An unusual zero-dimensional quaternary sulfide, Ba(23)Ga(8)Sb(2)S(38), that crystallizes in the noncentrosymmetric polar space group Cmc2(1) was discovered by solid-state reaction of an elemental mixture. The involvement a second building unit consisting SbS(3) pyramid and constituting 20% structure helped to realize disconnection asymmetric GaS(4) tetrahedra. Such leads strongest powder harmonic generation intensity IR region among sulfides date, ~22 times commercial AgGaS(2) at incident...

This study presents an innovative approach to design room temperature phosphorescent (RTP) carbon dot composites with ultralong afterglow lifetimes in both solid and liquid states. The proposed composites, namely, L-NCDs-BA (solid) L-NCDs-SiO2 (liquid), were synthesized through a straightforward hydrothermal method. composite achieved lifetime of 1.63 s, while the demonstrated notable 1.30 s. These values surpass most reported nonmetallic RTP materials date. Morphological structural analyses...

This paper presents the design and implementation of a novel matrix-friendly genetic algorithm (MGA) based population input memristor circuit. Selection, crossover mutation operations can be efficiently implemented in MGA by utilizing unique properties memristors. The proposed circuit performs well solving binary nonconvex function optimization problems. Through extensive simulations comparisons with classical algorithms, our method improves about 4.24% on average exploring optimal fitness...

In recent years,the modeling and application of biological neurons have gained more attention.By now, the research on neuron models has become one most important branches neuroscience.Neuron can be used in various areas,such as biomimetic applications,memory design,logical computing,and signal processing. Furthermore,it is significant to study dynamic characteristics neural system by using models.In this paper,the historical development reviewed.The experienced three stages.In pioneering...

Abstract Multi‐resonant thermally activated delayed fluorescent (MR‐TADF) materials, which combine large oscillator strengths, small singlet‐triplet energy gaps, high photoluminescence quantum yields, and color purity, have attracted great interest in both experimental theoretical research recent years. However, the differences between two classes of MR‐TADF, utilizing carbonyl groups boron atoms as acceptors respectively, not been clearly delineated, implementation strategies combining is...

The synthesis and development of novel materials for soft electronics, health monitoring, etc., have become a research hotspot. Traditional laboratory is significantly time-and-resource-consuming. Machine learning therefore becomes an ideal approach expediting experimental process, constructing virtual automated closed-loop material evaluation approach. In this work, we combined piezoelectric materials’ with machine to achieve automatic design optimization. 300 samples different recipes were...

Since its discovery, memristor has been well studied by researchers from all around the world, and application in recognition proves to be very promising. In this paper, we modify a crossbar circuit an existing work recognize 8 × pixel binary images. We use analog memristors instead of complete circuit. The simulated rate is 82.5% average, step further carrying out Monte Carlo simulation analyze performances under different memristance variations statistical distributions. find that as...

In this paper, we designed a memristive spiking neural network (MSNN) to perform fully functional Pavlov experiment. A memristor with forgetting effect is adopted implement synapses while Izhikevich neurons are used for generating tonic and bursting signals. An asymmetric linear time dependent plasticity (STDP) naturally formed by taking into account the activation difference between pre-synaptic neurons. Our design realizes associative, correcting, processes without learning rule control...

Memristor is a natural synapse because of its nanoscale and memory property, which influences the performance memristive artificial neural networks. A three-variable memristor model simplified with 15 kinds properties, including learning experience, forgetting curve, spiking time-dependent plasticity (STDP), rate dependent (SRDP), integration property. Through analysis model, one more unobserved property called pseudo-polarity reversibility predicted by assuming long-term independent memductance.

The Deep Web is becoming a very important information resource. Unlike the traditional retrieval, contents on are only accessible through source query interfaces. However, for any domain of interest, there may be so many interfaces that users need to access them in order get desired information, which time-consuming and requires build an integrated interface over sources. first task towards this goal schema extraction interface. In paper, we will present novel pre-clustering algorithm with...

The state-dependent impulsive dynamical system with boundary constraints is a kind of special but common in nature. But because the complexity geometry or topological structures surface, it hard to determine when an event surface reached. Therefore, general nonlinear rarely studied. This paper presents class systems constraints. We obtain existence and continuation their viable solutions provide sufficient conditions for uniqueness system. Finally, two examples are given illustrate...