首页 > 最新文献

Journal of Simulation最新文献

英文 中文
Discrete event simulation as a decision tool: a cost benefit analysis case study 离散事件模拟作为决策工具:成本效益分析案例研究
IF 2.5 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-02-06 DOI: 10.1080/17477778.2023.2167618
G. Rotunno, Giacomo Lo Zupone, L. Carnimeo, M. P. Fanti
{"title":"Discrete event simulation as a decision tool: a cost benefit analysis case study","authors":"G. Rotunno, Giacomo Lo Zupone, L. Carnimeo, M. P. Fanti","doi":"10.1080/17477778.2023.2167618","DOIUrl":"https://doi.org/10.1080/17477778.2023.2167618","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48190959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Simheuristic and learnheuristic algorithms for the temporary-facility location and queuing problem during population treatment or testing events 群体处理或测试事件中临时设施位置和排队问题的模拟启发式和学习启发式算法
IF 2.5 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-01-24 DOI: 10.1080/17477778.2023.2166879
C. Bayliss, Javier Panadero
Epidemic outbreaks, such as the one generated by the coronavirus disease, have raised the need for more efficient healthcare logistics. One of the challenges that many governments have to face in such scenarios is the deployment of temporary medical facilities across a region with the purpose of providing medical services to their citizens. This work tackles this temporary-facility location and queuing problem with the goals of minimising costs, the expected completion time, population travel time, and waiting time. The completion time for a facility depends on the numbers assigned to those facilities as well as stochastic arrival times. This work proposes a learnheuristic algorithm to solve the facility location and population assignment problem. Firstly a machine learning algorithm is trained using data from a queuing model (simulation module). The learnheuristic then constructs solutions using the machine learning algorithm to rapidly evaluate decisions in terms of facility completion and population waiting times. The efficiency and quality of the algorithm is demonstrated by comparison with exact and simulation-only (simheuristic) methodologies. A series of experiments are performed which explore the trade-offs between solution cost, completion time, population travel time, and waiting time. © 2023 The Operational Research Society.
疫情爆发,如冠状病毒疾病引发的疫情,提高了对更高效医疗物流的需求。在这种情况下,许多政府必须面临的挑战之一是在整个地区部署临时医疗设施,为其公民提供医疗服务。这项工作解决了这个临时设施的位置和排队问题,目的是最大限度地减少成本、预期完工时间、人口出行时间和等待时间。设施的完工时间取决于分配给这些设施的数字以及随机到达时间。本文提出了一种学习启发式算法来解决设施选址和人口分配问题。首先,使用来自排队模型(模拟模块)的数据来训练机器学习算法。然后,学习启发式使用机器学习算法构建解决方案,以根据设施完成情况和人口等待时间快速评估决策。通过与精确和仅模拟(simheuristic)方法的比较,证明了该算法的效率和质量。进行了一系列实验,探讨了解决方案成本、完成时间、人口旅行时间和等待时间之间的权衡。©2023运营研究学会。
{"title":"Simheuristic and learnheuristic algorithms for the temporary-facility location and queuing problem during population treatment or testing events","authors":"C. Bayliss, Javier Panadero","doi":"10.1080/17477778.2023.2166879","DOIUrl":"https://doi.org/10.1080/17477778.2023.2166879","url":null,"abstract":"Epidemic outbreaks, such as the one generated by the coronavirus disease, have raised the need for more efficient healthcare logistics. One of the challenges that many governments have to face in such scenarios is the deployment of temporary medical facilities across a region with the purpose of providing medical services to their citizens. This work tackles this temporary-facility location and queuing problem with the goals of minimising costs, the expected completion time, population travel time, and waiting time. The completion time for a facility depends on the numbers assigned to those facilities as well as stochastic arrival times. This work proposes a learnheuristic algorithm to solve the facility location and population assignment problem. Firstly a machine learning algorithm is trained using data from a queuing model (simulation module). The learnheuristic then constructs solutions using the machine learning algorithm to rapidly evaluate decisions in terms of facility completion and population waiting times. The efficiency and quality of the algorithm is demonstrated by comparison with exact and simulation-only (simheuristic) methodologies. A series of experiments are performed which explore the trade-offs between solution cost, completion time, population travel time, and waiting time. © 2023 The Operational Research Society.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47072482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Agent-based modelling and simulation for life-cycle airport flight planning and scheduling 基于Agent的全生命周期机场飞行计划与调度建模与仿真
IF 2.5 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-01-24 DOI: 10.1080/17477778.2023.2169643
Xiaoyu Ma, Zhou He, Pengfei Yang, Xiyang Liao, W. Liu
{"title":"Agent-based modelling and simulation for life-cycle airport flight planning and scheduling","authors":"Xiaoyu Ma, Zhou He, Pengfei Yang, Xiyang Liao, W. Liu","doi":"10.1080/17477778.2023.2169643","DOIUrl":"https://doi.org/10.1080/17477778.2023.2169643","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42747926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Installation planning for an offshore wind farm: a hybrid modelling framework of integrating simulation and optimisation with a Markov Chain 海上风电场的安装规划:一个将仿真和优化与马尔可夫链集成的混合建模框架
IF 2.5 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-01-16 DOI: 10.1080/17477778.2022.2163933
Kisun Bae, H. Ko
{"title":"Installation planning for an offshore wind farm: a hybrid modelling framework of integrating simulation and optimisation with a Markov Chain","authors":"Kisun Bae, H. Ko","doi":"10.1080/17477778.2022.2163933","DOIUrl":"https://doi.org/10.1080/17477778.2022.2163933","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48889690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A decision support methodology to support military asset and resource planning 支持军事资产和资源规划的决策支持方法
IF 2.5 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-01-08 DOI: 10.1080/17477778.2023.2165460
S. Elsawah, H. Turan, Lindsay Gordon, M. Ryan
{"title":"A decision support methodology to support military asset and resource planning","authors":"S. Elsawah, H. Turan, Lindsay Gordon, M. Ryan","doi":"10.1080/17477778.2023.2165460","DOIUrl":"https://doi.org/10.1080/17477778.2023.2165460","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44770682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Modelling a Computed Tomography service using mixed Operational Research methods 使用混合运筹学方法对计算机断层扫描服务建模
IF 2.5 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-01-03 DOI: 10.1080/17477778.2022.2152394
M. Conlon, O. Molloy
ABSTRACT Demand for computed tomography (CT) and CT waiting lists are growing, a problem exacerbated by the postponement of scheduled services during the Covid-19 pandemic. In this case study operational research (OR) methods were used to investigate resource utilisation and CT waiting list growth. Stakeholder involvement was facilitated using system dynamics (SD) for problem conceptualisation and Soft Systems Methodology (SSM) to identify service issues, data requirements, and scenarios for testing. Discrete event simulation (DES) was used to generate metrics pertaining to daily staff work load, process performance (delays) and waiting list evolution, for the current and alternative scenarios. Lessons learnt from the perspective of a clinical modeller are discussed throughout. DES model outputs illustrated the high daily variation in resource utilisation and process delays for the current service where inpatients and outpatients share a single CT scanner. Inpatient examinations were found to consume on average 23% more staff time than outpatient. For non-contrast CT scans, outpatients consumed 63% less time than inpatients. Simulation results for an outpatient-only service demonstrated higher CT and healthcare assistant utilisation, with low variation and process delays. This work recommends the separation of inpatient and outpatient CT services to address the problem of growing CT waiting lists.
摘要对计算机断层扫描(CT)和CT等待名单的需求正在增长,新冠肺炎大流行期间定期服务的推迟加剧了这一问题。在本案例中,使用了运筹学(OR)方法来调查资源利用率和CT等待名单的增长。使用系统动力学(SD)进行问题概念化和软系统方法论(SSM)来确定服务问题、数据需求和测试场景,促进了利益相关者的参与。离散事件模拟(DES)用于生成与当前和备选方案的日常员工工作量、流程绩效(延迟)和等待名单演变有关的指标。从临床建模者的角度吸取的经验教训贯穿始终。DES模型的输出表明,在住院患者和门诊患者共用一台CT扫描仪的当前服务中,资源利用率和处理延迟的每日变化很大。住院检查平均比门诊检查多消耗23%的工作人员时间。对于非对比CT扫描,门诊患者比住院患者花费的时间少63%。仅门诊服务的模拟结果表明,CT和医疗助理的利用率较高,变化和处理延迟较低。这项工作建议将住院和门诊CT服务分开,以解决CT等待名单不断增加的问题。
{"title":"Modelling a Computed Tomography service using mixed Operational Research methods","authors":"M. Conlon, O. Molloy","doi":"10.1080/17477778.2022.2152394","DOIUrl":"https://doi.org/10.1080/17477778.2022.2152394","url":null,"abstract":"ABSTRACT Demand for computed tomography (CT) and CT waiting lists are growing, a problem exacerbated by the postponement of scheduled services during the Covid-19 pandemic. In this case study operational research (OR) methods were used to investigate resource utilisation and CT waiting list growth. Stakeholder involvement was facilitated using system dynamics (SD) for problem conceptualisation and Soft Systems Methodology (SSM) to identify service issues, data requirements, and scenarios for testing. Discrete event simulation (DES) was used to generate metrics pertaining to daily staff work load, process performance (delays) and waiting list evolution, for the current and alternative scenarios. Lessons learnt from the perspective of a clinical modeller are discussed throughout. DES model outputs illustrated the high daily variation in resource utilisation and process delays for the current service where inpatients and outpatients share a single CT scanner. Inpatient examinations were found to consume on average 23% more staff time than outpatient. For non-contrast CT scans, outpatients consumed 63% less time than inpatients. Simulation results for an outpatient-only service demonstrated higher CT and healthcare assistant utilisation, with low variation and process delays. This work recommends the separation of inpatient and outpatient CT services to address the problem of growing CT waiting lists.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":"17 1","pages":"544 - 556"},"PeriodicalIF":2.5,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41714366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Simulation-based optimization for resectorization in healthcare systems 基于仿真的医疗系统切除优化
IF 2.5 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2022-12-15 DOI: 10.1080/17477778.2022.2152395
Aydin Teymourifar
{"title":"Simulation-based optimization for resectorization in healthcare systems","authors":"Aydin Teymourifar","doi":"10.1080/17477778.2022.2152395","DOIUrl":"https://doi.org/10.1080/17477778.2022.2152395","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47055321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
COVID-19 and United States Election systems: a simulation study of in-person voting in Rhode Island COVID-19与美国选举制度:罗德岛州亲自投票的模拟研究
IF 2.5 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2022-12-15 DOI: 10.1080/17477778.2022.2155258
Nicholas D. Bernardo, Bridgett A. King, Gretchen A. Macht
{"title":"COVID-19 and United States Election systems: a simulation study of in-person voting in Rhode Island","authors":"Nicholas D. Bernardo, Bridgett A. King, Gretchen A. Macht","doi":"10.1080/17477778.2022.2155258","DOIUrl":"https://doi.org/10.1080/17477778.2022.2155258","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42443294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Factors affecting the market dynamics of lithium-ion battery for electric mobility: a system dynamics perspective 影响电动出行用锂离子电池市场动态的因素:系统动力学视角
IF 2.5 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2022-12-05 DOI: 10.1080/17477778.2022.2150578
P. Bhanu, T. V. Krishna Mohan, R. Amit, Venugopal Shankar
{"title":"Factors affecting the market dynamics of lithium-ion battery for electric mobility: a system dynamics perspective","authors":"P. Bhanu, T. V. Krishna Mohan, R. Amit, Venugopal Shankar","doi":"10.1080/17477778.2022.2150578","DOIUrl":"https://doi.org/10.1080/17477778.2022.2150578","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47571684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of perceptual control theory to a Beer Game supply chain model 感知控制理论在啤酒博弈供应链模型中的应用
IF 2.5 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2022-12-04 DOI: 10.1080/17477778.2022.2147034
A. S. White, L. Brodie, M. Censlive
ABSTRACT The research investigated whether Perceptual Control Theory (PCT) can be used to model the decisions of small groups utilizing data from the Beer Game. The PCT model was tested on public and MSc data operating the Beer Game. Investigations of closed-loop behaviour determined the perceived disturbance was the controlled variable. A set of PCT Simulink models was built and their parameters adjusted to give responses comparable to the human Beer Game based on the groups’ orders alone. A few groups appear to have additionally used the backlog as input. PCT, incorporating the principle of closed loop control, does represent the human management of the Beer Game, giving an overall correlation coefficient of 0.70-0.74 obtained between the orders from a PCT model and those used in the Beer Game from 14 groups of participants and supported by minimum weighted integrals IAE and ITAE and Kolmogorov-Smirnov 2 sample tests.
摘要:本研究探讨了感知控制理论(PCT)是否可以用于利用啤酒博弈数据对小团体决策进行建模。PCT模型在运行Beer Game的公共和MSc数据上进行了测试。对闭环行为的研究确定了感知到的扰动是被控制变量。建立了一套PCT Simulink模型,并调整了它们的参数,使其能够仅根据群体的顺序给出与人类啤酒游戏相当的反应。一些小组似乎额外使用了待办事项列表作为输入。结合闭环控制原理的PCT确实代表了人类对啤酒游戏的管理,从14组参与者中获得PCT模型的订单与啤酒游戏中使用的订单之间的总体相关系数为0.70-0.74,并得到最小加权积分IAE和ITAE以及Kolmogorov-Smirnov 2样本检验的支持。
{"title":"Application of perceptual control theory to a Beer Game supply chain model","authors":"A. S. White, L. Brodie, M. Censlive","doi":"10.1080/17477778.2022.2147034","DOIUrl":"https://doi.org/10.1080/17477778.2022.2147034","url":null,"abstract":"ABSTRACT The research investigated whether Perceptual Control Theory (PCT) can be used to model the decisions of small groups utilizing data from the Beer Game. The PCT model was tested on public and MSc data operating the Beer Game. Investigations of closed-loop behaviour determined the perceived disturbance was the controlled variable. A set of PCT Simulink models was built and their parameters adjusted to give responses comparable to the human Beer Game based on the groups’ orders alone. A few groups appear to have additionally used the backlog as input. PCT, incorporating the principle of closed loop control, does represent the human management of the Beer Game, giving an overall correlation coefficient of 0.70-0.74 obtained between the orders from a PCT model and those used in the Beer Game from 14 groups of participants and supported by minimum weighted integrals IAE and ITAE and Kolmogorov-Smirnov 2 sample tests.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":"17 1","pages":"360 - 380"},"PeriodicalIF":2.5,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43301394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Journal of Simulation
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1