ADDITIVE

作品数:1115被引量:2291H指数:18
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相关领域:理学更多>>
相关作者:梁辉郝俊杰季惠明纪爱兵钱婷婷更多>>
相关机构:中国科学院北京理工大学中国科学技术大学东南大学更多>>
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相关基金:国家自然科学基金国家重点基础研究发展计划中国博士后科学基金国家教育部博士点基金更多>>
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Multifunctional Graphdiyne Enables Efficient Perovskite Solar Cells via Anti-Solvent Additive Engineering
《Nano-Micro Letters》2025年第5期492-507,共16页Cong Shao Jingyi He Jiaxin Ma Yirong Wang Guosheng Niu Pengfei Zhang Kaiyi Yang Yao Zhao Fuyi Wang Yongjun Li Jizheng Wang 
supported by the National Key Research Program of China(Y91Z0152B4,2018YFA0703501);the National Nature Science Foundation of China(22172173,22021002)。
Finding ways to produce dense and smooth perovskite films with negligible defects is vital for achieving high-efficiency perovskite solar cells(PSCs).Herein,we aim to enhance the quality of the perovskite films throug...
关键词:Perovskite solar cells Graphdiyne Anti-solvent additive engineering Crystallization Defect passivation 
Machine learning driven high-throughput screening of S and Ncoordinated SACs for eNRR
《Nano Research》2025年第4期633-644,共12页Lintao Xu Yuhong Huang Haiping Lin Xiumei Wei Fei Ma 
supported by National Natural Science Foundation of China(Nos.52271136 and 22373063);the Natural Science Foundation of Shaanxi Province in China(Nos.2021JC-06 and 2019TD-020);Fundamental Research Funds for the Central Universities of China(No.GK202203002).
This study constructs 196 transition metals(TM)@S_(x)N_(y) single-atom catalysts(SACs)(x=0-4 and y=0-4)and employs the eXtreme Gradient Boosting(XGBoost)classification model in machine learning(ML)for effectively dist...
关键词:nitrogen reduction reaction(NRR)process machine learning catalytic descriptors SHapley Additive exPlanations(SHAP)analysis 
基于深度学习的重质馏分油分子层次组成预测模型
《石油学报(石油加工)》2025年第2期362-370,共9页袁壮 王源 杨哲 徐伟 周鑫 赵辉 陈小博 杨朝合 林扬 
国家自然科学基金青年基金项目(22108307);化学品安全全国重点实验室开放课题资助。
随着工业大数据时代的到来,基于深度学习建立的原油分子组成预测模型具有适用范围广、构建快捷、准确性高等优点。然而,石油馏分分子层次信息标签获取困难,难以满足深度学习模型训练需求。为解决上述问题,基于商业流程模拟软件Aspen HY...
关键词:重质馏分油 分子组成 深度学习 SHapley Additive exPlanation(SHAP)解释 分子管理 
MSFAFuse:基于多尺度特征信息与注意力机制的SAR和可见光图像融合模型
《图学学报》2025年第2期300-311,共12页潘树焱 刘立群 
国家自然科学基金(32460440);甘肃省高校教师创新基金(2023A-051);甘肃农业大学青年导师基金(GAU-QDFC-2020-08);甘肃省科技计划项目(20JR5RA032)。
针对单一成像原理得到的遥感图像无法提供丰富信息的问题,异源遥感图像融合技术应运而生。合成孔径雷达图像成像不受云层、天气等因素影响,但缺乏目视观测能力;可见光图像成像易受恶劣环境影响,但拥有直视效果及目标解译能力。将二者融...
关键词:图像融合 多尺度特征 Efficient additive attention 遥感 深度学习 
蓝色盒子的银河 ADDITIVE意大利总部办公室
《室内设计与装修》2025年第4期14-19,共6页 麦子(编译) 
本案为ADDITIVE公司位于意大利北部博尔扎诺市的总部办公室。设计团队以空间探索为灵感,采用创新方式重新诠释了工作场所。该设计旨在鼓励员工自由地活动,持续激发探索欲望,并在每一步都呈现令人惊喜的场景。工作场所要成为公司吸引人...
关键词:贸易展览 办公空间 空间探索 探索欲望 意大利北部 ADD 吸引人才 VE 
Plasticizers released from PVC microplastics in aquaculture environments:leaching behaviors and ecological implications
《Journal of Oceanology and Limnology》2025年第2期633-643,共11页Lok Tung FUNG Mengyang LIU Keran YANG Yaru CAO Yifang CHEN Meng YAN M.Y.Kenneth LEUNG 
Supported by the State Key Laboratory of Marine Pollution(SKLMP)in City University of Hong Kong,the Shenzhen Science and Technology Program(No.JCYJ20220530140813030 to Meng YAN);the Innovation and Technology Commission(ITC)of the Hong Kong SAR Government(No.9448002),which provides regular research funding support to SKLMP。
Contamination of microplastics(MPs)and their associated plastic additives in the marine environment is a global concern due to their widespread distribution and toxicity to aquatic life.Although polyvinyl chloride(PVC...
关键词:phthalate ester polyvinyl chloride ADDITIVE leaching kinetic 
Impacts of extreme climate and vegetation phenology on net primary productivity across the Qinghai-Xizang Plateau, China from 1982 to 2020
《Journal of Arid Land》2025年第3期350-367,共18页SUN Huaizhang ZHAO Xueqiang CHEN Yangbo LIU Jun 
supported by the National Natural Science Foundation of China (U2243227)。
The net primary productivity(NPP) is an important indicator for assessing the carbon sequestration capacities of different ecosystems and plays a crucial role in the global biosphere carbon cycle. However, in the cont...
关键词:net primary productivity(NPP) extreme climate indices vegetation phenology Carnegie-Ames-Stanford Approach(CASA)model random forest(RF) SHapley Additive ex Planations(SHAP) Qinghai-Xizang Plateau 
Construction and validation of machine learning-based predictive model for colorectal polyp recurrence one year after endoscopic mucosal resection
《World Journal of Gastroenterology》2025年第11期46-62,共17页Yi-Heng Shi Jun-Liang Liu Cong-Cong Cheng Wen-Ling Li Han Sun Xi-Liang Zhou Hong Wei Su-Juan Fei 
BACKGROUND Colorectal polyps are precancerous diseases of colorectal cancer.Early detection and resection of colorectal polyps can effectively reduce the mortality of colorectal cancer.Endoscopic mucosal resection(EMR...
关键词:Colorectal polyps Machine learning Predictive model Risk factors SHapley Additive exPlanation 
Prediction of BOF endpoint carbon content and temperature via CSSA-BP neural network model
《Journal of Iron and Steel Research International》2025年第3期578-593,共16页Xiao-feng Qiu Run-hao Zhang Jian Yang 
supported by the National Natural Science Foundation of China(Grant No.U1960202);the Science and Technology Commission of Shanghai Municipality(No.19DZ2270200).
To predict the endpoint carbon content and temperature in basic oxygen furnace (BOF), the industrial parameters of BOF steelmaking are taken as input values. Firstly, a series of preprocessing works such as the Pauta ...
关键词:BOF steelmaking Principal component analysis Hierarchical clustering CSSA-BP SHapley additive interpretation 
Blood pressure abnormality detection and interpretation utilizing explainable artificial intelligence
《Intelligent Medicine》2025年第1期54-65,共12页Hedayetul Islam Md.Sadiq Iqbal Muhammad Minoar Hossain 
Objective Hypertension is a critical medical condition that increases the risks of many fatal diseases.Early detection of hypertension can be crucial to lead a healthy life.Machine learning(ML)can be useful for the ea...
关键词:Machine learning Explainable artificial intelligence Principal component analysis Recursive feature elimination Shapley additive explanations 
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