International Transactions in Operational Research最新文献

英文中文

Analyzing changes in EU social inclusion using the global Malmquist productivity index 利用全球马尔奎斯特生产力指数分析欧盟社会包容性的变化

IF 3.1 4区管理学 Q2 MANAGEMENT

International Transactions in Operational Research

Pub Date : 2024-08-21 DOI: 10.1111/itor.13519

Giannis Karagiannis, Panagiotis Ravanos

In this paper, we use the global and the biennial Malmquist productivity indices for the Inverted Benefit‐of‐the‐Doubt model to analyze changes in EU social inclusion using data for the period 2011–2020. Our empirical results indicate that relatively more progress took place in EU social inclusion during the period 2015–2020, compared to the period 2011–2015. In addition, in the period 2011–2015, these improvements were possible mainly through the effect of efficiency change, while in the period 2015–2020, the main source of progress was the effect of the best‐practice change. In addition, we found that the “older” Member States achieved slightly faster progress rates, compared to the “new” Member States in the period 2011–2015, while the opposite was true for the period 2015–2020.

在本文中，我们使用倒置收益模型的全球和两年期马尔基斯特生产力指数，利用 2011-2020 年期间的数据分析了欧盟社会包容性的变化。我们的实证结果表明，与 2011-2015 年期间相比，2015-2020 年期间欧盟的社会包容性取得了相对更大的进步。此外，在 2011-2015 年期间，这些进步主要是通过效率变革的影响实现的，而在 2015-2020 年期间，进步的主要来源是最佳实践变革的影响。此外，我们还发现，在 2011-2015 年期间，"老 "会员国的进展速度略快于 "新 "会员国，而在 2015-2020 年期间则相反。

引用次数: 0

Special issue on “Multiple Criteria Decision Making for Sustainable Development Goals (SDGs)” 关于 "可持续发展目标（SDGs）的多重标准决策 "的特刊

IF 3.1 4区管理学 Q2 MANAGEMENT

International Transactions in Operational Research

Pub Date : 2024-08-06 DOI: 10.1111/itor.13509

Davide La Torre, Hatem Masri, Constantin Zopounidis

引用次数: 0

Special Issue on “Optimizing Port and Maritime Logistics: Advances for Sustainable and Efficient Operations” 特刊 "优化港口和海运物流：可持续高效运营的进展"

IF 3.1 4区管理学 Q2 MANAGEMENT

International Transactions in Operational Research

Pub Date : 2024-08-06 DOI: 10.1111/itor.13508

引用次数: 0

Preface to the Special Issue on Metaheuristics: Recent Advances and Applications 元搜索特刊序言：最新进展与应用

IF 3.1 4区管理学 Q2 MANAGEMENT

International Transactions in Operational Research

Pub Date : 2024-08-06 DOI: 10.1111/itor.13510

Paola Festa, Luca Di Gaspero, Mario Pavone, Mauricio G. C. Resende

We are pleased to present this special issue of International Transactions in Operational Research, which showcases the latest advancements in metaheuristics, as presented at the Metaheuristics International Conference (MIC 2022). This conference was held in the beautiful city of Syracuse, in Sicily, Italy, on July 11–14, 2022. The collection of papers in this issue reflects the breadth and depth of current research efforts, demonstrating both algorithmic innovation and practical applications.

This volume consists of ten papers, some of which were presented at the conference and some that were not. Together, they represent a significant contribution to the field of metaheuristics and operational research.

The papers cover a wide range of topics, including advances in quantum-inspired optimization, hybrid approaches for healthcare logistics, and bi-objective job shop scheduling with energy constraints. Other contributions focus on enhancing local search algorithms within the MOEA/D framework, applying adaptive iterated local search to location problems, and addressing the multi-objective traveling salesman–repairman problem with profits.

Further contributions explore iterated greedy algorithms for the obnoxious p-median problem, comparing QUBO models for quantum annealing, variable neighborhood search methodologies for the median location problem, and metaheuristics for flexible flow-shop scheduling with s-batching machines.

This special issue represents a significant contribution to the field of metaheuristics and operational research. We hope that the insights and innovations presented herein will inspire further research and development, driving advancements in both theory and practice.

We extend our gratitude to the authors for their outstanding contributions and to the reviewers for their meticulous evaluations. Together, they have ensured the high quality of this special issue.

我们很高兴为《国际运筹学论文集》（International Transactions in Operational Research）出版这本特刊，它展示了元启发式国际会议（MIC 2022）上发表的元启发式研究的最新进展。此次会议于 2022 年 7 月 11-14 日在意大利西西里岛美丽的锡拉库扎举行。本期论文集反映了当前研究工作的广度和深度，展示了算法创新和实际应用。这些论文涵盖了广泛的主题，包括量子启发优化的进展、医疗物流的混合方法以及具有能源约束的双目标作业车间调度。其他论文侧重于在 MOEA/D 框架内增强局部搜索算法，将自适应迭代局部搜索应用于位置问题，以及解决多目标旅行推销员-修理工利润问题。此外，本特刊还探讨了令人厌恶的 p 中值问题的迭代贪婪算法、量子退火的 QUBO 模型比较、中值位置问题的可变邻域搜索方法，以及使用 s 批处理机器的灵活流动车间调度的元启发式。我们希望本特刊中提出的见解和创新能激发进一步的研究和发展，推动理论和实践的进步。我们对作者的杰出贡献和审稿人的细致评估表示感谢。我们对作者们的杰出贡献和审稿人的细致评估表示感谢，他们共同确保了本特刊的高质量。

{"title":"Preface to the Special Issue on Metaheuristics: Recent Advances and Applications","authors":"Paola Festa, Luca Di Gaspero, Mario Pavone, Mauricio G. C. Resende","doi":"10.1111/itor.13510","DOIUrl":"10.1111/itor.13510","url":null,"abstract":"We are pleased to present this special issue of International Transactions in Operational Research, which showcases the latest advancements in metaheuristics, as presented at the Metaheuristics International Conference (MIC 2022). This conference was held in the beautiful city of Syracuse, in Sicily, Italy, on July 11–14, 2022. The collection of papers in this issue reflects the breadth and depth of current research efforts, demonstrating both algorithmic innovation and practical applications.This volume consists of ten papers, some of which were presented at the conference and some that were not. Together, they represent a significant contribution to the field of metaheuristics and operational research.The papers cover a wide range of topics, including advances in quantum-inspired optimization, hybrid approaches for healthcare logistics, and bi-objective job shop scheduling with energy constraints. Other contributions focus on enhancing local search algorithms within the MOEA/D framework, applying adaptive iterated local search to location problems, and addressing the multi-objective traveling salesman–repairman problem with profits.Further contributions explore iterated greedy algorithms for the obnoxious p-median problem, comparing QUBO models for quantum annealing, variable neighborhood search methodologies for the median location problem, and metaheuristics for flexible flow-shop scheduling with s-batching machines.This special issue represents a significant contribution to the field of metaheuristics and operational research. We hope that the insights and innovations presented herein will inspire further research and development, driving advancements in both theory and practice.We extend our gratitude to the authors for their outstanding contributions and to the reviewers for their meticulous evaluations. Together, they have ensured the high quality of this special issue.","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"32 1","pages":"5"},"PeriodicalIF":3.1,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/itor.13510","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141936173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Special Issue on “Managing Supply Chain Resilience in the Digital Economy Era” 数字经济时代的供应链复原力管理 "特刊

IF 3.1 4区管理学 Q2 MANAGEMENT

International Transactions in Operational Research

Pub Date : 2024-08-06 DOI: 10.1111/itor.13506

引用次数: 0

Special Issue on “Sharing Platforms for Sustainability: Exploring Strategies, Trade-offs, and Applications” 可持续性共享平台 "特刊：探索战略、权衡和应用"

IF 3.1 4区管理学 Q2 MANAGEMENT

International Transactions in Operational Research

Pub Date : 2024-08-06 DOI: 10.1111/itor.13507

引用次数: 0

A robust optimisation approach for the placement of forest fire suppression resources 森林灭火资源布置的稳健优化方法

IF 3.1 4区管理学 Q2 MANAGEMENT

International Transactions in Operational Research

Pub Date : 2024-08-05 DOI: 10.1111/itor.13524

André Bergsten Mendes, Filipe Pereira e Alvelos

This research develops an initial attack plan for combating forest fires in any wildland areas susceptible to fire outbreaks. To be eligible for such a plan, the landscape must have been previously mapped and modelled concerning spatial and topographic data and fuel levels. Thus, when ignition occurs, one can predict the expected fire behaviour in terms of spread direction and rate of spread. With such information, decisions can be taken on where and when to position the suppression resources. This paper extends a recent contribution to this subject, generalising each node's resource requirement, allowing a more precise modelling of non‐homogeneous landscapes. Moreover, we treat the cases where the estimated number of resources may not be sufficient to deal with the fire intensity, which becomes revealed only at the fire scene. In such cases, additional resources may be needed to contain the fire effectively. This worst‐case approach is modelled with the support of the robust optimisation paradigm. We propose a deterministic mathematical programming model, a robust optimisation counterpart, and a robust tabu search (RoTS) algorithm. We adapt instances from the literature, which are optimally solved by a commercial solver and used for assessing the quality of the RoTS. The proposed algorithm could optimally solve 94 of 96 instances. Finally, we conducted a Monte Carlo simulation as part of a risk analysis assessment of the generated solutions.

这项研究为在任何容易爆发火灾的荒地地区扑灭森林火灾制定了初始攻击计划。要制定这样的计划，必须事先绘制地形图，并对空间和地形数据以及燃料水平进行建模。这样，当发生火灾时，就可以预测火灾在蔓延方向和蔓延速度方面的预期行为。有了这些信息，就可以决定在何时何地部署灭火资源。本文扩展了最近对这一主题的贡献，概括了每个节点的资源需求，从而可以更精确地模拟非均质地貌。此外，我们还讨论了估计的资源数量可能不足以应对火灾强度的情况，因为火灾强度只有在火灾现场才会显现出来。在这种情况下，可能需要额外的资源来有效控制火势。在稳健优化范例的支持下，我们对这种最坏情况下的方法进行了建模。我们提出了一个确定性数学编程模型、一个稳健优化对应模型和一个稳健塔布搜索（RoTS）算法。我们调整了文献中的实例，由商业求解器进行优化求解，并用于评估 RoTS 的质量。在 96 个实例中，所提出的算法可以优化解决 94 个。最后，我们进行了蒙特卡罗模拟，作为对生成的解决方案进行风险分析评估的一部分。

{"title":"A robust optimisation approach for the placement of forest fire suppression resources","authors":"André Bergsten Mendes, Filipe Pereira e Alvelos","doi":"10.1111/itor.13524","DOIUrl":"https://doi.org/10.1111/itor.13524","url":null,"abstract":"This research develops an initial attack plan for combating forest fires in any wildland areas susceptible to fire outbreaks. To be eligible for such a plan, the landscape must have been previously mapped and modelled concerning spatial and topographic data and fuel levels. Thus, when ignition occurs, one can predict the expected fire behaviour in terms of spread direction and rate of spread. With such information, decisions can be taken on where and when to position the suppression resources. This paper extends a recent contribution to this subject, generalising each node's resource requirement, allowing a more precise modelling of non‐homogeneous landscapes. Moreover, we treat the cases where the estimated number of resources may not be sufficient to deal with the fire intensity, which becomes revealed only at the fire scene. In such cases, additional resources may be needed to contain the fire effectively. This worst‐case approach is modelled with the support of the robust optimisation paradigm. We propose a deterministic mathematical programming model, a robust optimisation counterpart, and a robust tabu search (RoTS) algorithm. We adapt instances from the literature, which are optimally solved by a commercial solver and used for assessing the quality of the RoTS. The proposed algorithm could optimally solve 94 of 96 instances. Finally, we conducted a Monte Carlo simulation as part of a risk analysis assessment of the generated solutions.","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"256 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141936172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A multi‐objective sustainable closed‐loop supply chain network problem with hybrid facilities 具有混合设施的多目标可持续闭环供应链网络问题

IF 3.1 4区管理学 Q2 MANAGEMENT

International Transactions in Operational Research

Pub Date : 2024-08-05 DOI: 10.1111/itor.13523

Joel‐Novi Rodríguez‐Escoto, Elias Olivares‐Benitez, Samuel Nucamendi‐Guillén, Julie Drzymalski

A sustainable closed‐loop supply chain network requires conjunctive implementation of reverse logistics in the supply chain, with decisions that consider economic, environmental, and social factors. In real life, the problem needs to be addressed by prioritizing targets or interacting between them to give a range of solutions to the decision maker. In this context, this work proposes a novel multi‐objective sustainable closed‐loop supply chain network problem based on the revised network design model with hybrid recovery centers minimizing (1) the total economic cost, (2) the CO2 emission of vehicles used, and (3) the total obnoxious distance. The latter objective is a novel implementation of the social dimension of a sustainable model. A sensitivity analysis of the multi‐objective model is developed through ANOVA. A dataset of instances was generated to test the model and the solution methods, which are configured with AUGMECON2, a linear programming relaxation implemented to improve the CPU time, and AUGMECON2‐EXTENDED to obtain more solutions to avoid exploring all space of the solution. The results show that an AUGMECON2‐EXTENDED implementation outperforms all the selected performance metrics. These performance metrics include NPS, CPU time, RPOS, QM, and HV. The results show an improvement on average of at least , , , , and , respectively, in those metrics, in comparison to other implementations.

可持续发展的闭环供应链网络要求在供应链中结合实施逆向物流，并在决策时考虑经济、环境和社会因素。在现实生活中，需要通过确定目标的优先次序或目标之间的相互作用来解决问题，从而为决策者提供一系列解决方案。在此背景下，本研究提出了一个新颖的多目标可持续闭环供应链网络问题，该问题基于混合回收中心的修正网络设计模型，最小化（1）总经济成本，（2）所用车辆的二氧化碳排放量，以及（3）总厌恶距离。后一个目标是对可持续模式的社会维度的新颖实现。通过方差分析对多目标模型进行了敏感性分析。为了测试模型和求解方法，我们生成了一个实例数据集，并配置了 AUGMECON2 和 AUGMECON2-EXTENDED，其中 AUGMECON2 是一种线性规划松弛方法，用于改善 CPU 时间，而 AUGMECON2-EXTENDED 则用于获取更多的解，以避免探索所有解的空间。结果表明，AUGMECON2-EXTENDED 实现优于所有选定的性能指标。这些性能指标包括 NPS、CPU 时间、RPOS、QM 和 HV。结果表明，与其他实现相比，AUGMECON2-EXTENDED 在这些指标上的平均改进至少分别为、、和。

{"title":"A multi‐objective sustainable closed‐loop supply chain network problem with hybrid facilities","authors":"Joel‐Novi Rodríguez‐Escoto, Elias Olivares‐Benitez, Samuel Nucamendi‐Guillén, Julie Drzymalski","doi":"10.1111/itor.13523","DOIUrl":"https://doi.org/10.1111/itor.13523","url":null,"abstract":"A sustainable closed‐loop supply chain network requires conjunctive implementation of reverse logistics in the supply chain, with decisions that consider economic, environmental, and social factors. In real life, the problem needs to be addressed by prioritizing targets or interacting between them to give a range of solutions to the decision maker. In this context, this work proposes a novel multi‐objective sustainable closed‐loop supply chain network problem based on the revised network design model with hybrid recovery centers minimizing (1) the total economic cost, (2) the CO2 emission of vehicles used, and (3) the total obnoxious distance. The latter objective is a novel implementation of the social dimension of a sustainable model. A sensitivity analysis of the multi‐objective model is developed through ANOVA. A dataset of instances was generated to test the model and the solution methods, which are configured with AUGMECON2, a linear programming relaxation implemented to improve the CPU time, and AUGMECON2‐EXTENDED to obtain more solutions to avoid exploring all space of the solution. The results show that an AUGMECON2‐EXTENDED implementation outperforms all the selected performance metrics. These performance metrics include NPS, CPU time, RPOS, QM, and HV. The results show an improvement on average of at least , , , , and , respectively, in those metrics, in comparison to other implementations.","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"41 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141936176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unlocking university efficiency: a Bayesian stochastic frontier analysis 提高大学效率：贝叶斯随机前沿分析

IF 3.1 4区管理学 Q2 MANAGEMENT

International Transactions in Operational Research

Pub Date : 2024-08-05 DOI: 10.1111/itor.13525

Zaira García‐Tórtola, David Conesa, Joan Crespo, Emili Tortosa‐Ausina

In this paper, we analyze the performance of the Spanish public university system over the 2010–2019 period, which was particularly turbulent due to the tight budget constraints imposed on universities. To disentangle the main sources of performance change, we adopt a dynamic approach by decomposing it into efficiency change (catching up) and technical change (shifts in the frontier). In contrast to many studies on higher education institutions (HEIs), we opt for stochastic frontier analysis, employing the ray production function proposed by Löthgren (1997) to account for the multiple‐output nature of HEIs. Additionally, to offer a more detailed examination of uncertainty quantification, we conduct inference within the Bayesian paradigm. Broadly, results point to an overall positive performance change over the entire period, particularly for technical change during 2010–2014. However, there were notable discrepancies across universities, which could be unlocked with certain precision via the posterior distributions of performance and its components.

在本文中，我们分析了西班牙公立大学系统在 2010-2019 年期间的表现，这一时期由于大学预算紧张而特别动荡。为了厘清绩效变化的主要来源，我们采用了一种动态方法，将其分解为效率变化（赶超）和技术变化（前沿变化）。与许多关于高等教育机构（HEIs）的研究不同，我们选择了随机前沿分析，采用了 Löthgren（1997 年）提出的射线生产函数来解释高等教育机构的多产出性质。此外，为了对不确定性量化进行更详细的研究，我们在贝叶斯范式中进行了推理。总体而言，研究结果表明，在整个期间，特别是在 2010-2014 年期间的技术变革方面，绩效总体呈正向变化。然而，各大学之间存在显著差异，这可以通过绩效及其组成部分的后验分布得到一定的精确度。

引用次数: 0

Inventory rationing, admission control, and production capacity allocation in a make‐to‐stock/make‐to‐order manufacturing system 按库存生产/按订单生产制造系统中的库存配给、入场控制和生产能力分配

IF 3.1 4区管理学 Q2 MANAGEMENT

International Transactions in Operational Research

Pub Date : 2024-07-31 DOI: 10.1111/itor.13521

Eungab Kim

This paper considers a manufacturing system in which products are produced in both make‐to‐stock (MTS) and make‐to‐order (MTO) modes. Production of MTS and MTO products is done in batches, incurs a setup cost, and is non‐preemptive. The inventory of MTS products fulfills the demand of multiple classes, and each class demand can be satisfied or rejected. Customer orders for MTO production can be accepted or rejected, and their size is the same as the production batch. The primary goal of this paper is to study a policy that coordinates inventory rationing, admission control, and production capacity allocation to maximize the system's profit. We formulate the problem as a Markov decision process model and identify the structure of optimal control policies. We investigate the effect of inventory rationing on the profit by comparing its performance to that of the system with a first‐come‐ first‐serve policy to allocate inventory to multiple demand classes and study the extent to which the benefit of inventory rationing can be affected by system parameter changes. We also propose a heuristic that manages control decisions from linear threshold functions. Our test results from numerical examples show that the average percentage difference between the optimal and heuristic policies is within 1.2%.

本文研究了一个制造系统，在该系统中，产品以按库存生产（MTS）和按订单生产（MTO）两种模式进行生产。MTS 和 MTO 产品的生产是分批进行的，会产生设置成本，并且是非抢先生产。MTS 产品的库存可满足多个类别的需求，每个类别的需求都可以满足或拒绝。MTO 生产的客户订单可以接受或拒绝，其规模与生产批量相同。本文的主要目标是研究一种协调库存配给、入场控制和生产能力分配的策略，以实现系统利润最大化。我们将问题表述为马尔可夫决策过程模型，并确定了最优控制政策的结构。我们通过比较库存配给与采用先到先得政策为多个需求类别分配库存的系统的性能，研究了库存配给对利润的影响，并研究了系统参数变化对库存配给效益的影响程度。我们还提出了一种启发式方法，可根据线性阈值函数管理控制决策。我们从数字实例中得出的测试结果表明，最优策略和启发式策略之间的平均百分比差异在 1.2% 以内。

{"title":"Inventory rationing, admission control, and production capacity allocation in a make‐to‐stock/make‐to‐order manufacturing system","authors":"Eungab Kim","doi":"10.1111/itor.13521","DOIUrl":"https://doi.org/10.1111/itor.13521","url":null,"abstract":"This paper considers a manufacturing system in which products are produced in both make‐to‐stock (MTS) and make‐to‐order (MTO) modes. Production of MTS and MTO products is done in batches, incurs a setup cost, and is non‐preemptive. The inventory of MTS products fulfills the demand of multiple classes, and each class demand can be satisfied or rejected. Customer orders for MTO production can be accepted or rejected, and their size is the same as the production batch. The primary goal of this paper is to study a policy that coordinates inventory rationing, admission control, and production capacity allocation to maximize the system's profit. We formulate the problem as a Markov decision process model and identify the structure of optimal control policies. We investigate the effect of inventory rationing on the profit by comparing its performance to that of the system with a first‐come‐ first‐serve policy to allocate inventory to multiple demand classes and study the extent to which the benefit of inventory rationing can be affected by system parameter changes. We also propose a heuristic that manages control decisions from linear threshold functions. Our test results from numerical examples show that the average percentage difference between the optimal and heuristic policies is within 1.2%.","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"44 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141863722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

首页上一页

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

International Transactions in Operational Research

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.

﹀