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Stanford University

In research that could lead to improved treatment of chronic and debilitating pain conditions, scientists at Stanford Bio-X have shown that pain sensitivity in genetically modified mice can be altered by shining different colors of light on their paws. Read More
Chemical engineers have found a 30-year-old recipe that stands to make future hydrogen production cheaper and greener. The recipe has led researchers to a way to liberate hydrogen from water via electrolysis using molybdenum sulfide – moly sulfide for short – as the catalyst in place of the expensive metal platinum. Read More
Results from the crowdsourced game and experiment, EteRNA, which combines RNA folding puzzles with laboratory synthesis, show that human gamers are able to develop better models of RNA folding than previous computer algorithms. Design rules formulated by the online community have even been used to construct a new algorithm, EteRNABot, and in some cases represent completely new understandings about RNA folding that have yet to be explained mechanically. Read More
A team of theoretical physicists from the US Department of Energy’s (DOE) SLAC National Accelerator Laboratory and Stanford University is predicting that stanene, a single layer of tin atoms laid out in a two-dimensional structure, could conduct electricity with one hundred percent efficiency at room temperature. If the findings are confirmed they could pave the way for building computer chips that are faster, consume less power, and won't heat up nearly as much. Read More
Photoelectrochemical (PEC) cells can use sunlight to sustainably split water into hydrogen and oxygen, but efficient PEC materials tend to corrode rapidly in use. A Stanford research group has been studying this problem, and has found that depositing a thin layer of nickel atoms on a silicon PEC electrode allows it to operate for over 80 hours with no sign of corrosion. Read More
In their continuing efforts to increase the energy density of lithium-ion batteries, scientists have began looking at alternative materials for those batteries' electrodes – materials such as silicon. The problem is, electrodes swell and shrink as they absorb and release lithium ions, causing them to break down over time. This is particularly true of silicon, which is brittle by nature. Now, however, scientists have developed a conductive elastic polymer coating for those electrodes, that heals its own cracks after each use. Read More
Since it launched in 2011, the Robot House at the Southern California Institute of Architecture (SCI-Arc) has challenged students to create material forms of digital models by orchestrating complex robotic movements in space. But aided by the 3D printer they are breaking even newer ground. Students have begun concocting their own materials, which they can then fit with sensors to follow changes in the material as it is manipulated and, they hope, produce an appropriate response. Read More
If Angus MacGyver was a particle physicist, he might face a challenge like this: Take a femtosecond laser and a fused quartz grating and make the world's most powerful particle accelerator. Despite the apparent incongruity of the resources and the goal, researchers at the US Department of Energy’s SLAC National Accelerator Laboratory and Stanford University have fabricated a proof-of-principle electron accelerator using just such equipment. In the demonstration, electrons from a 60 MeV beam saw a force of acceleration about ten times greater than possible in a conventional accelerator. Read More
The Nobel Prize in Physiology or Medicine for 2013 was awarded jointly today to James E. Rothman, Randy W. Schekman and Thomas C. Südhof "for their discoveries of machinery regulating vesicle traffic, a major transport system in our cells." Read More
In a technological tour de force, researchers at Stanford University have constructed a one-bit, one-instruction programmable computer on a chip using carbon nanotube-based electronics for all logic elements. Containing 178 carbon nanotube field-effect transistors, the computer is only able to carry out only one instruction, called SUBNEG. However, SUBNEG is Turing-complete, allowing the computer to run, albeit with an extraordinary level of inefficiency, any program, given enough memory, time, and programming ingenuity. Read More
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