(editor's note: More research results are coming forth exploring the sustainable energy future of hydrogen gas.
And in a surprising link- by using nanotechnology, scientists have discovered a missing piece to a mathematical formula that dates back to ancient Sanskrit scrolls.
I'm so excited as each month passes to see the tremendous advances in our world. Soon, all of this information will be public knowledge, no more secrets, no more hiding and I will be moving on to yet another project :)
~All my Love, Boo)
Low-Cost Nanosheet Catalyst Discovered to Split Hydrogen from Water
Hydrogen gas offers one of the most promising sustainable energy alternatives to limited fossil fuels. But traditional methods of producing pure hydrogen face significant challenges in unlocking its full potential, either by releasing harmful carbon dioxide into the atmosphere or requiring rare and expensive chemical elements such as platinum.
Now, scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a new electrocatalyst that addresses one of these problems by generating hydrogen gas from water cleanly and with much more affordable materials. The novel form of catalytic nickel-molybdenum-nitride -- described in a paper published online May 8, 2012 in the journal Angewandte Chemie International Edition -- surprised scientists with its high-performing nanosheet structure, introducing a new model for effective hydrogen catalysis.
New Twist On Ancient Math Problem Could Improve Medicine, Microelectronics
A hidden facet of a math problem that goes back to Sanskrit scrolls has just been exposed by nanotechnology researchers at the University of Michigan and the University of Connecticut.
Called the "filling problem," it seeks the best way to cover the inside of an object with a particular shape, such as filling a triangle with discs of varying sizes. Unlike the traditional packing problem, the discs can overlap. It also differs from the "covering problem" because the discs can't extend beyond the triangle's boundaries.
That solution makes it immediately applicable to treating tumors using fewer shots with radiation beams or speeding up the manufacturing of silicon chips for microprocessors.
