via Nanowerk
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:Â Where deep learning meets metamaterials
The Latest on: Metamaterials
via Google News
The Latest on: Metamaterials
- Metamaterials Market with Strong Focus on Industry Size, by Financial Highlights, Market Segments, Growth Rate, Revenue, and Forecast to 2026on May 23, 2022 at 4:50 am
The MarketWatch News Department was not involved in the creation of this content. May 23, 2022 (The Expresswire) -- The “Metamaterials Market" Report 2022, the business scene is covered from driving ...
- Global Metamaterials Market To Be Driven By The Rapid Technological Advancements In The Forecast Period Of 2021-2026on May 21, 2022 at 3:08 am
The new report by Expert Market Research titled, ‘Global Metamaterial Market Report and Forecast 2021-2026’, gives an in-depth analysis of the global metamaterial market, asse ...
- Blurring the boundary between Floquet matter and metamaterialson May 19, 2022 at 8:28 am
Metamaterials—artificial media with tailored subwavelength structures—have now encompassed a broad range of novel properties that are unavailable in nature. This field of research has stretched across ...
- Outlook on the Metamaterial Global Market to 2027 - Use of Metamaterials in Solar Power Systems Presents Opportunities - ResearchAndMarkets.comon May 19, 2022 at 7:57 am
Advisor Insights Personal Finance Market Volatility Retirement Planning Start Investing Save for College Best Investments See All ...
- Outlook on the Metamaterial Global Market to 2027 - Use of Metamaterials in Solar Power Systems Presents Opportunities - ResearchAndMarkets.comon May 19, 2022 at 7:42 am
The "Global Metamaterial Market (2022-2027) by Technology, Applications, Vertical, Competitive Analysis and the Impact of Covid-19 with Ansoff Analysis" report has been added to ResearchAndMarkets.com ...
- Floquet matter and metamaterials: Time to join forceson May 18, 2022 at 9:47 pm
Recent progress in photonics has inspired interest in material dynamics under external pumping. This progress has been shared by two flourishing but insofar disconnected areas: the first is Floquet ...
- Teaching physics to AI allows it to discover new insights into material propertieson May 18, 2022 at 12:19 pm
Researchers at Duke University have demonstrated that incorporating known physics into machine learning algorithms can help the inscrutable black boxes attain new levels of transparency and insight ...
- Metamaterials Market In-Depth Manufacturers Analysis, Revenue, COVID-19 Impact, Supply, Development Growth 2022on May 17, 2022 at 8:13 am
May 17, 2022 (Heraldkeepers) -- The report scope includes detailed competitive outlook covering market shares and profiles key participants in the global Metamaterials market share. Major industry ...
- Have Scientists Designed the Perfect Chocolate?on May 11, 2022 at 7:33 am
Part of a burgeoning field of 'edible metamaterials,' Dutch physicists found that 3-D printed spiral-shaped candies give the ideal eating experience ...
via Bing News