Tel Aviv University researchers devise new approach to streamlining design of nanoscale building blocks with endless applications
Breakthroughs in the field of nanophotonics — how light behaves on the nanometer scale — have paved the way for the invention of “metamaterials,” man-made materials that have enormous applications, from remote nanoscale sensing to energy harvesting and medical diagnostics. But their impact on daily life has been hindered by a complicated manufacturing process with large margins of error.
Now a new interdisciplinary Tel Aviv University study published in Light: Science and Applications demonstrates a way of streamlining the process of designing and characterizing basic nanophotonic, metamaterial elements. The study was led by Dr. Haim Suchowski of TAU’s School of Physics and Astronomy and Prof. Lior Wolf of TAU’s Blavatnik School of Computer Science and conducted by research scientist Dr. Michael Mrejen and TAU graduate students Itzik Malkiel, Achiya Nagler and Uri Arieli.
“The process of designing metamaterials consists of carving nanoscale elements with a precise electromagnetic response,” Dr. Mrejen says. “But because of the complexity of the physics involved, the design, fabrication and characterization processes of these elements require a huge amount of trial and error, dramatically limiting their applications.”
Deep Learning a key to precision manufacturing
“Our new approach depends almost entirely on Deep Learning, a computer network inspired by the layered and hierarchical architecture of the human brain,” Prof. Wolf explains. “It’s one of the most advanced forms of machine learning, responsible for major advances in technology, including speech recognition, translation and image processing. We thought it would be the right approach for designing nanophotonic, metamaterial elements.”
The scientists fed a Deep Learning network with 15,000 artificial experiments to teach the network the complex relationship between the shapes of the nanoelements and their electromagnetic responses. “We demonstrated that a ‘trained’ Deep Learning network can predict, in a split second, the geometry of a fabricated nanostructure,” Dr. Suchowski says.
The researchers also demonstrated that their approach successfully produces the novel design of nanoelements that can interact with specific chemicals and proteins.
Broadly applicable results
“These results are broadly applicable to so many fields, including spectroscopy and targeted therapy, i.e., the efficient and quick design of nanoparticles capable of targeting malicious proteins,” says Dr. Suchowski. “For the first time, a novel Deep Neural Network, trained with thousands of synthetic experiments, was not only able to determine the dimensions of nanosized objects but was also capable of allowing the rapid design and characterization of metasurface-based optical elements for targeted chemicals and biomolecules.
“Our solution also works the other way around. Once a shape is fabricated, it usually takes expensive equipment and time to determine the precise shape that has actually been fabricated. Our computer-based solution does that in a split second based on a simple transmission measurement.”
The researchers, who have also written a patent on their new method, are currently expanding their Deep Learning algorithms to include the chemical characterization of nanoparticles.
Learn more: Where deep learning meets metamaterials
The Latest on: Metamaterials
via Google News
The Latest on: Metamaterials
- Randomized resonant metamaterials for single-sensor identification of elastic vibrationson May 11, 2020 at 2:08 am
Designing efficient and flexible metamaterial with uncorrelated transmissions for spatial vibration encoding and identification remains a challenge. Here, the authors propose a randomized resonant ...
- Three-dimensional self-assembly using dipolar interactionon May 8, 2020 at 11:31 am
Interaction between dipolar forces, such as permanent magnets, generally leads to the formation of one-dimensional chains and rings. We investigated whether it was possible to let dipoles ...
- Mimicking bio-mechanical principles in photonic metamaterials for giant broadband nonlinearityon May 8, 2020 at 2:32 am
Biological materials such as bone show enhanced mechanical properties due to their specific structures, which can inspire new biomimetic materials. Here, a broadband metamaterial exhibiting giant ...
- Broadband Enhancement Relies on Hyperbolic Metamaterials Tilted at Precise Angleon May 5, 2020 at 8:30 pm
Investigators develop a quantum photonics prototype using hyperbolic metamaterials tilted at a precise angle from an optical fiber. Quantum photonics involves a new type of technology that relies on ...
- A new law for metamaterialson May 5, 2020 at 12:06 pm
Metamaterials, which are engineered to have properties not found in nature, have long been developed and studied because of their unique features and exciting applications. However, the physics behind ...
- Lux Research Forecasts USD 10.7 Billion Market Opportunity in Metamaterial Deviceson April 26, 2020 at 5:00 pm
Metamaterials are being deployed for telecommunication antennas, electromagnetic sensors like radar and lidar, vibration damping, energy harvesting, and wireless charging. Critically, these ...
- Nanosystems Engineering Research Center for Directed Multiscale Assembly of Cellular Metamaterials with Nanoscale Precision: CELL-METon April 22, 2020 at 5:00 pm
Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge ...
- In acoustic waves, engineers break reciprocity with ‘spacetime-varying metamaterials’on April 21, 2020 at 5:00 pm
UB engineers have taken a step in this direction. Working in an emerging field known to as “spacetime-varying metamaterials,” engineers have demonstrated the ability to break reciprocity in acoustic ...
- Engineers develop way to improve efficiency and heat tolerance of deviceson April 21, 2020 at 7:30 am
Using dopants --small, engineered materials also called metamaterials -- the researchers altered the dielectric capacitor to increase storage capacity while also increasing electric charge ...
via Bing News