Results 41 to 50 of about 5,294,562 (191)
Rare Metals, Volume 45, Issue 11, November 2026.ABSTRACT Electrocatalytic CO2 reduction reaction (CO2RR) represents a pivotal pathway for the promotion of carbon neutrality and the preparation of highly valuable chemicals. To improve the product selectivity and catalytic efficiency of CO2RR, single‐atom catalysts (SACs) offering highly efficient atomic utilization rates and adjustable electronic ...
Xiaorui Liu +7 more
wiley +1 more source
Rare Metals, Volume 45, Issue 11, November 2026.ABSTRACT Electrocatalytic C–N coupling technology provides a new approach for green acetamide synthesis, which is achieved via direct reduction of carbon monoxide (CO) and ammonia (NH3). However, efficient, stable catalysts urgently need to be developed, and their reaction mechanisms elucidated.
Haonan Li +6 more
wiley +1 more source
Rare Metals, Volume 45, Issue 11, November 2026.ABSTRACT Low‐temperature performance degradation limits lithium‐ion batteries (LIBs) in extreme climates and specialized applications. Electrolytes govern Li+ transport and interfacial reactions, whereas their solvation chemistry controls ionic conductivity, desolvation kinetics, and interphase stability.
Yuqing Chen +7 more
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智能科学与技术学报, 2019 机器学习根据历史数据的模式预测未来，近年来进行了大量研究并得到了应用，但在处理动态、非完整、非结构化信息上与人类相去甚远。为此，引入人的决策，结合机器学习、知识库，构建了一个人在回路的混合增强智能闭环系统。基于 Sawyer 协作机器人搭建了人机融合实验平台，设计了机器人抓取实验。实验结果表明，相比单一机器学习方式，在引入人类智能后，Sawyer在应对非结构化环境下的抓取任务中表现更佳。
付海军 +4 more
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Rare Metals, Volume 45, Issue 11, November 2026.ABSTRACT Garnet‐type solid‐state electrolytes (SSEs) are widely regarded as key materials for high‐energy lithium‐ion solid‐state batteries (LSSBs), owing to their compatibility with lithium metal anodes and high‐voltage cathodes. However, their practical application is limited by multiscale degradation processes, including interfacial instability ...
Yan‐Feng Wang +8 more
wiley +1 more source
Gaoya dianqi, 2015 针对变压器故障的特征,结合变压器油中气体分析法以及三比值法,提出了基于遗传算法改进极限学习机的故障诊断方法。由于输入层与隐含层的权值和阈值是随机产生,传统的极限学习机可能会使隐含层节点过多,训练过程中容易产生过拟合现象。该方法运用遗传算法对极限学习机的输入层与隐含层的权值与阈值进行优化,从而提高模型的稳定性和预测精度。将诊断结果与传统的基于极限学习机故障诊断进行对比,结果表明,基于遗传算法改进极限学习机变压器故障诊断的精度更高。
吕忠 +4 more
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Zhejiang Daxue xuebao. Lixue ban, 2022 近年来，机器学习等人工智能技术被应用于蛋白质工程，其在蛋白质结构、功能预测、催化活性等研究中具有独特优势。在未知蛋白质结构的情况下，将蛋白质序列和功能特性与机器学习相结合，基于序列-活性关系（innovative sequence-activity relationship，ISAR）算法，将蛋白质氨基酸序列数字化，用快速傅里叶变换（fast four transform，FFT）进行预处理，再进行偏最小二乘回归建模，可在数据集较少情况下拟合得到最佳模型。通过机器学习对紫色球杆菌视紫红质 ...
JIALili(郏丽丽) +1 more
doaj +1 more source
World Water Policy, Volume 12, Issue 4, November 2026.ABSTRACT Biochemical oxygen demand (BOD) remains a core indicator of organic pollution in freshwater monitoring, but its role in water policy and practice is changing as water‐quality assessment moves toward predictive, integrative, and decision‐support approaches.
Isadora Favero Roque Cenci +5 more
wiley +1 more source
Gaoya dianqi, 2016 传统单一人工智能方法对变压器故障诊断中采用的大量不完备信息不能够有效处理,导致故障诊断准确率不高。为弥补这一不足,在全面分析粒子群算法（particle swarm optimization,PSO）和极限学习机（extreme learning machine,ELM）各自优势的基础上,构建了一种基于粒子群优化极限学习机的变压器故障诊断方法。该方法以DGA作为特征输入,利用粒子群算法对极限学习机的输入层权值和隐含层阈值进行优化,从而提高变压器故障诊断的精度。实例对比分析表明 ...
袁海满, 吴广宁, 高波
doaj
International Journal of Applied Linguistics, Volume 36, Issue 4, Page 3183-3202, November 2026.ABSTRACT Although the use of AI technologies (e.g., chatbots and automated writing evaluations (AWE)) has gained considerable attention in language learning fields in recent years, how AI technologies have been designed and implemented in language learning education, as well as their effectiveness, is understudied.
Shen Qiao +2 more
wiley +1 more source