Farshad Moayedi, A. Chandrasekar, Sarah Rasmussen, S. Sarna, Brandon Corbett, P. Mhaskar
{"title":"Physics-Informed Neural Networks for Process Systems: Handling Plant-Model Mismatch","authors":"Farshad Moayedi, A. Chandrasekar, Sarah Rasmussen, S. Sarna, Brandon Corbett, P. Mhaskar","doi":"10.1021/acs.iecr.4c00690","DOIUrl":"https://doi.org/10.1021/acs.iecr.4c00690","url":null,"abstract":"","PeriodicalId":13650,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141813477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lauren A. Gibson, Fei F. Liu, Thomas J. Harris, Kimberley B. McAuley
{"title":"Simple Method for Incorporating Prior Parameter Information during Model-Based D-Optimal Design of Experiments for Multi-Response Chemical Process Models","authors":"Lauren A. Gibson, Fei F. Liu, Thomas J. Harris, Kimberley B. McAuley","doi":"10.1021/acs.iecr.3c04058","DOIUrl":"https://doi.org/10.1021/acs.iecr.3c04058","url":null,"abstract":"","PeriodicalId":13650,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141267866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Preface for the Jim Yang Lee Festschrift","authors":"","doi":"10.1021/acs.iecr.2c01758","DOIUrl":"https://doi.org/10.1021/acs.iecr.2c01758","url":null,"abstract":"","PeriodicalId":13650,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79126740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. T. Yaraki, Shima Zahed Nasab, Iman Zare, Mohammad Dahri, Mohammad Moein Sadeghi, Maedeh Koohi, Y. Tan
{"title":"Biomimetic Metallic Nanostructures for Biomedical Applications, Catalysis, and Beyond","authors":"M. T. Yaraki, Shima Zahed Nasab, Iman Zare, Mohammad Dahri, Mohammad Moein Sadeghi, Maedeh Koohi, Y. Tan","doi":"10.1021/acs.iecr.2c00285","DOIUrl":"https://doi.org/10.1021/acs.iecr.2c00285","url":null,"abstract":"","PeriodicalId":13650,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75151461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qing Zeng, Jing Song, Penglei Cui, Hui Liu, L. Tian, Dong Chen, Jun Yang
{"title":"Optimizing Lattice Strain and Electron Effect of Ultrathin Platinum Nanoshells through Core–Shell Construction toward Superior Electrocatalytic Hydrogen Evolution","authors":"Qing Zeng, Jing Song, Penglei Cui, Hui Liu, L. Tian, Dong Chen, Jun Yang","doi":"10.1021/acs.iecr.1c04793","DOIUrl":"https://doi.org/10.1021/acs.iecr.1c04793","url":null,"abstract":"","PeriodicalId":13650,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84733285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Opening the Toolbox: 18 Experimental Techniques for Measurement of Mixed Gas Adsorption","authors":"M. Bülow","doi":"10.1021/acs.iecr.1c03756.s001","DOIUrl":"https://doi.org/10.1021/acs.iecr.1c03756.s001","url":null,"abstract":": Adsorption separation systems o ff er the possibility to replace or augment legacy separation systems with more e ffi cient processes, resulting in enormous savings in energy. However, adsorption systems are not as easily evaluated as possible unit operations in process simulation software compared to distillation or absorption columns. The lack of ability to predict adsorption of gas mixtures represents a persistent barrier holding back implementation of adsorption separations. This shortcoming is the result of an equally persistent de fi ciency in the ability to measure adsorption of gas mixtures, despite the huge variety of existing methods to measure mixture adsorption. This work presents a comprehensive overview of 18 techniques used to measure mixture adsorption, including the equipment and principles used in each method as well as the strengths and shortcomings of each technique. This work also provides recommendations for which methods may best suit the individual needs of experimentalists interested in measuring mixture adsorption and includes an outlook on the future of mixture adsorption measurement.","PeriodicalId":13650,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85128006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}