AI-Based Technique Could Accelerate Creation of Specialized Nanoparticles

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?”

Read more at azonano.com

Image Credit:  Vanderbilt University

News This Week

‘Please do not switch me off!’ People heed begging robot

If a little humanoid robot begged you to not shut it off, would you show compassion? In an experiment designed to investigate how people treat robots when they act like humans, many participants struggled [...]

How Artificial Intelligence is Changing Radiology, Pathology

Artificial intelligence and machine learning tools have the potential to analyze large datasets and extract meaningful insights to enhance patient outcomes, an ability that is proving helpful in radiology and pathology. Images obtained by [...]

Nanoparticle-Based Combination Therapy to Treat Breast, Prostate Cancer

Researchers at the University of East Anglia have developed a new nanoparticle-based cancer therapy to deliver a combination therapy directly to cancer cells. The new therapy, which has been demonstrated to make prostate cancer [...]

AI: ChronWell CEO On Why Consolidation in Healthcare Is A Good Thing

When Joe Rubinsztain started gMed, he was admittedly young—only a few years removed from medical school— and he just didn’t understand leadership that well. “I needed to be abreast of everything and understand everything [...]

Artificial Intelligence for Medical Imaging Market to Top $2B

Healthcare organizations are likely to see a rapidly growing market around artificial intelligence tools for medical imaging, a new report predicts. The market for artificial intelligence (AI) tools to process and analyze medical imaging [...]

Tuberculosis is a killer, but scientists are fighting back with nanobots

Tuberculosis, a bacterial disease which predominantly affects the lungs, isn’t all that common a sight in the United States. On average, fewer than 10,000 cases are reported each year in a country with [...]

Integrated sensor could monitor brain aneurysm treatment

Implantation of a stent-like flow diverter can offer one option for less invasive treatment of brain aneurysms – bulges in blood vessels – but the procedure requires frequent monitoring while the vessels heal. Now, [...]

Nanotechnology in Medicine: Breakthrough Advances in Cancer Detection and Treatment

Clinicians have often pondered if cancer cells could be selectively targeted, and how payloads ranging from fluorescent dyes to oncology drugs could be accurately delivered to these cells, and then safely cleared through the [...]

2018-06-05T13:39:03+00:00

Leave A Comment