摘要
由新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-详细的机器学习数据已经呈现。根据NEWSRX记者从宾夕法尼亚州匹兹堡发回的新闻报道，研究表明：“表面偏析，即合金的表面成分与块体有系统的不同，历史上很难研究，因为它需要跨越合金成分空间的实验和建模方法。”我们研究了与催化有关的贵金属和铂族金属合金的表面偏析，重点研究了三种terna ry系统：AgAuCu，AuCuPd和CuPdPt。这项研究的资金支持包括国家能源研究科学计算中心(NERSC)、美国能源部(DOE)、NSF DMREF奖。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting from Pittsburgh, Pennsylvania, by N ewsRx journalists, research stated, "Surface segregation, whereby the surface co mposition of an alloy differs systematically from the bulk, has historically bee n hard to study, because it requires experimental and modeling methods that span alloy composition space. In this work, we study surface segregation in catalyti cally relevant noble and platinum-group metal alloys with a focus on three terna ry systems: AgAuCu, AuCuPd, and CuPdPt." Financial supporters for this research include National Energy Research Scientif ic Computing Center (NERSC), United States Department of Energy (DOE), NSF DMREF Award.
NETL
NSTL