Preprogrammed Dynamic Microstructured Polymer Interfaces

The advancement of new‐generation complex integrated responsive systems depends on the progress in the development of functional stimuli‐responsive polymer components that could be put together and engineered to perform in concert as an ensemble. This progress report highlights recent substantial progress in the development of such soft‐matter components capable of changes according to preprogrammed scenarios. The components interact via interfaces that play a key role in the performance of the microstructured materials. The list of the most important properties that can be changed by altering the interfaces upon external stimuli includes gating, transport, release, wetting, adhesion, and self‐regeneration (healing) realized in different architectures of soft stimuli‐responsive materials.     

Pyroelectric effect of SbSe0.50S0.50I in an applied electric field.

The pyroelectric coefficient of SbSe_0.50S_0.50I is investigated as a function of temperature in a range near the critical temperature of the ferroparaelectric phase transition. The electric polarization is deduced from the pyroelectric current. The pyroelectric coefficient shows a very strong dependence on the applied dc electric field. The results are discussed in terms of a diffuse transition.     

Certain problems related to the aerodynamics of the gravity flow of a finely dispersed free-flowing material

We present the results from theoretical and experimental investigations into the determination of the velocities of vertically incident particles for Re < 2000 and for the volumes of air ejected by a stream of a free-flowing material being transferred through closed troughs.Translated from Inzhenerno-Fizicheskii Zhurnal, Vol. 16, No. 6, pp. 1045–1051, June, 1969.     

Parallel supervised land-cover classification system for hyperspectral and multispectral images

Hyperspectral and multispectral imagery allows remote-sensing applications such as the land-cover mapping, which is a significant baseline to understand and to monitor the Earth. Furthermore, it is a relevant process for socio-economic activities. For that reason, high land-classification accuracies are imperative, and minor image processing time is essential. In addition, the process of gathering classes’ documented samples is complicated. This implies that the classification system is required to perform with a limited number of training observations. Another point worth mentioning is that there are hardly any methods that can be used analogously for hyperspectral or multispectral images. This paper aims to propose a novel classification system that can be used for both types of images. The designed classification system is composed of a novel parallel feature extraction algorithm, which utilises a cluster of two graphics processing units in combination with a multicore central processing unit (CPU), and an artificial neural network (ANN) particularly devised for the classification of the features ensued by the implemented feature extraction method. To prove the performance of the proposed classification system, it is compared with non-parallel and CPU-only-parallel implementations employing multispectral and hyperspectral databases. Moreover, experiments with different number of samples for training the classifier are performed. Finally, the proposed ANN is compared with a state-of-the-art support vector machine in classification and processing time results.     

Multiparameter Characterization of Aerosols

The performance of particle‐based products depends on a multiple set of particle properties. To monitor them during particle manufacturing, three novel aerosol measurement techniques were developed: wide‐angle light scattering (WALS), three‐dimensional laser scattering (3D‐LSS), and differential aerodynamic particle sizing (DAPS). They measure particle shape, aggregate structure, and particle size, i.e., radius of gyration and aerodynamic diameter. The techniques were tested for rod‐like organic pigments and partially sintered SiO₂ aggregates, which were produced by two new aerosol generators.     

Porous Au–Ag Nanoparticles from Galvanic Replacement Applied as Single-Particle SERS Probe for Quantitative Monitoring

Plasmonic nanostructures have raised the interest of biomedical applications of surface-enhanced Raman scattering (SERS). To improve the enhancement and produce sensitive SERS probes, porous Au–Ag alloy nanoparticles (NPs) are synthesized by dealloying Au–Ag alloy NP-precursors with Au or Ag core in aqueous colloidal environment through galvanic replacement reaction. The novel designed core–shell Au–Ag alloy NP-precursors facilitate controllable synthesis of porous nanostructure, and dealloying degree during the reaction has significant effect on structural and spectral properties of dealloyed porous NPs. Narrow-dispersed dealloyed NPs are obtained using NPs of Au/Ag ratio from 10/90 to 40/60 with Au and Ag core to produce solid core@porous shell and porous nanoshells, having rough surface, hollowness, and porosity around 30–60%. The clean nanostructure from colloidal synthesis exhibits a redshifted plasmon peak up to near-infrared region, and the large accessible surface induces highly localized surface plasmon resonance and generates robust SERS activity. Thus, the porous NPs produce intensely enhanced Raman signal up to 68-fold higher than 100 nm AuNP enhancement at single-particle level, and the estimated Raman enhancement around 7800, showing the potential for highly sensitive SERS probes. The single-particle SERS probes are effectively demonstrated in quantitative monitoring of anticancer drug Doxorubicin release.     

A novel approach to determine wet restitution coefficients through a unified correlation and energy analysis

Wet particle interactions are observed in many applications, for example, pharmaceutical, food, agricultural, polymerization, agglomeration, and coating, in which an accurate evaluation of the wet restitution coefficient (e_wet) is crucial to understand the particle flowability, operating conditions and product size distribution. Experiments were performed to measure the wet restitution coefficient by impacting a spherical particle on a stationary plate covered with a thin liquid layer of water or glycerol solution in this work. Furthermore, novel approaches for estimation of e_wet were developed using dimensional analysis (using the Buckingham π theorem and regression analysis) in combination with energy budget analysis. In the correlation development, the dominant physical properties of solid and liquid, particle impact velocity and liquid layer thickness are grouped into well‐known dimensionless numbers viz. Reynolds, Weber and Stokes. Whereas in the energy analysis, the energy dissipation rates were determined for five distinct collision phases, that is, dipping, dry collision, undipping, formation and breakage of the liquid bridge, and added mass. The efficacy of the developed approaches was analyzed by comparing obtained results with experiments and an elastohydrodynamic model, and a modified elastohydrodynamic model. © 2014 American Institute of Chemical Engineers AIChE J, 61: 769–779, 2015     

Structure-mechanical properties correlation in bulk LiPON glass produced by nitridation of metaphosphate melts

The glassy solid electrolyte Lithium phosphorous oxynitride (LiPON) has been widely researched in thin film solid state battery format due to its outstanding stability when cycled against lithium. In addition, recent reports show thin film LiPON having interesting mechanical behaviors, especially its ability to resist micro-scale cracking via densification and shear flow. In the present study, we have produced bulk LiPON glasses with varying nitrogen contents by ammonolysis of LiPO₃ melts. The resulting compositions were determined to be LiPO_3-3z/2N_z, where 0 ≤ z ≤ 0.75, and the z value of 0.75 is among the highest ever reported for this series of LiPON glasses. The short-range order structures of the different resulting compositions were characterized by infrared, Raman, ³¹P magic angle spinning nuclear magnetic resonance, and X-ray photoelectron spectroscopies. Instrumented nano-indentation was used to measure mechanical properties. It was observed that similar to previous studies, both trigonally coordinated (N_t) and doubly bonded (N_d) N co-exist in the glasses in about the same amounts for z ≤ 0.36, the limit of N content in most previous studies. For glasses with z > 0.36, it was found that the fraction of the N_t increased significantly while the fraction of N_d correspondingly decreased. The incorporation of nitrogen increased both the elastic modulus and hardness of the glass by approximately a factor of 1.5 when N/P ratio reaches 0.75. At the same time, an apparent embrittlement of the glass was observed due to nitridation, which was revealed by nanoindentation with an extra sharp nanoindenter tip.     

Native fluorescence changes induced by bactericidal agents

Steady-state and time-resolved fluorescence spectroscopy were measured for five species of bacteria (Bacillus subtilis, Staphylococcusaureus, Enterococcus faecalis, Escherichia coli, and Pseudomonas aeruginosa) subjected to three bactericidal agents, formaldehyde, sodium hypochlorite (bleach), and hydrogen peroxide. For all species, the fluorescence was dominated by tryptophan emission with a fluorescence lifetime that can be described by a bi-exponential decay profile. Application of bleach resulted in an almost total loss of scattering and fluorescence, which indicated that total destruction of proteins and amino acids may have occurred. Hydrogen peroxide decreased the fluorescence intensity and shifted /spl lambda//sub max/ to shorter wavelengths, except in S. aureus, which is resistant to oxidizing agents. The formaldehyde shifted /spl lambda//sub max/ to shorter wavelengths for B. subtilis, S. aureus, E. faecalis, and E. coli. The formaldehyde shortened the lifetime of the slow component and increased the amplitude of the fast component relative to the slow component. This study demonstrates that fluorescence spectroscopy offers a method to evaluate the potential for killing bacteria and decontaminating areas by disinfecting agents.     

Electrolyte stability determines scaling limits for solid-state 3D Li ion batteries

Rechargeable, all-solid-state Li ion batteries (LIBs) with high specific capacity and small footprint are highly desirable to power an emerging class of miniature, autonomous microsystems that operate without a hardwire for power or communications. A variety of three-dimensional (3D) LIB architectures that maximize areal energy density has been proposed to address this need. The success of all of these designs depends on an ultrathin, conformal electrolyte layer to electrically isolate the anode and cathode while allowing Li ions to pass through. However, we find that a substantial reduction in the electrolyte thickness, into the nanometer regime, can lead to rapid self-discharge of the battery even when the electrolyte layer is conformal and pinhole free. We demonstrate this by fabricating individual, solid-state nanowire core-multishell LIBs (NWLIBs) and cycling these inside a transmission electron microscope. For nanobatteries with the thinnest electrolyte, ≈110 nm, we observe rapid self-discharge, along with void formation at the electrode/electrolyte interface, indicating electrical and chemical breakdown. With electrolyte thickness increased to 180 nm, the self-discharge rate is reduced substantially, and the NWLIBs maintain a potential above 2 V for over 2 h. Analysis of the nanobatteries' electrical characteristics reveals space-charge limited electronic conduction, which effectively shorts the anode and cathode electrodes directly through the electrolyte. Our study illustrates that, at these nanoscale dimensions, the increased electric field can lead to large electronic current in the electrolyte, effectively shorting the battery. The scaling of this phenomenon provides useful guidelines for the future design of 3D LIBs.