bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of asymmetric electrodes on ferroelectricity of sub-10 nm HZO thin films
Authors: Chen Hsing-Yang , Jiang Yu-Sen , Chuang Chun-Ho , Mo Chi-Lin , Wang Ting-Yun , Lin Hsin-Chih , Chen Miin-Jang 
Published: November 2023

Abstract
In this study, platinum (Pt) and tungsten (W), two materials with dissimilar coefficients of thermal expansion (CTE) and work functions (WF), are used as the top electrode (TE) and the bottom electrode (BE) in metal/ferroelectric/metal (MFM) structures to explore the ferroelectricity of hafnium zirconium oxide (HZO) with a thickness less than 10 nm. The electrical measurements indicate that a higher CTE mismatch between HZO and TE/BE is beneficial for enhancing the ferroelectric properties of nanoscale HZO thin films. The different WFs of TE and BE generate a built-in electric field in the HZO layer, leading to shifts in the hysteresis loops and the capacitance–voltage characteristics. The structural characterizations reveal that the preferred formation of the orthorhombic phase in HZO is dominated by the W BE. The device in which W is used as the TE and BE (the W/HZO/W MFM structure) presents the optimal ferroelectric performance of a high remanent polarization (2P

r
= 55.2 μC cm−2). The presence of tungsten oxide (WO
x
) at the W/HZO interfaces, as revealed by high-resolution transmission microscopy, is also responsible for the enhancement of ferroelectric properties. This study demonstrates the significant effects of different CTEs and WFs of TE and BE on the properties of ferroelectric HZO thin films.
Feynman’s method in chiral nanorod-based metamaterial nanoplasmonics
Authors: Galiautdinov Andrei 
Published: November 2023

Abstract
We propose a theoretical approach to some of the nanorod-based metamaterial implementations that does not depend on macroscopic electrodynamics. The approach is motivated by the fact that in actual experiments the incident electromagnetic wave encounters a metamaterial structure which is planar in its shape, contains a layer or two of artificially created building blocks, and therefore cannot be regarded as a three-dimensional continuous medium. This leads to a theoretical framework in which the phenomenological concept of refractive index loses its principled meaning, and the deeper concept of scattering is taking center stage. Our proposal and its mathematical realization rely heavily on Feynman’s explanation of the physical origin of the index of refraction and on his formula for the field of a plane of oscillating charges. We provide a complete proof of Feynman’s formula, filling in some steps that were missing in the original derivation, and then generalize it to the case of a finite disk, which may be relevant to the actual experiments involving laser beams. We then show how the formula can be applied to metamaterial nanoplasmonics by considering some subtle interference effects in uniform laser beams striking metamaterial plates. The first two effects use a single layer of aligned plasmonic nanorods, while the third uses a single layer of gyrotropic elements that may conveniently be described by the celebrated Born-Kuhn oscillator model. The considered effects can potentially be used in the development of quality standards for various metamaterial devices.
Shape and quantum size effects on the electronic structure, oscillator strengths and state lifetimes of helium-like quantum dots
Authors: Doba P , Melingui Melono R L , Motapon O 
Published: November 2023

Abstract
Transition energies, electric static polarizability, oscillator strengths and state lifetimes of helium-like quantum dots are determined as a function of their shape and size. A configuration interaction approach based on B-spline functions is used. We found that, the oscillator strengths present an extremum around a low value of the dot radius whatever the shape of the confining potential. This extremum is due to the pressure on the energy levels in such a way that for a particular value of the dot radius, the second electron in the excited one-electron state reaches the borders of the confinement potential. The extremum position depends on the impurity charge and the oscillator strength value at this point changes with the potential well shape. As well, the increase of the effective mass involves the shift of the position of the oscillator strength extremum towards weak radius values. The first excited state lifetime globally increases with the dot radius and the reduction of the nuclear charge but presents a shoulder for a certain low value of the dot radius mostly marked for a triangular form of the confining potential.
DFT insight of methoxy diphenylamine-substituted carbazole derivatives as hole transport material for efficient perovskite and organic solar cell
Authors: Gul Shehla , Ans Muhammad , Iqbal Javed 
Published: November 2023

Abstract
A series of thiophene bridged donor molecules (Pph-M1 to Pph-M5) have been developed by adapting the end capped alteration strategy. Five different acceptor groups have been substituted using thiophene as a bridging group. The designed geometries have been optimized and various analysis have been performed using CAM-B3LYP 631-G (d, p) method. Optical and photovoltaic characteristics of all the developed molecules have been investigated by performing Frontier molecular orbital analysis that determines the charge transfer that occurs within the newly planned systems. Moreover, density of state (DOS) analysis was also computed. These analysis suggests the contribution of individual fragments of the devised chromophores in formation of HOMO and LUMO. The developed molecules have exhibited reduced band gap values from 3.28–4.02 eV while the reference molecule being with the higher band gap of 5.87 eV. Further, absorption analysis were performed and the spectra for all the investigated molecules have been obtained showing an increased λ
max values than the reference molecule (Pph-M). Dipole moment (μ), light harvesting energy (LHE), reorganization energy (RE) and open circuit voltage (Voc) of the studied molecules are also evaluated and the outcomes suggest that our designed molecules withhold outstanding electronic and opto-electronic properties and can be used as propitious donor material for application in future efficient organic solar cell.
Anisotropic power-law inflation for a generalized model of two scalar and two vector fields
Authors: Do Tuan Q , Kao W F 
Published: November 2023

Abstract
Cosmological implication of a generalized model of two scalar and two vector fields, in which both scalar fields are non-minimally coupled to each vector field, is studied in this paper. In particular, we will seek a set of new anisotropic power-law inflationary solutions to this model. Additionally, the stability of the obtained solutions will be examined by using the dynamical system approach. As a result, we will show that this set of solutions turns out to be stable and attractive during the inflationary phase as expected due to the existence of the unusual couplings between two scalar and two vector fields. Notably, we will point out that the existence of phantom field will lead to an instability of the corresponding anisotropic power-law inflation.
Analytical solution for unsteady Walters-B fluid flow by a deforming surface with acceleration using OHAM based package BVPh2.0
Authors: Malik Iqra Nasir , Mustafa M 
Published: November 2023

Abstract
Current study aims at simulating fluid flow due to a deformable heated surface in an otherwise static viscoelastic fluid obeying Walters-B model. Velocity of the surface is supposed to grow as time from its initiation of motion progress. Simulations in this work are based on the assumption of quadratic surface temperature distribution. Temperature rise attributed to the frictional heating effect is accounted for in the analysis. By choosing appropriate base functions, homotopy solutions are developed for reasonably large values of material fluid parameter. Reliability of the analytical results is established by computing averaged squared residual of the system. The contributions of the surface acceleration and elasticity on the boundary layer formation are enlightened through the plots of velocity components and temperature. Skin friction measuring the stress experienced by the surface is evaluated and examined under different controlling parameters. The paper also presents a numerical solution using NDSolve of MATHEMATICA in a special case of steady flow, and such solution agrees very well with the corresponding homotopy solution.
Correlation between mechano-electronic features and scattering rates using deformation potential theory
Authors: Ziati Meryem , Lahlali Sanaa , Ez-Zahraouy Hamid 
Published: November 2023

Abstract
This research paper provides valuable insight into the electronic, mechanical and transport properties of the Sr2RuO2F2 compound. The study shows that the Sr2RuO4 compound exhibits a metallic ground state and that the energy gap widens with oxygen substitution with fluorine. The concept of absolute deformation potential and its correlation with band energies and strains is explained using deformation potential theory. The paper also examines the mechanical features of Sr2RuO2F2 using the Voigt–Reuss–Hill approximation method and analyzes its elastic constants, bulk modulus and shear modulus, indicating flexibility and suitability for optoelectronic applications. The role of acoustic phonons in scattering rates and carrier mobility in Sr2RuO2F2 and its potential for phonon-mediated superconductivity is investigated. The intrinsic resistivity of electrons and holes under strain and its potential impact on superconductivity and electrical resistivity are also discussed. The insight provided by this study contributes to the current understanding of Sr2RuO2F2, and its potential applications.
Grey prediction-based proportional-integral controller applied to solar energy systems
Authors: Chang E C , Wu T T , Tsai C Y , Chang Y W , Wu R C 
Published: November 2023

Abstract
Proportional-integral (PI) controller with simple architecture as well as convenient design makes it widely adopted in the control of solar energy systems. Due to partial shading as well as fault influence, the solar panels tend to be trapped at regional extremely values, attenuating the dynamic and steady-state response. For the sake of strengthening the system control effectiveness, this paper employs a grey prediction-based PI controller to attain a global maximization of the wattage pointed following in sun power plate, providing a pure sine waveform with lower percentage of total harmonic distortion, in addition to fast transience of the solar energy system output voltage. The PI performs tracking control and simultaneously the grey prediction uses a logistic grey model to accurately predict the system state as well as to adjust the PI control parameters for establishing robust system response. The results reveal that the output of the solar system can produce fast dynamics and high efficient steady-state performance, thereby supporting the theoretical validity.
An unmanned aerial vehicle for search and rescue applications
Authors: Lai Y L , Lai Y K , Yang K H , Huang J C , Zheng C Y , Cheng Y C , Wu X Y , Liang S Q , Chen S C , Chiang Y W 
Published: November 2023

Abstract
Unmanned aerial vehicles (UAVs) have emerged as potential tools for search and rescue. This study evaluates the feasibility of developing UAVs for search and rescue from multiple perspectives, including positioning and environmental monitoring considerations. The system architecture incorporates a UAV equipped with sensors for particulate matter, temperature/humidity, and carbon monoxide (CO) detection. Data collected by these sensors were compared with official data from the Environmental Protection Administration (EPA) in Taiwan to assess the reliability of the obtained results. The findings indicate that the data collected by the UAV closely align with the official data, suggesting their reliability and values as references. Furthermore, the study simulates the use of the UAV for automated flight route planning during disaster scenarios. The UAV efficiently navigates predetermined paths around disaster sites while monitoring environmental factors. The results highlight the importance of developing UAVs for search and rescue, as they integrate Internet of things (IoT) technology and provide geolocation and environmental information. The developed UAV enables the rapid acquisition of critical data, supporting decision-making and execution during rescue operations. This research provides a substantial demonstration of the UAV for search and rescue applications.
Innovative research on the application of TIRZ theory to multi-mode UAVs
Authors: Fang J , Shiau Y R , Hung W C 
Published: November 2023

Abstract
According to the current development of Unmanned Aerial Vehicles (UAVs), it can be known that there are no cases where underwater drones and aerial drones are used in parallel. They are all affected by air and water resistance and are easily disturbed in various environments, making it difficult to move effectively. This research uses TRIZ theory to create a multi-modal unmanned vehicle to innovate and improve the existing situation. The type of equipment produced through this research can effectively move in the air, land, and water. The scope includes TRIZ theory, bionic technology, multi-modal innovative design, research, and application of UAV innovation, and monitoring the improvement of its operational resistance through fluid analysis. The output of this research will effectively promote the development of Multi-mode UAVs and improve the problems of existing UAVs.
Study on the rate of change of thread angle and thread distance considering the interference factor under before and after the dynamic vibration of the fastening system
Authors: Chen C M , Chang H L , Chien C Y , Tsui C W 
Published: November 2023

Abstract
Precision nuts are widely used in tool spindles and ball screws. Proper locking gives the bearing the right amount of pre-pressure so that the inner balls can roll steadily and inhibit friction and rapid temperature rise. If no pre-pressure is given to the bearing, it will cause the inner ball to slide irregularly and generate extremely high temperatures. In this paper, the precision nuts used are the flank locking precision locked nut and clasp locking precision locked nut for Taguchi method experiments. The control factors are nut type, Fitting clearance, and lubrication oil. Interference factors are surroundings temperature, assembly personnel, and torque wrench. The purpose is to obtain more suitable anti-loosening characteristics by the Taguchi method under the influence of interference factors and to check the thread angle and thread pitch before and after the experiment. The experimental results were analyzed form Taguchi method to find the combination of parameters with the maximum S/N and the variance analysis to obtain the significant factor. Finally, the regression equation of the loosening prevention characteristics was obtained by regression analysis, which shows that the optimized parameters effectively improve the loosening prevention characteristics and explore the interference factor on the loosening prevention characteristics of precision nuts.
Optimization of the mechanical properties of machine tool with steel reinforced mineral concrete
Authors: Chuang H C , Chen C R 
Published: November 2023

Abstract
High damping and high static stiffness are essential to improve the static and dynamic characteristics of machine tools. Traditionally, the structural parts of machine tools are usually made of cast iron and steel, which may lead to poor surface finish and inaccurate dimensions of finished products. Therefore, many scholars have investigated other alternatives of structural material for machine tools, such as concrete, polymer concrete and epoxy granite. Although epoxy granite has better damping properties, its structural stiffness (as measured by Young’s modulus) is only 1/3 of the gray cast iron. Thus, this study would introduce several steel bar designs into epoxy granite to improve the static stiffness and quantitatively review the performance by finite element analysis. The results showed that the equivalent static stiffness and natural frequency were about 12 to 20% higher than the structural material of cast iron. Therefore, the proposed finite element model of vertical machining center (VMC) column in epoxy granite could serve as a feasible alternative to achieve higher damping or static stiffness, as it was also more environmentally friendly to the manufacturing process.
Properties of 6061 aluminum alloy treated with laser alloying
Authors: Yang Y S , Bai T , Wang T , Xie Y W , Chen H L 
Published: November 2023

Abstract
In this study, a laser surface alloying method is used to alloy 1.8 mm thick 6061 aluminum alloy sheets with Ni alloy powder. The mechanical properties of the resulting alloy are investigated. The experimental results show that, following laser surface alloying, a crack-free zone can be generated but some fine porosity appears. The hardness and the wear properties of the laser alloying specimens are superior to those of the Al-matrix. A hardness of 539 HV is achieved, which is five times greater than that of the Al-matrix. As a result, the laser alloying specimens exhibit excellent wear properties and higher sliding wear distances and speeds compared to those of the Al-matrix, whereby the sliding distance is greater by up to eight times and the sliding speed is increased four-fold.
Application of a novel generative adversarial network to wind power forecasting
Authors: Liao G C , Wu R C , Wu T T , Liao B T 
Published: November 2023

Abstract
As the global economy rapidly develops, energy consumption and carbon dioxide emissions have increased annually, prompting countries to strive for carbon neutrality by 2050. Accurate wind power forecasting can aid power system dispatch departments to obtain wind farms’ output and improve the power system’s new energy absorption capacity by coordinating multiple power generation resources. To this end, this study proposes a novel method for wind power forecasting: the Generative Adversarial Network method-based Deep Q Neural Network (GDQN). Wind power is a nonlinear model with random characteristics like dynamics and uncertainty. The GDQN generates wind power data similar to historical wind power data, solving the problem of insufficient wind power data samples by developing adversarial networks. The deep Q-learning network is then utilized to predict future wind power data. The experimental results based on the actual test of the total power generated by all wind turbines in a complete wind farm indicate that the proposed GDQN method can significantly reduce the Mean Absolute Percentage Error (MAPE %) of wind power forecasting, as compared to other commonly used methods in wind power forecasting.
Study on electrochemical supercapacitor performance of modified lavender biochar
Authors: Wang G X , Xia L S , Zhu X S , Wu J X , Liu X 
Published: November 2023

Abstract
In this study, we proposed a simple and low-cost method for the synthesis of heteroatom-doped porous carbons. Lavender waste residue as biomass precurso, using hydrothermal method synthesized N and S doped nano-layered porous carbon (NLPC-N/S) with high conductivity triumphantly. In the three-electrode system, NLPC-S showed an excellent capacitance (0.5A·g−1, 637.5 F·g−1) in 6 M KOH aqueous solution, which exceeded the specific capacitance of many reported biomass-derived porous carbons, and elucidated charge transfer mechanism and energy storage mechanism were both typical double-layer capacitance characteristics and pseudo-capacitance characteristics. The results of this study provide a cost-effective strategy for the recycling of biological waste, and that biomass carbon materials have high electrochemical performance potential in the field of energy storage.
Research on graphene oxide modified polymer as multifunctional filtration reducer for oil-well cementing
Authors: Xu P , Xia X J , Jin J Z , Yu Y J , Zhang J Y , Zhang H Z 
Published: November 2023

Abstract
Conventional filtration reducers have limited utility in cementing at deep oil and gas fields because of their poor temperature resistance and single function. As a novel multifunctional filtration reducer, graphene oxide-modified polymer GO-PADI was developed by radically copolymerizing 2-acrylamido-2-methylpropane sulfonic acid (AMPS), N, N-dimethyl acrylamide (DMAM) and itaconic acid (IA) between graphene oxide sheets. The microstructure of GO-PADI was confirmed through the utilization of different methods such as fourier transform infrared spectroscopy (FT-IR). The performance evaluation results showed that GO-PADI had the high thermal stability, and could control filtration of cement slurry as conducted by the American Petroleum Institute (API) less than 50 mL, which is 17 % lower than that of the traditional filtration reducer PADI. GO-PADI could increase compressive strength of cement stone by 30.3 %, and decrease elastic modulus by 10.9 % in three-day curing period. GO-PADI has the multifunctional functions of reducing fluid loss, strengthening and toughening, and can effectively improve the engineering performances for high-temperature cement slurry.
A facile preparation of g-C3N4/a-Fe2O3/TiO2 composite and its photocatalysis performance on the degradation of DNT/TNT under simulated sunlight
Authors: Xiufang Qi , Yuan Li , Chunyao Song 
Published: November 2023

Abstract
It has been difficult to solve the environmental problems caused by trinitrotoluene(TNT)/dinitrotoluene(DNT) containing explosive wastewater for decades. The advanced oxidation method based on photocatalysis and hydrogen peroxide has gained considerable popularity in the field of pollutant degradation. In order to find a coping strategy, using a simple method involving obtaining g-C3N4/Fe2O3(CNFe) by two-step calcination and then mixing butyl titanate and CNFe through a sol-gel pathway, a type of low-cost g-C3N4/Fe2O3/TiO2(CNFeTi) ternary composite was prepared and then characterized by SEM-EDS, IR, Raman spectroscopy, XRD, XPS, UV-vis, etc. Using the prepared CNFeTi as catalyst, the effects of the amount of catalyst and H2O2 dosage on the photocatalytic degradation of DNT/TNT in aqueous solution have been investigated under simulated sunlight, with the reaction being tracked by UV-vis spectrophotometer. And from the results it was shown to have excellent photocatalytic performance. Under the conditions of 1.0 g·L−1 H2O2, 3.0 g·L−1 C3N4/Fe2O3/TiO2, 15 A current intensity of a Xenon light source and natural pH, 95% DNT and 91% TNT were removed after 30 min irradiation, indicating the proposed system has a high degradation rate. The CNFeTi catalyst could be reused at least five times and exhibited good stability.