreciation from the Editor-in-Chief of Nature for serving as a reviewer.

Tsunami On Demand: The Power To Harness Catastrophic Events

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A new study published today on Nature Physics features a nano-optical chip that makes possible generating and controlling nanoscale rogue waves. The innovative chip was developed by an international team of physicists, led by Andrea Fratalocchi from King Abdullah University of Science and Technology (KAUST), in Saudi Arabia, and is expected to have significant applications for energy research and environmental safety.

Cancer screening advance: single point genetic mutations made visible by new optical chip

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The collaboration of the teams of professors Enzo Di Fabrizio and Andrea Fratalocchi at the King Abdullah University of Science and Technology (KAUST), in Saudi Arabia, has led to the development of a new device that enables the detection of mutations down to a single amino acid.

Ph.D. student Valerio Mazzone wins best paper award

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Valerio Mazzone, a Ph.D. student in the Primalight group based in the University's Computer, Electrical and Mathematical Science and Engineering Division (CEMSE), was awarded the best paper award at the 9th International Conference on Metamaterials, Photonic Crystals and Plasmonics (META).

KAUST Associate Professor Andrea Fratalocchi’s research leads to Institute of Physics Fellowship

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Andrea Fratalocchi, associate professor in the University's Computer, Electrical and Mathematical Science and Engineering (CEMSE) division, was recently granted a Fellowship of the Institute of Physics (FInstP) by the Institute of Physics (IOP). Fratalocchi was awarded the IOP's highest level of membership in recognition of his outstanding accomplishments in physics.

Andrea Fratalocchi Elected OSA Fellow for Pioneering Innovations

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Andrea Fratalocchi, associate professor in the University's Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, was recently elected as a Fellow Member of The Optical Society of America (OSA) at the Society’s Board of Directors meeting in September.

Valerio Mazzone

Valerio Mazzone is a PhD student at the King Abdullah University of Science and Technology, where he joined Andrea Fratalocchi’s group, Primalight, since summer 2014. Valerio graduated in physics at University of Rome “La Sapienza”, Italy, with a MS Thesis about a computational study of DNA translocation in nanopore. His BS and MS studies focused on condensed matter and many-body systems. Before joining KAUST he collaborated with prof. Walter Schirmacher on a theoretical study of viscoelesticity of glass using coherent potential approximation. His current work regards the possibility to

Andrea Fratalocchi

Professor Fratalocchi is a pioneer in complex systems and sustainable technologies, focused on addressing critical global challenges. His groundbreaking research has led to innovative solutions in areas such as energy harvesting, clean water production and smart materials. As a founder of the ECE program at KAUST and co-founder of Pixeltra, Professor Fratalocchi is a proven leader and entrepreneur, successfully translating his research into real-world impact.