Ultrahigh-mobility semiconducting epitaxial graphene on silicon carbide.

Semiconducting graphene plays an important part in graphene nanoelectronics because of the lack of an intrinsic bandgap in graphene1. In the past two decades, attempts to modify the bandgap either by quantum confinement or by chemical functionalization failed to produce viable semiconducting graphene. Here we demonstrate that semiconducting epigraphene (SEG) on single-crystal silicon carbide substrates has a band gap of 0.6 eV and room temperature mobilities exceeding 5,000 cm2 V-1 s-1, which is 10 times larger than that of silicon and 20 times larger than that of the other two-dimensional semiconductors. It is well known that when silicon evaporates from silicon carbide crystal surfaces, the carbon-rich surface crystallizes to produce graphene multilayers2. The first graphitic layer to form on the silicon-terminated face of SiC is an insulating epigraphene layer that is partially covalently bonded to the SiC surface3. Spectroscopic measurements of this buffer layer4 demonstrated semiconducting signatures4, but the mobilities of this layer were limited because of disorder5. Here we demonstrate a quasi-equilibrium annealing method that produces SEG (that is, a well-ordered buffer layer) on macroscopic atomically flat terraces. The SEG lattice is aligned with the SiC substrate. It is chemically, mechanically and thermally robust and can be patterned and seamlessly connected to semimetallic epigraphene using conventional semiconductor fabrication techniques. These essential properties make SEG suitable for nanoelectronics.

Path Planning of Mobile Robots Based on a Multi-Population Migration Genetic Algorithm.

In the field of robot path planning, aiming at the problems of the standard genetic algorithm, such as premature maturity, low convergence path quality, poor population diversity, and difficulty in breaking the local optimal solution, this paper proposes a multi-population migration genetic algorithm. The multi-population migration genetic algorithm randomly divides a large population into several small with an identical population number. The migration mechanism among the populations is used to replace the screening mechanism of the selection operator. Operations such as the crossover operator and the mutation operator also are improved. Simulation results show that the multi-population migration genetic algorithm (MPMGA) is not only suitable for simulation maps of various scales and various obstacle distributions, but also has superior performance and effectively solves the problems of the standard genetic algorithm.

Investigation of the temperature gradient control in the printing space for the material extrusion of medical biodegradable hydrogel.

Material extrusion has shown promise in the fabrication of biocompatible scaffolds for tissue engineering using medical biodegradable hydrogel materials. However, the uncontrollable shape of prepared 3D architecture decelerates the development of large-size complex hydrogel models for the fabrication of human-scale tissue or organs. A primary cause of the collapse as well as shrinkage of prepared architectures is the uncontrollable ambient temperature distribution during the extruding process for hydrogel materials. Therefore, there is a need to accurately control the temperature gradient in the printing space during the material extrusion. The study proposed a novel temperature-controlled substrate configuration with a multilayered enclosure, by which the temperature gradient in the printing space can be regulated by varying the height as well as the internal diameter of the enclosure. Subsequently, a finite element simulation model, as well as a self-developed temperature measuring device, was established to numerically and experimentally investigate the temperature distribution in the printing space. Furthermore, printing trials were implemented on the novel substrate. The collapse of 3D architectures was successfully avoided, and the height of scaffolds was improved obviously from 2.21 mm to 13.24 mm.

Quaternization-spiro design of chlorine-resistant and high-permeance lithium separation membranes.

Current polyamide lithium extraction nanofiltration membranes are susceptible to chlorine degradation and/or low permeance, two problems that are hard to reconcile. Here we simultaneously circumvented these problems by designing a quaternized-spiro piperazine monomer and translating its beneficial properties into large-area membranes (1 × 2 m2) via interfacial polymerization with trimesoyl chloride. The quaternary ammonium and spiral conformation of the monomer confer more positive charge and free volume to the membrane, leading to one of the highest permeance (~22 L m-2 h-1 bar-1) compared to the state-of-the-art Mg2+/Li+ nanofiltration membranes. Meanwhile, membrane structures are chlorine resistant as the amine-acyl bonding contains no sensitive N-H group. Thus the high performance of membrane is stable versus 400-h immersion in sodium hypochlorite, while control membranes degraded readily. Molecular simulations show that the high permeance and chlorine resistance, which were reproducible at the membrane module level, arise from the spiral conformation and secondary amine structures of the monomer.

Computational investigation of a 3D-printed skin substitute with orthotropy in mechanical property.

As a promising treatment for third-degree burns, grafting with bioengineering skin substitutes shows a capability to overcome the deficiency of donor skin. Similar mechanical properties with human skin are required for employed skin substitutes to avoid secondary damage to patients. Given the representativeness of orthotropy in mechanical properties, there is a need for developing orthotropic skin substitutes. This paper presents computational investigation as well as structural design for the fabrication of orthotropic skin substitutes. A finite element method (FEM) based mechanics simulation model for analyzing the stress field in the skin substitute was developed, by which the stress distribution in mimetic structures of the epidermis and dermis can be acquired. Moreover, the equation of Young's modulus was deduced based on the simulation result, which expressed the mechanical property of designed skin substitutes. Furthermore, several structures of skin substitutes were proposed and their calculated Young's modulus ranged from 21.87 kPa to 213.32 kPa, which was similar to the human skin. Ultimately, uniaxial tensile tests were performed for three types of 3D-printed orthotropic skin substitutes, which validates the feasibility to regulate Young's modulus by regulating the structure of fabricated skin substitutes.

A Process Parameter Design Method for Improving the Filament Diameter Accuracy of Extrusion 3D Printing.

Process parameters have a significant impact on the filament diameter of extrusion 3D printing. To precisely control filament diameter, this paper proposes a novel method based on experiments to guide process parameter design. Additionally, an extrusion 3D printing device was developed, by which the influence of crucial process parameters and rheological properties on the diameter of printed filaments could be investigated experimentally and theoretically. Furthermore, poly (l-lactide-co-ε-caprolactone) (PLCL) was used as a case study to detail the design procedure of the proposed method. The printable range of the process parameters for PLCL was acquired, and a fitting surface for the experimental data was calculated to guide the process parameter design. According to the results of the experiment, by adjusting the process parameters, PLCL filaments with five different diameters of 120, 130, 140, 150, and 160 µm can be fabricated with a 100 µm nozzle. The deviations between the actual filament diameters and the desired diameter are less than 5 µm, which validates the reliability of the proposed method.

An Analysis of Super-Net Heuristics in Weight-Sharing NAS.

Weight sharing promises to make neural architecture search (NAS) tractable even on commodity hardware. Existing methods in this space rely on a diverse set of heuristics to design and train the shared-weight backbone network, a.k.a. the super-net. Since heuristics substantially vary across different methods and have not been carefully studied, it is unclear to which extent they impact super-net training and hence the weight-sharing NAS algorithms. In this paper, we disentangle super-net training from the search algorithm, isolate 14 frequently-used training heuristics, and evaluate them over three benchmark search spaces. Our analysis uncovers that several commonly-used heuristics negatively impact the correlation between super-net and stand-alone performance, whereas simple, but often overlooked factors, such as proper hyper-parameter settings, are key to achieve strong performance. Equipped with this knowledge, we show that simple random search achieves competitive performance to complex state-of-the-art NAS algorithms when the super-net is properly trained.

Investigation on the Temperature Control Accuracy of a Print Head for Extrusion 3D Printing and Its Improved Design.

For the extrusion 3D printing process, the printing temperature has a significant impact on the filament formation process because the rheological properties of the printed materials are extremely thermal sensitive, which requires a high temperature control accuracy of the print head. This paper presents a numerical and experimental investigation on the temperature field of a homemade print head. A finite element simulation model for analyzing the temperature field of the print head was established, by which the temperature distribution inside the print head can be acquired. Moreover, to improve the temperature control accuracy, an improved configuration was proposed, and two schemes were compared. The temperature control error dropped from 28% to 6.2% with the improved print head, which was verified experimentally. Furthermore, printing trials were conducted by the optimized print head. The filament diameter could be regulated by changing the temperature of the print head, which validates the feasibility to control the filament diameter during the extrusion process via temperature regulation.

Investigation on the Temperature Distribution Uniformity of an Extrusion-Based 3D Print Head and Its Temperature Control Strategy.

Extrusion-based 3D printing for thermoplastic polymers manifests potential for the fabrication of biocompatible and biodegradable scaffolds. However, the uncontrollable shape of printed filaments usually negatively impacts on the printing processes. Non-uniform temperature in the print head is a primary cause of inaccuracy in the diameter of filaments formed during the process of extruding thermoplastic polymers. Therefore, the temperature distribution inside the print head must be controlled accurately. This study developed a novel print head configuration with two groups of controllable heat sources for extrusion-based printing of thermoplastic polymers. Subsequently, a numerical thermal analysis based on the finite element method (FEM) was conducted to investigate the temperature field in the print head during the heating process. Moreover, a temperature control strategy is proposed under which the temperature distribution of the print head can be regulated. The temperature uniformity can be improved with the proposed temperature control strategy. Lastly, groups of printing trials were implemented, and the printed filaments showed excellent uniformity of diameter when temperature distribution uniformity was controlled in the print head.

Metallaphotoredox-Enabled Construction of the P(O)-N Bond from Aromatic Amines and P(O)-H Compounds.

We have developed a dual copper/photoredox-catalyzed approach for the construction of the P(O)-N bond from commercially available aromatic amines and P(O)-H compounds. This metallaphotoredox method avoids toxic or corrosive reagents and does not require prefunctionalized substrates. The reaction has a broad substrate scope and is suitable for the synthesis of phosphonamides and phosphinamides, thus complementing the previous nonphotochemical approaches. The reaction is amenable to the direct modification of drug molecules and can be conducted on a gram scale.

Phylogenetic analysis of bacterial community composition in sediments with organic contaminants from the Jiaojiang estuary in China.

The aim of this study was to investigate the bacterial community composition, the concentration of organic contaminants, and their relationship in the sediments of Jiaojiang estuary. Sediments were collected from seven stations and the environmental parameters were analyzed. The results showed that the site closest to the chemical industry zone was the most polluted. Bacterial communities were determined using 16S rRNA clone libraries and phylogenetic analysis. These results revealed that there were 13 known bacterial phyla in the sediments and that Proteobacteria were the dominant group. Using these data, we assessed the correlation between bacterial communities and organic contaminants using cluster, multidimensional scaling, and redundancy analyses. These showed that there was no simple relationship between organic contaminants and bacterial community diversity in the sediments, but polycyclic aromatic hydrocarbons were more influential than the other pollutants and negatively affected Chloroflexi.