), where gradient estimators are obtained by means of the response surface methodology (RSM). Moreover, improvements of the RSM …

for solving (1), where gradient estimators are obtained by means of the response surface methodology (RSM). Moreover …, improvements of the RSM-gradient estimator by using “intermediate” or “intervening” variables are examined. Copyright Physica …

carried out using RSM (response surface method). The important parameters to be optimized in the MEA production are … are 80–130 °C, 10–100 kg cm−2, and 1–5 min, respectively. In the RSM, the objective function to be maximized is power …

Response Surface Method (RSM) can solve this time problem by shifting computational effort for simulation from within a design … process to a prior time. However, traditional metamodelling by RSM with second-order polynomials performs well only for ….2% for the total energy consumption, whereas the standard static RSM leads to an error of 35.9% (26.8% with interactions …

Scanning tunneling microscopy is used to study intercalation of cobalt underneath a graphene layer on Ru(0001 …). Deposition of cobalt on graphene/Ru(0001) at 873 K leads to the intercalation of cobalt between the graphene layer and the Ru …(0001) substrate, and the intercalation is associated with Co diffusion at steps and defects. The morphology of graphene …

We used scanning tunneling microscopy to investigate graphene formation on an SiC-on-insulator (SiC-OI) substrate …. Annealing of an SiC-OI substrate with an SiC thickness of 1500 nm produced a graphene layer on the SiC surface. When the … thickness of the SiC film was 5 nm, a graphene layer was not formed on the SiC surface. However, after annealing a C-covered SiC …