Results 41 to 50 of about 13,682 (165)

Study of the Agent-based Mechanism of Innovation Diffusion [PDF]

open access: yes, 2014
采用基于AgEnT的建模思想和方法,结合创新扩散的微观机理和复杂网络的特征,研究基于AgEnT的创新扩散与bASS模型的内在联系,建立基于AgEnT的创新扩散模型,并通过计算实验,研究网络拓扑结构、内部因素和外部因素影响下的微观创新扩散机理。研究结果表明,当外部因素对创新扩散的影响力远小于内部因素时,无标度网络度分布的异质性最有利于创新的扩散。随着外部因素影响力的增大,创新扩散曲线在无标度网络和小世界网络中的差异逐渐减小。此外,内外部因素影响力的增大都有利于创新的有效扩散。This paper,by ...
周琦萍, 徐迪, 杨芳
core  

Prioritized Lithium Extraction From Spent Lithium‐Ion Batteries via Low‐Temperature Chlorination Mediated by Seawater‐Derived Chlorides

open access: yesRare Metals, Volume 45, Issue 2, February 2026.
ABSTRACT Chlorination roasting has emerged as a promising pyrometallurgical strategy for the selective recovery of lithium from spent lithium‐ion batteries (LIBs). In this study, a natural roasting agent, seawater‐derived chlorides, was employed to selectively extract lithium from spent LiNi0.5Co0.2Mn0.3O2 (NCM523) cathode. MgCl2·6H2O, a main component
Bei‐Lei Zhang   +7 more
wiley   +1 more source

基于核脉冲峰值序列二维卷积神经网络的核素识别方法

open access: yesHe jishu
基于能谱的核素识别方法受到数值统计局限性的影响,需花费较长时间得到统计结果,导致应用于低计数率的快速核素识别速度较慢、精度较差、泛化性不高。为提升核素识 别的速度和性能,本文提出一种基于核脉冲峰值序列二维卷积神经网络(Two-Dimensional Convolutional Neural Network,2D-CNN)的核素识别方法。实验使用NaI(Tl)探测器在不同探源距下采集低计数率的单一源、混合源以及环境本底的核脉冲序列并将其进行固定长度序列划分作为数据集 ...
罗 庚   +7 more
doaj   +1 more source

InGaAs/GaAs应变量子阱的低温光伏谱 [PDF]

open access: yes, 1997
用光伏谱方法研究了IngAAS/gAAS应变量子阱结构中各子能级间的光跃迁,并与理论计算的结果进行了比较.分析了光伏谱峰能量随阱宽与温度的变化,并讨论了光伏谱峰强度的温度关系.国家自然科学资金 ...
余辛, 吴正云, 王小军, 黄启圣
core  

Size‐Dependent Hydrogen Dissociation Capacity in Ni/CeO2 Catalysts for Low‐Temperature CO2 Methanation

open access: yesRare Metals, Volume 45, Issue 2, February 2026.
ABSTRACT Converting CO2 to CH4 under mild conditions is a promising strategy for solving environmental and energy problems, but also a challenge. In this work, the low‐temperature CO2 hydrogenation process over Ni/CeO2 catalysts was significantly accelerated by optimizing the H2 dissociation ability of Ni through the size effect, thus A‐Ni/CeO2 with an
Yu Xie   +8 more
wiley   +1 more source

Production of top Quark pair at the large hadron collider(大型强子对撞机中顶夸克对的产生)

open access: yesZhejiang Daxue xuebao. Lixue ban, 2018
通过分析质心能量为8 TeV的质子-质子对撞实验,对大型强子对撞机上的ATLAS探测器,测量了顶夸克对产生过程pp→t的归一化微分散射截面,该实验数据对胶子部分子分布函数的确定非常重要.采用蒙特卡罗数值计算程序MadGraph以及CT10NNLO和CT14NNLO部分子分布函数,分别计算此过程的归一化微分散射截面,得到了与ATLAS实验相符的结果.进一步,用ATLAS实验数据和本文的理论计算结果,更新CT14NNLO部分子分布函数.结果显示,顶夸克对归一化微分散射截面对部分子分布函数不敏感 ...
ABLIKIMITursun(阿布力克木·吐尔孙)   +1 more
doaj   +1 more source

透视哲学研究中的计算建模方法 [PDF]

open access: yes, 2005
统哲学研究方法在本质上主要是思辨的,但随着非线性科学与计算技术的迅速发 展,目前哲学研究中也兴起了全新的计算实验方法。对于那些思辨哲学问题,通过计算模型,可以 给出更加形象直观的刻画,从而揭示原先无法认识到的深层内涵。因此,可以把计算化的哲学模 型看作是具有复杂结构的思想实验,它打破传统哲学的非精确性,使得计算资源可以为哲学研究 发挥作用。这为哲学的研究提供了一种具有革命性的新手段。国家自然科学基金项目(60275023) ;国家社会科学基金项目 ...
周昌乐
core  

Band Edge Reorganization via Symmetry Constraints in Covalent Bonding Heterojunctions Boosts Photocatalytic Metronidazole Degradation

open access: yesRare Metals, Volume 45, Issue 2, February 2026.
ABSTRACT The covalent bonds at heterojunction interfaces enable more efficient charge carrier separation than traditional weakly coupled heterojunctions, with enhanced photocatalytic performance for organic wastewater purification. The interfacial covalent bonds drive energy band reorganization, rendering the conventional independent band edge ...
Jing‐Yu Ren   +5 more
wiley   +1 more source

面向可解释性人工智能与大数据的模糊系统发展展望

open access: yes智能科学与技术学报, 2019
模糊系统作为一种万能逼近器具有很强的可解释性,已被广泛应用在各个领域。尽管目前模糊系统的理论研究不够成熟,仍然存在诸如规则太多、优化困难、维度诅咒等问题,难以处理高维大数据。尽管深度神经网络取得了突出进展,能很好处理图像和语音等大数据,但其可解释性不好,难以用于安全相关的重要场合。因此,非常有必要研究一种基于模糊系统的可解释性强的人工智能算法。结合深度神经网络和模糊系统两者的优点,研究深度模糊系统及其算法,将有可能解决高维大数据问题。主要对模糊系统的发展历程与研究进展分别进行详细阐述 ...
陈德旺, 蔡际杰, 黄允浒
doaj  

Efficient lookup method of OpenFlow table based on predictive caching [PDF]

open access: yesJisuanji gongcheng, 2019
There are serious performance bottlenecks of flow table lookups as OpenFlow supports wildcard search.Therefore,a lookup method of OpenFlow table is proposed based on network traffic locality.By caching recent frequent connections in packet traffic and ...
FU Ming,HE Yang,XIONG Bing
doaj   +1 more source

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