MIT physicists have developed a new method that could someday provide a way to customize multilayered nanoparticles with preferred properties, potentially for use in cloaking systems, displays, or biomedical devices. It may also help physicists handle a range of thorny research issues, in ways that could in certain cases be orders of magnitude faster than present approaches.
The innovation employs computational neural networks, a form of artificial intelligence, to “learn” how a nanoparticle’s structure influences its behavior, in this case, the way it scatters various colors of light, based on numerous training examples. Then, having learned the association, the program can fundamentally be run backward to design a particle with a preferred set of light-scattering properties — a process known as inverse design.
The results are being published in the journal Science Advances, in a paper by MIT senior John Peurifoy, research affiliate Yichen Shen, graduate student Li Jing, professor of physics Marin Soljačić, and five others.
While the method could eventually result in practical applications, Soljačić says, the research is mainly of scientific interest as a way of predicting the physical properties of a range of nano-engineered materials without necessitating the computationally intensive simulation processes that are usually used to handle such issues.
Soljačić says that the objective was to study at neural networks, a field that has witnessed a lot of progress and produced excitement in recent years, to see, “whether we can use some of those techniques in order to help us in our physics research. So basically, are computers ‘intelligent’ enough so that they can do some more intelligent tasks in helping us understand and work with some physical systems?”
Image Credit: Vanderbilt University
News This Week
LAS CRUCES, N.M. — Members of an independent NASA safety panel said they were worried that the Oct. 11 Soyuz launch failure could make safety concerns with the agency's commercial crew program even worse. [...]
Canadian astronaut Col. Chris Hadfield (Ret.) on Friday said that human travel to space will happen sooner than we think, adding that the first destination will likely be a return trip to the moon. [...]
Antibody-based imaging of a particularly aggressive form of breast cancer is undergoing clinical trials worldwide, but the path from trial to application is being hampered by a major obstacle: safety. Concerns stem from inefficient [...]
Following the discovery of graphene in 2003, there has been considerable interest in other types of 2D materials. However, splitting a bulk crystal material into 2D flakes for use in electronics has proven hard [...]
The digital economy is set to unlock tremendous economic value for countries over time. But a common setback for the use of various new technologies is their vulnerability to hackers. That's because companies and [...]
Nanomedical Device and Systems Design: Challenges, Possibilities, Visions now available to rent on Kindle
To accommodate students who wish to read the book at an affordable cost, Nanomedical Device and Systems Design: Challenges, Possibilities, Visions by Frank Boehm (CEO NanoApps Medical Inc.) is available to rent on Kindle. This book benefits [...]
The last five years has seen a surge of attacks on the healthcare industry, with the largest breaches impacting as many as 80 million people. In July this year, it was revealed that 150,000 [...]