This paper proposed a fully LTPS-TFT-based bi-directional biomedical pixel interface with integrated a high linearity stimulator and a high-performance bio-potential sensing front-end circuit to amplify and digitize b...
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Machine learning-assisted retrosynthesis planning aims to utilize machine learning(ML)algorithms to find synthetic pathways for target *** recent years,with the development of artificial intelligence(AI),especially ML...
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Machine learning-assisted retrosynthesis planning aims to utilize machine learning(ML)algorithms to find synthetic pathways for target *** recent years,with the development of artificial intelligence(AI),especially ML,researchers’interest in ML-assisted retrosynthesis planning has rapidly increased,bringing development and opportunities to the *** this review,we aim to provide a comprehensive understanding of ML-assisted retrosynthesis *** first discuss the formal definition and the objective of retrosynthesis planning,and organize a modular framework which includes four modules:data preparation,data preprocessing,pathway generation and evaluation,and pathway ***,we sequentially review the current status of the first three modules(except pathway verification)in the ML-assisted retrosynthesis planning framework,including ideas,methods,and latest *** that,we specifically discuss large language models in retrosynthesis ***,we summarize the extant challenges that are faced by current ML-assisted retrosynthesis planning research and offer a perspective on future research directions and development.
Inductive pulsed power supply(IPPS)is a promising type of power supplies for electromagnetic launch,but its advantage in energy density is strongly restricted by the primary power ***,batteries become a suitable and p...
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Inductive pulsed power supply(IPPS)is a promising type of power supplies for electromagnetic launch,but its advantage in energy density is strongly restricted by the primary power ***,batteries become a suitable and practical choice for the primary *** this paper,the working process of battery powering IPPS is analysed in *** indicators of the charging performance are calculated,which are then proved to be irrelevant to most of the parameters of *** on this,an optimization method for battery and IPPS system is proposed,in which the charging and discharging processes can be *** for the decoupled battery charging process,the bi-objective optimization model is *** examples illustrate the feasibility and effectiveness of the proposed optimization *** order to further improve the performance of the battery and IPPS system,the inherent time constant of the inductors and the output power density of the battery cell should be increased.
作者：
Saad, Mohammed AyadJaafar, RosminaChellappan, Kalaivani
Faculty of Engineering and Built Environment Department of Electrical Electronics and System Engineering Selangor Bangi43600 Malaysia Al-Kitab University
Department of Medical Instrumentations Technique Engineering Kirkuk36001 Iraq Universitas Airlangga
Biomedical Engineering Study Program Faculty of Science and Technology Surabaya60115 Indonesia
Efficient data collection in wireless sensor networks (WSNs) is crucial. While traditional approaches rely on stationary data sinks, the use of mobile sinks, like unmanned aerial vehicles (UAVs), has shown promise in ...
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In recent years, robotics technology has made significant advancements, particularly in multi-robot systems where efficient task allocation plays a crucial role in maximizing productivity and minimizing operational ti...
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The strict and high-standard requirements for the safety and stability ofmajor engineeringsystems make it a tough challenge for large-scale finite element modal *** the same time,realizing the systematic analysis of ...
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The strict and high-standard requirements for the safety and stability ofmajor engineeringsystems make it a tough challenge for large-scale finite element modal *** the same time,realizing the systematic analysis of the entire large structure of these engineeringsystems is extremely meaningful in *** article proposes a multilevel hierarchical parallel algorithm for large-scale finite element modal analysis to reduce the parallel computational efficiency loss when using heterogeneous multicore distributed storage computers in solving large-scale finite element modal *** on two-level partitioning and four-transformation strategies,the proposed algorithm not only improves the memory access rate through the sparsely distributed storage of a large amount of data but also reduces the solution time by reducing the scale of the generalized characteristic equation(GCEs).Moreover,a multilevel hierarchical parallelization approach is introduced during the computational procedure to enable the separation of the communication of inter-nodes,intra-nodes,heterogeneous core groups(HCGs),and inside HCGs through mapping computing tasks to various hardware *** method can efficiently achieve load balancing at different layers and significantly improve the communication rate through hierarchical ***,it can enhance the efficiency of parallel computing of large-scale finite element modal analysis by fully exploiting the architecture characteristics of heterogeneous multicore ***,typical numerical experiments were used to validate the correctness and efficiency of the *** a parallel modal analysis example of the cross-river tunnel with over ten million degrees of freedom(DOFs)was performed,and ten-thousand core processors were applied to verify the feasibility of the algorithm.
The microstructure evolution of Al-1 wt% Si alloy wires with a diameter of 50.8 μm bonded on Cu metallization was investigated under electromigration (EM) tests with a current density of 7 × 104 A/cm2 at an...
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The success of Internet of Things (IoT) services will be determined by how the security of the IoT devices and the networks to which they are connected can be guaranteed. Integrating biometric recognition technology i...
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Carbon-based fibrous supercapacitors(CFSs)have demonstrated great potential as next-generation wearable energy storage devices owing to their credibility,resilience,and high power *** limited specific surface area and...
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Carbon-based fibrous supercapacitors(CFSs)have demonstrated great potential as next-generation wearable energy storage devices owing to their credibility,resilience,and high power *** limited specific surface area and low electrical conductivity of the carbon fiber electrode,however,impede its practical *** overcome this challenge,this study fabricated a CFS by sequentially coating graphene,carbon nanotube,and activated carbon on the carbon fiber surface(CF/G/CNT/AC).The CF/G/CNT/AC exhibited excellent electrochemical performance with a specific capacitance of 692 mF cm^(-2)at 70μA cm^(-2)and good cycling stability over 4000 *** result is ascribed to the increase of contact area between the active material and the current ***,the energy density of the as-prepared CF/G/CNT/AC fibrous supercapacitor reaches 86.6 and 37.7μW cm^(-2)at power densities of 126 and 720μW cm^(-2),respectively,demonstrating its potential for practical *** addition,the CF/G/CNT/AC demonstrated favorable traits such as mechanical flexibility,feasibility,and energy storage capacity,qualifying it as a viable alternative for wearable electronic textiles.
This paper investigates energy-efficient, chargingaware route planning for Battery Electric Vehicles (BEVs) while accounting for uncertainties in charging station availability and time-varying traffic conditions. The ...
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