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Molecular ferroelectric/semiconductor interfacial memristors for artificial synapses

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npj Flexible Electronics 2022年第1期6卷 185-193页

作者： Yichen Cai Jialong Zhang Mengge Yan Yizhou Jiang husnain jawad Bobo Tian Wenchong Wang Yiqiang Zhan Yajie Qin Shisheng Xiong Chunxiao Cong Zhi-Jun Qiu Chungang Duan Ran Liu Laigui Hu School of Information Science and Technology Fudan UniversityShanghai 200433P.R.China Key Laboratory of Polar Materials and Devices(MOE) Department of ElectronicsEast China Normal UniversityShanghai 200241China Physikalisches Institut and Center for Nanotechnology Universität MünsterWilhelm-Klemm-Straße 1048149 MünsterGermany.

With the burgeoning developments in artificial intelligence,hardware implementation of artificial neural network is also gaining *** this pursuit,ferroelectric devices(i.e.,tunneling junctions and transistors)with voltage thresholds were recently proposed as suitable ***,their development is hindered by the inherent integration issues of inorganic ferroelectrics,as well as poor properties of conventional organic *** contrast to the conventional ferroelectric synapses,here we demonstrated a two-terminal ferroelectric synaptic device using a molecular ferroelectric(MF)/semiconductor *** interfacial resistance can be tuned via the polarization-controlled blocking effect of the semiconductor,owing to the high ferroelectricity and field amplification effect of the *** synaptic features including spike timing-dependent plasticity are *** introduction of the semiconductor also enables the attributes of optoelectronic synapse and in-sensor computing with high image recognition *** interfaces may pave the way for the hardware implementation of multifunctional neuromorphic devices.

关键词： polarization ferroelectric artificial

Improving Quantitative and Qualitative Characteristics of Wheat (Triticum aestivum L.) through Nitrogen Application under Semiarid Conditions

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Phyton-International Journal of Experimental Botany 2023年第4期92卷 1001-1017页

作者： Muhammad Rafiq Muhammad Saqib husnain jawad Talha Javed Sadam Hussain Muhammad Arif Baber Ali Muhammad Sultan Ali Bazmi Ghulam Abbas Marjan Aziz Mohammad Khalid Al-Sadoon Aneela Gulnaz Sobhi F.Lamlom Muhammad Azeem Sabir Jameel Akhtar Agronomic Research Institute Ayub Agricultural Research InstituteFaisalabad38850Pakistan Depertment of Agronomy University of AgricultureFaisalabad38040Pakistan Department of Agronomy Northwest A&F UniversityYangling712100China Department of Plant Sciences Quaid-i-Azam UniversityIslamabad45320Pakistan Fodder Research Institute Sargodha Sargodha40100Pakistan Department of Agricultural Engineering Barani Agricultural Research InstituteChakwal48800Pakistan Department of Zoology College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia Department of Biotechnology Yeungnam UniversityGyeongbuk38641Korea Plant Production Department Faculty of Agriculture Saba BashaAlexandria UniversityAlexandria21531Egypt Department of Forestry Range and Wildlife ManagementThe Islamia University of BahawalpurBahawalpur63100Pakistan

Nitrogen(N),the building block of plant proteins and enzymes,is an essential macronutrient for plant functions.A field experiment was conducted to investigate the impact of different N application rates(28,57,85,114,142,171,and 200 kg ha^(−1))on the performance of spring wheat(***-2016)during the 2017–2018 and 2018–2019 growing seasons.A control without N application was kept for *** years mean data showed optimum seed yield(5,461.3 kg ha^(−1))for N-application at 142 kg ha^(−1) whereas application of lower and higher rates of N did not result in significant and economically higher seed yield.A higher seed yield was obtained in the 2017–2018(5,595 kg ha^(−1))than in the 2018–2019(5,328 kg ha^(−1))growing seasons under an N application of 142 kg ha^(−1).It was attributed to the greater number of growing degree days in the first(1,942.35°C days)than in the second year(1,813.75°C).Higher rates of N(171 and 200 kg ha^(−1))than 142 kg ha^(−1) produced more number of tillers(i.e.,948,300 and 666,650 ha^(−1),respectively).However,this increase did not contribute in achieving higher *** of 142,171,and 200 kg ha^(−1) resulted in 14.15%,15.0%and 15.35%grain protein concentrations in comparison to 13.15%with the application of 114 kg ha^(−1).It is concluded that the application of N at 142 kg ha^(−1) could be beneficial for attaining higher grain yields and protein concentrations of wheat cultivar Ujala-2016.

关键词： Economical yield growing degree days nitrogen Ujala-2016 wheat

Zariski Topologies for Coprime and Second Submodules

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Algebra Colloquium 2015年第1期22卷 47-72页

作者： jawad Abuhlail Department of Mathematics and StatisticsKing Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia

Let M be a non-zero module over an associative （not necessarily commutative） ring. In this paper, we investigate the so-called second and coprime submodules of M. Moreover, we topologize the spectrum Spec-s（M） of second submodules of M and the spectrum Spec-c（M） of coprime submodules of M, study several properties of these spaces and investigate their internlay with the algebraic properties of M.

关键词： dual Zariski topology multiplication module comultiplication module co-prime submodule second submodule

Interpretability and spatial efficacy of a deep-learning-based on-site early warning framework using explainable artificial intelligence and geographically weighted random forests

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Geoscience Frontiers 2024年第5期15卷 182-196页

作者： jawad Fayaz Carmine Galasso Department of Computer Science University of ExeterUK Department of Civil Environmentaland Geomatic EngineeringUniversity College London(UCL)LondonUK

Earthquakes pose significant risks globally,necessitating effective seismic risk mitigation strategies like earthquake early warning(EEW)***,developing and optimizing such systems requires thoroughly understanding their internal procedures and coverage *** study examines a deep-learning-based on-site EEW framework known as ROSERS(Real-time On-Site Estimation of Response Spectra)proposed by the authors,which constructs response spectra from early recorded ground motion waveforms at a target *** study has three primary goals:(1)evaluating the effectiveness and applicability of ROSERS to subduction seismic sources;(2)providing a detailed interpretation of the trained deep neural network(DNN)and surrogate latent variables(LVs)implemented in ROSERS;and(3)analyzing the spatial efficacy of the framework to assess the coverage area of on-site EEW *** is retrained and tested on a dataset of around 11,000 unprocessed Japanese subduction ground ***-of-fit testing shows that the ROSERS framework achieves good performance on this database,especially given the peculiarities of the subduction seismic *** trained DNN and LVs are then interpreted using game theory-based Shapley additive explanations to establish cause-effect ***,the study explores the coverage area of ROSERS by training a novel spatial regression model that estimates the LVs using geographically weighted random forest and determining the radius of *** results indicate that on-site predictions can be considered reliable within a 2–9 km radius,varying based on the magnitude and distance from the earthquake *** information can assist end-users in strategically placing sensors,minimizing blind spots,and reducing errors from regional extrapolation.

关键词： Earthquake early warning systems Spatial regression Neural networks Japanese subduction Explainable artificial intelligence

Thermal radiation and slip effects on magnetohydrodynamic(MHD)stagnation point flow of Casson fluid over a convective stretching sheet

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Propulsion and Power Research 2019年第2期8卷 138-146页

作者： jawad Raza School of Quantitative Sciences Universiti Utara MalaysiaMalaysia University of Lahore Pakpattan CampusPakistan

Current study examines the combined effect of thermal radiation and velocity slip along a convective heated stretching ***(MHD)effect near the stagnation point is also under *** main structure of partial differential equations attained in the form of momentum,energy and concentration *** a self-similar solution,the system of governing PDEs assimilated into the set of nonlinear ordinary differential equations by applying suitable similarity *** nonlinear ODEs are successfully solved via Runge-Kutta-Fehlberg *** obtained unknown functions are discussed in detail after plotting the numerical results against different arising physical *** validations of numerical results have been taken into account with two different numerical approaches and it is found to be in excellent agreement with the numerical *** study reveals that concentration boundary layer thickness decreases by increasing the values of Schmidt number and increases by increasing the chemical reaction parameter.

关键词： Magnetic field Casson fluid Stretching sheet Thermal radiation Chemical reaction

Artificial neural network based modeling of liquid membranes for separation of dysprosium

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Journal of Rare Earths 2023年第3期41卷 440-445,I0005页

作者： jawad Iqbal Arjun Tyagi Manish Jain Department of Applied Chemistry Delhi Technological UniversityDelhi110042India

In recent years,the liquid membrane process has been widely investigated to remove rare earth ***,transport modeling of this process requires the accurate values of several parameters,which are difficult to ***,the accurate simulation of this process is a challenging *** this study,the artificial neural network(ANN)based approach is used to model the liquid membrane process for removing *** results from a previous study were used to train the ***,the number of neurons in the hidden layer was *** minimum mean squared error between experimental results and model predictions is found with ten *** predictions were successfully validated with experimental results with correlation factor(R)of 0.9987,which confirms the authenticity of the trained *** ANN was then used to study the effects of different operating parameters on transport *** higher volume ratio of membrane solution to feed solution(3-4)with 50-60 min of operation,higher feed pH(5),HCl concentration in stripping solution of 2 mol/L,and moderate concentration of carrier species(0.5 mol/L)with 0.5×10^(-4) mol/L dysprosium initial concentration are found to be optimum values of operating conditions for maximizing the transport rate.

关键词： Rareearth metal separation Artificial neural network Dysprosium separation Liquid membranes

Anisotropic Inflationary Scenario Via Generalized Chaplygin Gas Model

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Communications in Theoretical Physics 2016年第5期65卷 653-658页

作者： Abdul jawad Shamaila Rani Department of Mathematics COMSATS Institute of Information Technology

We investigate generalized chaplygin gas for warm inflationary scenario in the context of locally rotationally symmetric Bianchi type I universe *** assume two different cases of dissipative coefficient,i.e.,constant as well as function of scalar *** construct dynamical equations as well as a relationship between scalar and radiation energy densities under slow-roll *** also derive slow-roll parameters,scalar and tensor power spectra,scalar spectral index,tensor to scalar ratio for analyzing inflationary background during high dissipative *** also use the WMAP7 data for the discussion of our parameters.

关键词： anisotropic universe model inflation generalized chaplygin gas

New Agegraphic Pilgrim Dark Energy in f(T, T_G) Gravity

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Communications in Theoretical Physics 2015年第8期64卷 145-150页

作者： Abdul jawad Ujjal Debnath Department of Mathematics COMSATS Institute of Information Technology Department of Mathematics Indian Institute of Engineering Science and Technology

In this work, we briefly discuss a novel class of modified gravity like f(T, TG) gravity. In this background,we assume the new agegraphic version of pilgrim dark energy and reconstruct f(T, TG) models for two specific values of s. We also discuss the equation of state parameter, squared speed of sound and wDE-w DEplane for these reconstructed f(T, TG) models. The equation of state parameter provides phantom-like behavior of the universe. The wDE-w DEplane also corresponds to ΛCDM limit, thawing and freezing regions for both models.

关键词： f(T TG) gravity Pilgrim DE models cosmological par

Accretion onto Charged Black Holes in Einstein and Massive Theories of Gravity

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Communications in Theoretical Physics 2019年第6期71卷 702-710页

作者： Abdul jawad Shahid Chaudhary Department of Mathematics COMSATS UniversityIslamabadLahore Campus-54000Pakistan Department of Mathematics Sharif College of Engineering and TechnologyLahore-54000Pakistan

The accretion process is being investigated onto some important black holes such as Born-Infeld-AdS black hole, non-linear charged black hole solution in AdS space-time and Einstein-Yang-Mills massive gravity in the presence of Born-Infeld nonlinear electrodynamics. We find out the relations of radial velocity, energy density and change of mass for mention black holes and analyze their behavior graphically for different values of equation of state parameters ω.We also examine the relations for critical speed for these black holes. It is observed that for different state parameters different fluids exhibit different evolutions in black holes backgrounds. The energy density of some fluids is negative or positive near the black hole while other fluids become cause to increase or decrease in black hole mass.

关键词： accretion black holes Einstein gravity massive gravity