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Category: engineering – Page 168

Why this trick should be IMPOSSIBLE ft. Rodney Mullen — Skateboarding Science

Skateboarding legend Rodney Mullen teams up with Physics Girl to explain the unusual physics behind skateboard tricks. Filmed with a phantom high speed camera at 1000fps, see Mullen’s tricks like never before.

If you liked this video check out these:
How SMOOTHNESS of a SOCCER BALL affects curve!

Crazy tic tac bounce!?

Created by: dianna cowern editing: jabril ashe animations: kyle norby props: kyle kitzmiller science advisor: dan walsh

Check out Beyond Slow Motion:
https://www.youtube.com/beyondslowmotion
and Kuma Films:
https://www.youtube.com/channel/UC497r18hyShx1ffsYcgK_kg

A million thanks to Rodney Mullen!
https://www.instagram.com/rodneymullen/?hl=en

Thanks to Kyle Kitzmiller

Continue reading “Why this trick should be IMPOSSIBLE ft. Rodney Mullen — Skateboarding Science” | >

Novel Error Correction Code Opens a New Approach to Universal Quantum Computing

Government agencies and universities around the world—not to mention tech giants like IBM and Google—are vying to be the first to answer a trillion-dollar quantum question : How can quantum computers reach their vast potential when they are still unable to consistently produce results that are reliable and free of errors?

Every aspect of these exotic machines—including their fragility and engineering complexity; their preposterously sterile, low-temperature operating environment; complicated mathematics; and their notoriously shy quantum bits (qubits) that flip if an operator so much as winks at them—are all potential sources of errors. It says much for the ingenuity of scientists and engineers that they have found ways to detect and correct these errors and have quantum computers working to the extent that they do: at least long enough to produce limited results before errors accumulate and quantum decoherence of the qubits kicks in.

Researchers develop viable sodium battery

Washington State University (WSU) and Pacific Northwest National Laboratory (PNNL) researchers have created a sodium-ion battery that holds as much energy and works as well as some commercial lithium-ion battery chemistries, making for a potentially viable battery technology out of abundant and cheap materials.

The team reports one of the best results to date for a sodium-ion . It is able to deliver a capacity similar to some and to recharge successfully, keeping more than 80 percent of its charge after 1,000 cycles. The research, led by Yuehe Lin, professor in WSU’s School of Mechanical and Materials Engineering, and Xiaolin Li, a senior research scientist at PNNL is published in the journal, ACS Energy Letters.

“This is a major development for ,” said Dr. Imre Gyuk, director of Energy Storage for the Department of Energy’s Office of Electricity who supported this work at PNNL. “There is great interest around the potential for replacing Li-ion batteries with Na-ion in many applications.”

Predictive biology: modelling, understanding and harnessing microbial complexity

Predictive biology is the next great chapter in synthetic and systems biology, particularly for microorganisms. Tasks that once seemed infeasible are increasingly being realized such as designing and implementing intricate synthetic gene circuits that perform complex sensing and actuation functions, and assembling multi-species bacterial communities with specific, predefined compositions. These achievements have been made possible by the integration of diverse expertise across biology, physics and engineering, resulting in an emerging, quantitative understanding of biological design. As ever-expanding multi-omic data sets become available, their potential utility in transforming theory into practice remains firmly rooted in the underlying quantitative principles that govern biological systems. In this Review, we discuss key areas of predictive biology that are of growing interest to microbiology, the challenges associated with the innate complexity of microorganisms and the value of quantitative methods in making microbiology more predictable.

Smart metamaterials that sense and reprogram themselves

Materials scientists aim to engineer intelligence into the fabric of materials or metamaterials for programmable functions. Engineering efforts can vary from passive to active forms to develop programmable metasurfaces using dynamic and arbitrary electromagnetic (EM) wavefields. Such metasurfaces, however, require manual control to switch between functions. In a new study now published on Light: Science & Applications, Qian Ma and an interdisciplinary research team in the State Key Laboratory, Cyberspace Science and Technology, and the Department of Electronics in China engineered a smart metasurface for self-adaptive programmability.

Making matter out of light: high-power laser simulations point the way

A few minutes into the life of the universe, colliding emissions of light energy created the first particles of matter and antimatter. We are familiar with the reverse process—matter generating energy—in everything from a campfire to an atomic bomb, but it has been difficult to recreate that critical transformation of light into matter.

Now, a new set of simulations by a research team led by UC San Diego’s Alexey Arefiev point the way toward making matter from light. The process starts by aiming a high-power laser at a target to generate a magnetic field as strong as that of a neutron star. This field generates that collide to produce—for the very briefest instant—pairs of matter and antimatter particles.

The study, published May 11 in Physical Review Applied offers a sort of recipe that experimentalists at the Extreme Light Infrastructure (ELI) high-power laser facilities in Eastern Europe could follow to produce real results in one to two years, said Arefiev, an associate professor of mechanical and aerospace engineering.

New material could be used to make a liquid metal robot

Eric Klien

A liquid metal lattice that can be crushed but returns to its original shape on heating has been developed by Pu Zhang and colleagues at Binghamton University in the US. The material is held together by a silicone shell and could find myriad uses including soft robotics, foldable antennas and aerospace engineering. Indeed, the research could even lead to the creation of a liquid metal robot evoking the T-1000 character in the film Terminator 2.

The team created the liquid metal lattice using a special mixture of bismuth, indium and tin known as Field’s alloy. This alloy has the relatively unusual property of melting at just 62 °C, which means it can be liquefied with just hot water. Field’s alloy already has several applications – including as a liquid-metal coolant for advanced nuclear reactors.

Zhang and colleagues combined the alloy with a silicone shell through a complex hybrid manufacturing process that combines 3D printing, vacuum casting and so-called “conformal coating” – a technique normally used to coat circuit boards in a thin polymer layer to protect them against the environment. The silicone shell is what allows the lattice to “remember” a desired shape and restore such when the alloy is melted.