The ability to make and test thousands of different but structurally related molecules has had a huge impact on the pharmaceutical industry. These days, it’s not uncommon for a company to make (or simulate) tens of thousands of similar molecules in an attempt to identify one in which the required biochemical activity is optimised. This brute force method, called combinatorial chemistry, is also used to identify new catalysts, light emitting materials and electronic devices.
So it’s not really a stretch to imagine the same technique being used to discover new metamaterials with unusual electromagnetic properties and indeed that is exactly what Eric Plum and pals at the University of Southampton today suggest.
Their idea is to create an array of metamaterial samples in which various design parameters vary in a regular way. They then test each new material with a view to finding one in which the properties are optimised for the kind of photons the team want to manipulate.
They test the idea by creating an array cells each containing a new metamaterial made of gold square split ring resonators and in which the size of the squares varies from cell to cell in steps of 25 nm.
They then measured the reflection and transmission properties of each cell and compared the results to computer simulations of their properties.
What these guys are looking for are resonance effects that occur at very specific frequencies and which can be fine-tuned by varying factors such as the size of the split rings and the number and thickness of extra layers. These so-called Fano resonances are important because they act like optical switches that are flicked on by light of a specific frequency.
There’s one problem though: small but inescapable variations in the manufacturing process inevitably change the resonances. But by comparing the simulated and experimental performance, Plum and co were able to characterise the changes caused by manufacturing variations.
That’s a potentially lucrative ability. Engineers expect to use Fano resonances in future generations of electronic devices as everything from ultracompact nanoantennas to optical memories. And that means there’s a potentially huge payoff at stake for anyone who can master the technology.
Ref: arxiv.org/abs/1009.0391: A Combinatorial Approach To Metamaterials Discovery
It will soon be easy for self-driving cars to hide in plain sight. We shouldn’t let them.
If they ever hit our roads for real, other drivers need to know exactly what they are.
Maximize business value with data-driven strategies
Every organization is now collecting data, but few are truly data driven. Here are five ways data can transform your business.
Cryptocurrency fuels new business opportunities
As adoption of digital assets accelerates, companies are investing in innovative products and services.
Yann LeCun has a bold new vision for the future of AI
One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.