摘要：Efficient,low-cost,and stable electrocatalysts for water splitting are highly ***,three-dimensional(3D)Ni_(2)P nanosheet arrays were fabricated and simultaneously modulated by heterostructure engineering and Mn doping(Mn-doped Ni_(2)O_(3)/Ni_(2)P and Mn-doped Ni_(x)S_(y)/Ni_(2)P)via a facile hydrothermal reaction and subsequent phosphorization and *** to the Mn doping,synergistic effect in the heterostructures,and abundantly exposed active sites from the 3D-nanosheet arrays,Mn-doped Ni_(2)O_(3)/Ni_(2)P and Mn-doped Ni_(x)S_(y)/Ni_(2)P exhibit excellent properties for the hydrogen evolution reaction(HER)and oxygen evolution reaction(OER),*** former achieves an excellent current density of-10 mA cm^(-2) at a low overpotential of 104 mV for HER,while the latter attains 100 mA cm^(-2) for OER at an ultralow overpotential of 290 mV and exhibits superior stability at 50 mA cm^(-2) for 160 ***,the Mndoped Ni_(2)O_(3)/Ni_(2)P//Mn-doped Ni_(x)S_(y)/Ni_(2)P couple show high overall-water-splitting activity with a cell voltage of 1.65 V at 10 mA cm^(-2) and outstanding durability at 50 mA cm^(-2) for 120 h in an alkaline *** work presents an effective strategy to design and synthesize low-cost and highly active non-noble metal electrocatalysts for overall water splitting through the simultaneous application of heterostructure engineering,foreign-metal-atom doping,and a 3Dnanoarray *** strategy brings a paradigm shift toward the mass production of low-cost non-noble metal electrocatalysts for renewable energy devices.

摘要：研究目的:为了同时预测固体氧化物燃料电池(SOFC)的电压、温度动态特性和设计控制器,建立SOFC的控制相关动态辨识模型。创新要点:为了建立SOFC更精确的最小二乘支持向量回归机(LSSVR)动态模型,采用遗传算法(GA)优化LSSVR的参数。所建GA-LSSVR模型可同时预测SOFC的电压和温度动态特性。研究方法:1.分析SOFC的电化学和能量平衡子模型。2.利用所选择的最优LSSVR参数,建立了SOFC的GA-LSSVR动态辨识模型。通过仿真分析和比较,验证了所建模型的有效性(图3和4)。3.利用所建模型的预测结果,与模拟退火算法优化最小二乘支持向量回归机(SAA-LSSVR)和5折交叉验证最小二乘支持向量回归机(5FCV-LSSVR)模型的预测结果进行了比较,表明所建立的GA-LSSVR模型具有较高的预测精度(表3和4)。重要结论:通过比较SAA-LSSVR和5FCV-LSSVR模型的预测结果,发现所建GA-LSSVR模型具有较好的预测性能和精度。基于所建立的GA-LSSVR模型可进行有效的多变量控制器设计。

摘要：Alloyed nanoparticles with core-shell structures provide a favorable model to modulate interfacial interaction and surface structures at the atomic level,which is important for designing electrocatalysts with high activity and ***,core-shell structured Pd3M@Pt/C nanoparticles with binary PdM alloy cores(M=Fe,Ni,and Co)and a monolayer Pt shell were successfully synthesized with diverse *** these,Pd3Fe@Pt/C exhibited the best oxygen reduction reaction catalytic performance,roughly 5.4 times more than that of the commercial Pt/C catalyst used as *** significantly enhanced activity is attributed to the combined effects of strain engineering,interfacial electron transfer,and improved Pt *** functional theory simulations and extended X-ray absorption fine structure analysis revealed that engineering the alloy core with moderate lattice mismatch and alloy composition(Pd3Fe)optimizes the surface oxygen adsorption energy,thereby rendering excellent electrocatalytic *** researches may use this study as a guide on the construction of highly effective core-shell electrocatalysts for various energy conversions and other applications.