Oct
21
Now There is a Super Catalyst With 14 Active Elements
October 21, 2021 | Leave a Comment
A research group in Japan has successfully developed a “nanoporous super multi-element catalyst” (1) that contains 14 elements (2) which are mixed uniformly at the atomic level and used as a catalyst. The new catalyst was found to show excellent properties as an electrode material for water electrolysis due to the multi-element superposition effect (cocktail […]
Oct
13
Making Fertilizer For Food Fuel & Fiber With Less Energy
October 13, 2021 | 3 Comments
Nanyang Technological University researchers have devised a new less energy intensive method to make a key compound in nitrogen fertilizer, and that may pave the way to a more sustainable agricultural practice as global food demand rises. The method devised by NTU researchers produces a compound known as ‘urea’, which is a natural product found […]
Oct
6
Some Catalysts Improve In Use – Why Is Found For Hydrogen
October 6, 2021 | Leave a Comment
Open Image…Save ImageOpen Image (using #TmpD/ia)… Open Image…Save ImageOpen Image (using #TmpD/ia)… Researchers at Helmholtz-Zentrum Berlin für Materialien und Energie (HZB) are asking why some catalysts increase their performance when used. As a general rule, most catalyst materials deteriorate during repeated catalytic cycles – they age. One example increasing its performance is the mineral erythrite, a mineral compound comprising cobalt and arsenic oxides. Erythrite lends […]
Sep
22
New Nanomaterial May Harvest Hydrogen From The Sea
September 22, 2021 | 1 Comment
Researchers at the University of Central Florida have designed for the first time a nanoscale material that can efficiently split seawater into oxygen and hydrogen. Hydrogen fuel derived from the sea could be an abundant and sustainable alternative to fossil fuels, but the potential fuel source has been limited by technical challenges, including how to […]
Sep
16
Machine Learning Links Up Catalyst Performance & Materials
September 16, 2021 | 1 Comment
University of Michigan researchers have used machine learning to predict how the compositions of metal alloys and metal oxides affect their electronic structures. The finding could help pave the way toward cleaner fuels and a more sustainable chemical industry. The electronic structure is key to understanding how the material will perform as a mediator, or […]
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