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Computer scientists at the University of California, Davis, and the California Institute of Technology have created DNA molecules that can self-assemble into patterns essentially by running their own program. The work is published March 21 in the journal Nature.

“The ultimate goal is to use computation to grow structures and enable more sophisticated molecular engineering,” said David Doty, assistant professor of computer science at UC Davis and co-first author on the paper.

The system is analogous to a computer, but instead of using transistors and diodes, it uses molecules to represent a six-bit binary number (for example, 011001). The team developed a variety of algorithms that can be computed by the molecules.

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Researchers at Caltech have designed a way to levitate and propel objects using only light, by creating specific nanoscale patterning on the objects’ surfaces.

Though still theoretical, the work is a step toward developing a spacecraft that could reach the nearest planet outside of our solar system in 20 years, powered and accelerated only by light.

A paper describing the research appears online in the March 18 issue of the journal Nature Photonics. The research was done in the laboratory of Harry Atwater, Howard Hughes Professor of Applied Physics and Materials Science in Caltech’s Division of Engineering and Applied Science.

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Up until now, the ability to make gray goo has been theoretical. However, the scientists at the Columbia University School of Engineering and Applied Science have made a significant breakthrough. The individual components are computationally simple but can exhibit complex behavior.


Current robots are usually self-contained entities made of interdependent subcomponents, each with a specific function. If one part fails, the robot stops working. In robotic swarms, each robot is an independently functioning machine.

In a new study published today in Nature, researchers at Columbia Engineering and MIT Computer Science & Artificial Intelligence Lab (CSAIL), demonstrate for the first time a way to make a robot composed of many loosely coupled components, or “particles.” Unlike swarm or modular robots, each component is simple, and has no individual address or identity. In their system, which the researchers call a “particle robot,” each particle can perform only uniform volumetric oscillations (slightly expanding and contracting), but cannot move independently.

The team, led by Hod Lipson, professor of mechanical engineering at Columbia Engineering, and CSAIL Director Daniela Rus, discovered that when they grouped thousands of these particles together in a “sticky” cluster and made them oscillate in reaction to a light source, the entire particle robot slowly began to move forward, towards the light.

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It’s cliché to describe something very noisy as “louder than a jet engine.” But supersonic jet engines, like those powering fighters flown by the U.S. military, are so much louder than regular jet engines that scientists have a special term for their sound—” broadband shock-associated noise.”

Now, a team of faculty and students from the Department of Aerospace Engineering at the University of Kansas will design and test to cut noise from supersonic military jets. The U.S. Department of Defense’s Strategic Environmental Research and Development Program (SERDP), the DoD’s environmental science and technology program, is supporting a one-year, $200,000 effort at KU, with the potential to expand that support in the years ahead.

“This project will test ideas to reduce from supersonic military aircraft,” said Z.J. Wang, Spahr Professor of Aerospace Engineering at KU, who is heading the new effort. “At the moment, the noise is so loud that it affects the health of personnel working in close proximity to the aircraft and people living close to the military base. This is a challenging problem, and we’ve suggested some novel ideas which have potential.”

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Sure, it’ll be great when a drone can drop off your Amazon Prime goodies or 7-Eleven snacks just minutes after you order them… but it’ll be even better when they help regrow millions of trees.

That’s what U.K.-based BioCarbon Engineering has set out to do. The company has been developing a high-tech system that uses drones to replant deforested areas — even in areas where planting wouldn’t be feasible using older methods.

BioCarbon’s system utilizes drones for two separate stages of the process. First, they’re sent into the target area to create a detailed, three-dimensional map. Once they’ve completed that step, the planting drones return to the site to do their thing.

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On May 5, 1809, Mary Kies became the first woman to receive a patent in the United States. (It was for her technique of weaving straw with silk.)

Of course, women inventors existed before this time, but the property laws in many states made it illegal for women to own property on their own. This led some women to apply for patents in their husbands’ names if they decided to apply at all.

As of last year, only 10 percent of U.S. patent holders were women, although women account for half of doctoral degrees in science and engineering. This disparity is due in part to the U.S. Patent and Trademark Office being more likely to reject patents with women as sole applicants.

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Four-dimensional (4D) printing can create complex 3D geometries that react to environmental stimuli, opening new design opportunities in materials science. A vast majority of 4D printing approaches use polymer materials, which limit the operational temperature during the process of engineering. In a recent study, Xiaolong Chen and co- workers at the Dyson School of Design and Engineering, Department of Earth Science and Engineering and Department of Materials at the Imperial College of London, U.K., developed a new multi-metal electrochemical 3D printer. The device was able to construct bimetallic geometries by selectively depositing different metals with temperature-responsive behavior programmed into the printed structure. In the study, they demonstrated a meniscus confined electrochemical 3D printing approach using a multi-print head design and nickel and copper materials as examples, the ability can be transferred to other deposition solutions. The results are now published in Scientific Reports.

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Boston University researchers, Xin Zhang, a professor at the College of Engineering, and Reza Ghaffarivardavagh, a Ph.D. student in the Department of Mechanical Engineering, released a paper in Physical Review B demonstrating it’s possible to silence noise using an open, ringlike structure, created to mathematically perfect specifications, for cutting out sounds while maintaining airflow.

“Today’s barriers are literally thick heavy walls,” says Ghaffarivardavagh. Although noise-mitigating barricades, called sound baffles, can help drown out the whoosh of rush hour traffic or contain the symphony of music within concert hall walls, they are a clunky approach not well suited to situations where airflow is also critical. Imagine barricading a jet engine’s exhaust vent—the plane would never leave the ground. Instead, workers on the tarmac wear earplugs to protect their hearing from the deafening roar.

Ghaffarivardavagh and Zhang let mathematics—a shared passion that has buoyed both of their engineering careers and made them well-suited research partners—guide them toward a workable design for what the acoustic metamaterial would look like.

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