Wetting and reaction between Si droplet and SiO<Subscript>2</Subscript> substrate

The wetting and reaction between Si melt and SiO₂ substrate were investigated as a function of the atmosphere, temperature, and degree of vacuum. The results revealed that below 2 Torr with an Ar flow, the wetting angle is finally 90°. The Si droplet was stationary at a wetting angle of 90°. Videos indicated that the droplets moved and vibrated; Above 20 Torr, the Si droplet vibrated up and down with a frequency of approximately 2 Hz, thereby changing the wetting angle. Further, the droplet remained stationary on a substrate on which grooves with a width of 100 μm and depth of 100 μm were etched with a pitch of 1 mm. The presence of grooves or dimples on the substrates facilitated the leakage of SiO gas; as a result, the Si droplet did not vibrate. A vibration model was proposed in which the SiO gas produced at the interface between the Si droplet and the substrate according to the reaction Si + SiO = 2SiO expands and leaks continuously.     

Experimental Study and Finite Element Polycrystal Model Simulation of the Cold Rolling Textures in a Powder Metallurgy Processed Pure Aluminum Plate

Ingot metallurgy (IM) aluminum has long been the subject and attracted the attention of many metallurgists and textural researchers of materials. Due to the introduction of large amounts of ex situ interfaces, however, the textures in powder metallurgy (PM) processed aluminum has been rarely reported. In this article, a pure aluminum plate was prepared via PM route. The starting billet was first produced with uni-axially cold compaction and flat hot-extrusion and then followed by cold rolling processes. The hot-extruded and cold rolling deformation textures of the pure PM aluminum at 50%, 80% and 90% cold rolling reductions were studied by orientation distribution functions (ODFs) analysis. The finite element polycrystal model (FEPM) was finally utilized to simulate the cold rolling textural     

Evaluation of soft error rates using nuclear probes in bulk and SOI SRAMs with a technology node of 90 nm

The difference of soft error rates (SERs) in conventional bulk Si and silicon-on-insulator (SOI) static random access memories (SRAMs) with a technology node of 90 nm has been investigated by helium ion probes with energies ranging from 0.8 to 6.0 MeV and a dose of 75 ions/μm². The SERs in the SOI SRAM were also investigated by oxygen ion probes with energies ranging from 9.0 to 18.0 MeV and doses of 0.14–0.76 ions/μm². The soft error in the bulk and SOI SRAMs occurred by helium ion irradiation with energies at and above 1.95 and 2.10 MeV, respectively. The SER in the bulk SRAM saturated with ion energies at and above 2.5 MeV. The SER in the SOI SRAM became the highest by helium ion irradiation at 2.5 MeV and drastically decreased with increasing the ion energies above 2.5 MeV, in which helium ions at this energy range generated the maximum amount of excess charge carriers in a SOI body. The soft errors occurred by helium ions were induced by a floating body effect due to generated excess charge carriers in the channel regions. The soft error occurred by oxygen ion irradiation with energies at and above 10.5 MeV in the SOI SRAM. The SER in the SOI SRAM gradually increased with energies from 10.5 to 13.5 MeV and saturated at 18 MeV, in which the amount of charge carriers induced by oxygen ions in this energy range gradually increased. The computer calculation indicated that the oxygen ions with energies above 13.0 MeV generated more excess charge carriers than the critical charge of the 90 nm node SOI SRAM with the designed over-layer thickness. The soft errors, occurred by oxygen ions with energies at and below 12.5 MeV, were induced by a floating body effect due to the generated excess charge carriers in the channel regions and those with energies at and above 13.0 MeV were induced by both the floating body effect and generated excess carriers. The difference of the threshold energy of the oxygen ions between the experiment and the computer calculation might be due to the difference between the designed and real structures.     

Elucidation of mosaic patterns in gravel riverbeds using classifying flow velocity regimes obtained from a planar two-dimensional analysis

Gravel riverbeds in the middle reaches of Japanese rivers are essential habitats for various plants and animals. Disturbance from flooding is necessary for the formation of gravel riverbeds, but human control of rivers, such as dams and channelization, has altered flow and sediment regimes, thereby reducing disturbance. The flooding generates a mosaic pattern characterized by varying frequencies and intensities of disturbance in gravel riverbeds. Understanding the disturbance regimes that form mosaic patterns is important for the conservation of biodiversity in rivers. In this study, we proposed a method to extract mosaic patterns from flow velocity regimes obtained by planar two-dimensional analysis by classifying them with time-series clustering. Based on the distribution of Anaphalis margaritacea var. yedoensis on gravel riverbanks, we compared several past flooding events to identify mosaic patterns that are important for A. margaritacea var. yedoensis. The study site is the Echi River, which flows through Shiga Prefecture in Japan and into Lake Biwa. Using a unmanned aerial vehicle (UAV), orthomosaic images with an average ground resolution of 3.3 mm/pixel were created, and colony polygons of A. margaritacea var. yedoensis were created using image detection and visual correction. Hydraulic analysis was performed using iRIC ver2.3 (Nays2DH ver1.0). Time-series clustering was used to classify the flow velocity regimes for each computed mesh into 30 clusters. The relationship between the clusters of each flooding event and the distribution of A. margaritacea var. yedoensis was evaluated. Mosaic patterns were created by classifying the flow velocity regimes of each computational mesh calculated by planar 2D analysis into clusters using time-series clustering. After analyzing the relationship between each cluster and the area of distribution of A. margaritacea var. yedoensis, the first flooding event was determined to be the mosaic pattern that best explained the distribution of A. margaritacea var. yedoensis. Cluster 1, the “low peak, short duration type,” was considered the growth center of A. margaritacea var. yedoensis. The method used in this study is an innovative approach for obtaining mosaic patterns that quantifies these five elements of the disturbance regime.     

Host-Guest Complexation Strategy for Passivating Pb-Dimer Related Defects in Perovskite Photovoltaics

Although there is extensive attention to the eminent perovskite solar cells, the deep-level defects such as Pb-Pb dimers in the solution-processed polycrystalline perovskites inevitably result in photovoltaic output losses and subsequent degradation. Recently, it is reported that an electron-donating group can passivate Pb dimer defects efficiently. However, the mechanism for the causation of metallic lead (Pb⁰) from the iodide vacancy (V_I) is unclear. Herein, a chain reaction mechanism is proposed for the possible transformation process from V_I to Pb⁰ with the Pb dimer intermediates. In this regard, a host-guest strategy is adopted by using 4-tert-Butyl-1-(ethoxycarbonyl- methoxy) thiacalix[4]arene (tBuTCA) to complex with the cations and out-of-cage (Lead(II) iodide) PbI₂. Moreover, a host-guest complexation can be formed due to the Pb²⁺-π interactions. Continuously, the negative charge compensation for iodine vacancy can hinder the formation of Pb-Pb dimer, thus significantly suppressing non-radiative recombination. Consequently, the resulting solar cells show more than 24% power conversion efficiencies and maintain over 96% of their initial performance without encapsulation for 486 h under an ambient environment. This work highlights the significance of supramolecular engineering in constructing a high-quality perovskite for efficient and stable perovskite solar cells.     

Isolation and Some Properties of Amylase from Streptomyces hygroscopicus SF-1084

After screening about three thousands of Streptomyces strains from soils, a strain of Streptomyces hygroscopicus SF-1084, which gave the highest amylase production was isolated and some properties of the amylase were studied. Amylase production media were examined and a medium which consisted of glucose 2%, corn starch 5.5%, corn meal 1%, wheat germ 0.5%, soy bean meal 1.4%, KH₂PO₄ 0.2% adjusted to pH 7.0 was used to produce the amylase. Amylase production by 30 l jar fermenter was reached at 1500 u/ml in 110 h culture. The amylase was purified from broth filtrate by the method of ammonium sulfate precipitation, DEAE-sephadex A-50 column chromatography and Sephadex G-150 gelfiltration to get single band on a polyacrylamide disc gel electrophoresis. It is shown that the SF-1084 amylase produced 88% maltose from amylose and 80% maltose from amylopectin in 48 h saccharification. From the pattern of blue value and reducing value, the amylase is supposed to have endogenous action on starch and the activity is not inhibited by PCNB (pentachloronitrobenzene); the SF-1084 amylase does not belong to β-amylase. The optimum pH of the amylase was 5 to 6 and the optimum temperature was 50 to 55 °C. The amylase was fairly thermostable and the residual activity after incubation at 90 °C for 15 min and 100 °C for 15 min were revealed more than 50% and 30% respectively.