摘要：The performance of proton exchange membrane fuel cells depends heavily on the oxygen reduction reaction(ORR)at the cathode,for which platinum-based catalysts are currently the *** high cost and limited availability of platinum have driven the search for alternative *** FeN4 single-atom catalysts have shown promising potential,their ORR activity needs to be further *** contrast,dual-atom catalysts(DACs)offer not only higher metal loading but also the ability to break the ORR scaling ***,the diverse local structures and tunable coordination environments of DACs create a vast chemical space,making large-scale computational screening *** this study,we developed a graph neural network(GNN)-based framework to predict the ORR activity of Fe-based DACs,effectively addressing the challenges posed by variations in local catalyst *** model,trained on a dataset of 180 catalysts,accurately predicted the Gibbs free energy of ORR intermediates and overpotentials,and identified 32 DACs with superior catalytic activity compared to FeN4 *** approach not only advances the design of high-performance DACs,but also offers a powerful computational tool that can significantly reduce the time and cost of catalyst development,thereby accelerating the commercialization of fuel cell technologies.

摘要：公立医院法人治理结构改革模式分为自主经营目标责任制模式、医院托管模式、董事会模式和管办分离模式四种。课题组认为,我国目前各地区和各级医院情况复杂,对公立医院治理结构改革改革不宜采用统一的模式,应当根据具体情况进行具体的制度设计。