Tag Archives: Massachusetts Institute of Technology

Using Graphene, Munitions Go Further, Much Faster

Researchers from the U.S. Army and top universities discovered a new way to get more energy out of energetic materials containing aluminum, common in battlefield systems, by igniting aluminum micron powders coated with graphene oxide.

This discovery coincides with the one of the Army‘s modernization priorities: Long Range Precision Fires. This research could lead to enhanced energetic performance of metal powders as propellant/explosive ingredients in Army’s munitions.

Lauded as a miracle material, graphene is considered the strongest and lightest material in the world. It’s also the most conductive and transparent, and expensive to produce. Its applications are many, extending to electronics by enabling touchscreen laptops, for example, with light-emitting diode, or LCD, or in organic light-emitting diode, or OLED displays and medicine like DNA sequencing. By oxidizing graphite is cheaper to produce en masse. The result: graphene oxide (GO).

Scanning electron micrograph shows the Al/GO composite.

Although GO is a popular two-dimensional material that has attracted intense interest across numerous disciplines and materials applications, this discovery exploits GO as an effective light-weight additive for practical energetic applications using micron-size aluminum powders (µAl), i.e., aluminum particles one millionth of a meter in diameter.

The research team published their findings in the October edition of ACS Nano with collaboration from the RDECOM Research Laboratory, the Army’s corporate research laboratory (ARL), Stanford University, University of Southern California, Massachusetts Institute of Technology and Argonne National Laboratory.

Source: https://www.arl.army.mil/

How to mass produce cell-sized robots

NanoRobots no bigger than a cell could be mass-produced using a new method developed by researchers at MIT. The microscopic devices, which the team calls “syncells” (short for synthetic cells), might eventually be used to monitor conditions inside an oil or gas pipeline, or to search out disease while floating through the bloodstream.

The key to making such tiny devices in large quantities lies in a method the team developed for controlling the natural fracturing process of atomically-thin, brittle materials, directing the fracture lines so that they produce miniscule pockets of a predictable size and shape. Embedded inside these pockets are electronic circuits and materials that can collect, record, and output data.  The system uses a two-dimensional form of carbon called graphene, which forms the outer structure of the tiny syncells. One layer of the material is laid down on a surface, then tiny dots of a polymer material, containing the electronics for the devices, are deposited by a sophisticated laboratory version of an inkjet printer. Then, a second layer of graphene is laid on top.

This photo shows circles on a graphene sheet where the sheet is draped over an array of round posts, creating stresses that will cause these discs to separate from the sheet. The gray bar across the sheet is liquid being used to lift the discs from the surface

People think of graphene, an ultrathin but extremely strong material, as being “floppy,” but it is actually brittle, Strano explains. But rather than considering that brittleness a problem, the team figured out that it could be used to their advantage. “We discovered that you can use the brittleness,” says Strano, who is the Carbon P. Dubbs Professor of Chemical Engineering at MIT. “It’s counterintuitive. Before this work, if you told me you could fracture a material to control its shape at the nanoscale, I would have been incredulous.”

The novel process, called “autoperforation,” is described in a paper published today in the journal Nature Materials, by MIT Professor Michael Strano, postdoc Pingwei Liu, graduate student Albert Liu, and eight others at MIT.

Source: http://news.mit.edu/

MIT Artificial Intelligence System Detects 85 Percent Of Cyber Attacks

While the number of cyber attacks continues to increase it is becoming even more difficult to detect and mitigate them in order to avoid serious consequences. A group of researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is working on an ambitious project, the development of a technology that is able to early detect cyber attacks. The experts in collaboration with peers from the startup PatternEx have designed an Artificial Intelligence system that is able to detect 85 percent of attacks by using data from more than 3.6 Billion lines of log files each day.

The researchers have developed a system that combines an Artificial Intelligence engine with human inputs. , which researchers call Analyst Intuition (AI), which is why it has been given the name of AI2. The AI2 system first performs an automatic scan of the content with machine-learning techniques and then reports the results to human analysts which have to discriminate events linked to cyber attacks. According to the experts at the MIT the approach implemented by the AI2 system is 3 times better than modern automated cyber attack detection systems.

“The team showed that AI2 can detect 85 percent of attacks, which is roughly three times better than previous benchmarks, while also reducing the number of false positives by a factor of 5. The system was tested on 3.6 billion pieces of data known as “log lines,” which were generated by millions of users over a period of three months.” states a description of the AI2 published by the MIT.

The greater the number of analyzes carried out by the system, the more accurate the subsequent estimates thanks to the feedback mechanism.

“You can think about the system as a virtual analyst,” says CSAIL research scientist Kalyan Veeramachaneni, who developed AI2 with Ignacio Arnaldo, a chief data scientist at PatternEx and a former CSAIL postdoc. “It continuously generates new models that it can refine in as little as a few hours, meaning it can improve its detection rates significantly and rapidly.”

Source: http://ai2.appinventor.mit.edu/

Nanoparticles Cross The Blood-Brain Barrier, Shrink Glioblastoma Tumors

Glioblastoma multiforme, a type of brain tumor, is one of the most difficult-to-treat cancers. Only a handful of drugs are approved to treat glioblastoma, and the median life expectancy for patients diagnosed with the disease is less than 15 months.

MIT researchers have now devised a new drug-delivering nanoparticle that could offer a better way to treat glioblastoma. The particles, which carry two different drugs, are designed so that they can easily cross the blood-brain barrier and bind directly to tumor cells. One drug damages tumor cells’ DNA, while the other interferes with the systems cells normally use to repair such damage.

In a study of mice, the researchers showed that the particles could shrink tumors and prevent them from growing back.

What is unique here is we are not only able to use this mechanism to get across the blood-brain barrier and target tumors very effectively, we are using it to deliver this unique drug combination,” says Paula Hammond, a David H. Koch Professor in Engineering, the head of MIT’s Department of Chemical Engineering, and a member of MIT’s Koch Institute for Integrative Cancer Research.

Source: http://news.mit.edu/