Researchers have developed a new artificial intelligence (AI)-powered approach to analyzing X-ray diffraction (XRD) data. XRD uses the shifting of X-rays to peer inside the structure of matter.
For the first-ever time, a research group from the Tokyo University of Agriculture and Technology (TUAT) has illustrated with the help of experiments involving high-precision rheological measurements and a newly proposed theory that the impact on the flow reverses according to the degree of change in the properties due to the reaction in a reacting flow with the formation of viscoelastic material.
Writing in Sustainability, a team of researchers has investigated the recovery of ammonium and phosphate from biogas slurry, taking a multivariate statistical approach to the research question.
Scientists from the Lawrence Livermore National Laboratory in California have developed catalytic electrodes using direct-ink writing, a 3D printing technology.
In an article recently published in the journal ACS Energy Letters, researchers discussed the development of fast-switching electrochromic devices driven by a potential gradient.
A team of researchers from Saudi Arabia and China have reported the development of a novel neural-network inspired solid polymer electrolyte with enhanced Li-ion conductivity.
In an article recently published in the journal ACS Energy Letters, researchers discussed the CO2 Electrolyzer Intermittent Operation at industrially relevant current densities.
In an article recently published in the journal Additive Manufacturing, researchers discussed the utility of toolpath-based design for the development of carbon-efficient architectural structures by using 3D concrete printing.
In a world of materials that normally expand upon heating, one that shrinks along one 3D axis while expanding along another stands out. That's especially true when the unusual shrinkage is linked to a property important for thermoelectric devices, which convert heat to electricity or electricity to heat.
Researchers at the Department of Energy's Oak Ridge National Laboratory are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab's Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
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