다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

Oil spills and industrial organic pollutants have induced severe water pollution and threatened every species in the ecological system. To deal with oily water, special wettability stimulated materials have been developed over the past decade to separate oil-and-water mixtures. Basically, synergy between the surface chemical composition and surface topography are commonly known as the key factors to realize the opposite wettability to oils and water and dominate the selective wetting or absorption of oils/water. In this review, we mainly focus on the development of materials with either super-lyophobicity or super-lyophilicity properties in oil/water separation applications where they can be classified into four kinds as follows (in terms of the surface wettability of water and oils): (i) superhydrophobic and superoleophilic materials, (ii) superhydrophilic and under water superoleophobic materials, (iii) superhydrophilic and superoleophobic materials, and (iv) smart oil/water separation materials with switchable wettability. These materials have already been applied to the separation of oil-and-water mixtures: from simple oil/water layered mixtures to oil/water emulsions (including oil-in-water emulsions and water-in-oil emulsions), and from non-intelligent materials to intelligent materials. Moreover, they also exhibit high absorption capacity or separation efficiency and selectivity, simple and fast separation/absorption ability, excellent recyclability, economical efficiency and outstanding durability under harsh conditions. Then, related theories are proposed to understand the physical mechanisms that occur during the oil/water separation process. Finally, some challenges and promising breakthroughs in this field are also discussed. It is expected that special wettability stimulated oil/water separation materials can achieve industrial scale production and be put into use for oil spills and industrial oily wastewater treatment in the near future.

Biomimetic super-lyophobic and super-lyophilic materials applied for oil/water separation: a new strategy beyond nature

Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path for implementing massively-parallel and highly energy-efficient neuromorphic computing systems. We first revie...

https://www.tandfonline.com/doi/pdf/10.1080/23746149.2016.1259585

Neuromorphic computing using non-volatile memory

http://csmres.co.uk/cs.public.upd/article-downloads/pumera.pdf

Graphene in biosensing

In human fingertips, the fingerprint patterns and interlocked epidermal-dermal microridges play a critical role in amplifying and transferring tactile signals to various mechanoreceptors, enabling spatiotemporal perception of various static and dynamic tactile signals. Inspired by the structure and functions of the human fingertip, we fabricated fingerprint-like patterns and interlocked microstructures in ferroelectric films, which can enhance the piezoelectric, pyroelectric, and piezoresistive sensing of static and dynamic mechanothermal signals. Our flexible and microstructured ferroelectric skins can detect and discriminate between multiple spatiotemporal tactile stimuli including static and dynamic pressure, vibration, and temperature with high sensitivities. As proof-of-concept demonstration, the sensors have been used for the simultaneous monitoring of pulse pressure and temperature of artery vessels, precise detection of acoustic sounds, and discrimination of various surface textures. Our microstructured ferroelectric skins may find applications in robotic skins, wearable sensors, and medical diagnostic devices.

Fingertip skin-inspired microstructured ferroelectric skins discriminate static/dynamic pressure and temperature stimuli.

We present a sugar-templated polydimethylsiloxane (PDMS) sponge for the selective absorption of oil from water. The process for fabricating the PDMS sponge does not require any intricate synthesis processes or equipment and it is not environmentally hazardous, thus promoting potential in environmental applications. The proposed PDMS sponge can be elastically deformed into any shape, and it can be compressed repeatedly in air or liquids without collapsing. Therefore, absorbed oils and organic solvents can be readily removed and reused by simply squeezing the PDMS sponge, enabling excellent recyclability. Furthermore, through appropriately combining various sugar particles, the absorption capacity of the PDMS sponge is favorably optimized.

/pdf/a-polydimethylsiloxane-pdms-sponge-for-the-selective-3kyq02xnl6.pdf

A polydimethylsiloxane (PDMS) sponge for the selective absorption of oil from water.

We experimentally investigate the sensitivity of threshold voltage (T) to the variation of silicon nanowire (SiNW) width (Wsi) in gate-all-around junctionless transistors by comparison with inversion-mode transistors with the same geometric parameters. Due to the nature of junctionless transistors with a heavily doped SiNW channel, the VT fluctuation caused by the Wsi variation of junctionless transistors is significantly larger than that of inversion-mode transistors with a nearly intrinsic channel. This is because, in junctionless transistors, the channel doping concentration cannot be reduced in order to keep their inherent advantages. Therefore, our findings indicate that careful optimization or methods to mitigate the VT fluctuation related to the Wsi variation should be considered in junctionless transistors.

Sensitivity of Threshold Voltage to Nanowire Width Variation in Junctionless Transistors

Recent electronic applications require an efficient computing system that can perform data processing with limited energy consumption. Inspired by the massive parallelism of the human brain, a neuromorphic system (hardware neural network) may provide an efficient computing unit to perform such tasks as classification and recognition. However, the implementation of synaptic devices (i.e., the essential building blocks for emulating the functions of biological synapses) remains challenging due to their uncontrollable weight update protocol and corresponding uncertain effects on the operation of the system, which can lead to a bottleneck in the continuous design and optimization. Here, we demonstrate a synaptic transistor based on highly purified, preseparated 99% semiconducting carbon nanotubes, which can provide adjustable weight update linearity and variation margin. The pattern recognition efficacy is validated using a device-to-system level simulation framework. The enlarged margin rather than the linea...

Pattern Recognition Using Carbon Nanotube Synaptic Transistors with an Adjustable Weight Update Protocol

A silicon nanowire field effect transistor (FET) straddled by the double-gate was demonstrated for biosensor application. The separated double-gates, G1 (primary) and G2 (secondary), allow independent voltage control to modulate channel potential. Therefore, the detection sensitivity was enhanced by the use of G2. By applying weakly positive bias to G2, the sensing window was significantly broadened compared to the case of employing G1 only, which is nominally used in conventional nanowire FET-based biosensors. The charge effect arising from biomolecules was also analyzed. Double-gate nanowire FET can pave the way for an electrically working biosensor without a labeling process.

/pdf/double-gate-nanowire-field-effect-transistor-for-a-biosensor-3aauxenppy.pdf

Double-Gate Nanowire Field Effect Transistor for a Biosensor

A bulk current model is formulated for long-channel double-gate junctionless (DGJL) transistors. Using a depletion approximation, an analytical expression is derived from the Poisson equation to find channel potential, which expresses the dependence of depletion width under an applied gate voltage. The depletion width equation is further simplified by the unique characteristic of junctionless transistors, i.e., a high channel doping concentration. From the depletion width formula, the bulk current model is constructed using Ohm's law. In addition, an analytical expression for subthreshold current is derived. The proposed model is compared with simulation data, revealing good agreement. The simplicity of the model gives a fast and easy way to understand, analyze, and design DGJL transistors comprehensively.

/pdf/simple-analytical-bulk-current-model-for-long-channel-double-4wj7aq2wab.pdf

Sung-Jin Choi

Papers

A polydimethylsiloxane (PDMS) sponge for the selective absorption of oil from water.

Sensitivity of Threshold Voltage to Nanowire Width Variation in Junctionless Transistors

Pattern Recognition Using Carbon Nanotube Synaptic Transistors with an Adjustable Weight Update Protocol

Double-Gate Nanowire Field Effect Transistor for a Biosensor

Simple Analytical Bulk Current Model for Long-Channel Double-Gate Junctionless Transistors