{"title":"Correction: Nonequilibrium asymmetry in the living cell membrane","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":49075,"journal":{"name":"Faraday Discussions","volume":"259 ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrea A. Konta, Michelle Duong, Joseph Sefton, Valentina Cuzzucoli Crucitti, Amy Stimpson, Sophie Goodwin, Thomas Swift, Gustavo F. Trindade, Yinfeng He, Mohamed Adam, Eleanor Binner, Laura Ruiz Cantu, Cameron Alexander, Ricky D. Wildman and Derek J. Irvine
This study reports the first systematic study investigating the potential of using hyperbranched (HB) polymers as novel materials for improving two photon polymerisation (2PP) processing. It demonstrated that HB polymer containing additive manufacturing resins can be successfully formulated and used to print: (a) mono-/multi-material structures, the latter containing monomers of different functionality (i.e., hydrophilic/hydrophobic mixes), (b) with a broader range of printing conditions, (c) to high levels of cure and (d) at faster processing speeds than monomeric resins. A printed multi-material structure was confirmed to contain both feed materials and exhibit high cure by ToF-SIMS and Raman analysis, respectively. Thus, HB polymers were shown to improve mixing in multi-functional resins and overcome 2PP chemistry restrictions. When processing with selected HB polymers, both the polymerisation “onset” and “burning” thresholds were improved compared to monomeric resins. Processing more reactive HB polymers still increased the overall processing window compared to the 2PP processing of the equivalent monomer, but the “burning” threshold was in fact lowered, which was linked to depolymerisation events. Thus, a HB polymer was subject to degradation studies and shown to produced more residual material (i.e. “char”) than linear materials, which delivers the decolourisation in 2PP “burning”. This study confirms that using HB polymers can extend the viability and utility of 2PP processing, improvements that were delivered by understanding the reactivity of these pre-polymers toward both polymerisation and depolymerisation.
{"title":"Improved 2PP additive manufacturing build/process quality via the use of hyperbranched pre-polymer","authors":"Andrea A. Konta, Michelle Duong, Joseph Sefton, Valentina Cuzzucoli Crucitti, Amy Stimpson, Sophie Goodwin, Thomas Swift, Gustavo F. Trindade, Yinfeng He, Mohamed Adam, Eleanor Binner, Laura Ruiz Cantu, Cameron Alexander, Ricky D. Wildman and Derek J. Irvine","doi":"10.1039/D5FD00097A","DOIUrl":"10.1039/D5FD00097A","url":null,"abstract":"<p >This study reports the first systematic study investigating the potential of using hyperbranched (HB) polymers as novel materials for improving two photon polymerisation (2PP) processing. It demonstrated that HB polymer containing additive manufacturing resins can be successfully formulated and used to print: (a) mono-/multi-material structures, the latter containing monomers of different functionality (<em>i.e.</em>, hydrophilic/hydrophobic mixes), (b) with a broader range of printing conditions, (c) to high levels of cure and (d) at faster processing speeds than monomeric resins. A printed multi-material structure was confirmed to contain both feed materials and exhibit high cure by ToF-SIMS and Raman analysis, respectively. Thus, HB polymers were shown to improve mixing in multi-functional resins and overcome 2PP chemistry restrictions. When processing with selected HB polymers, both the polymerisation “onset” and “burning” thresholds were improved compared to monomeric resins. Processing more reactive HB polymers still increased the overall processing window compared to the 2PP processing of the equivalent monomer, but the “burning” threshold was in fact lowered, which was linked to depolymerisation events. Thus, a HB polymer was subject to degradation studies and shown to produced more residual material (<em>i.e.</em> “char”) than linear materials, which delivers the decolourisation in 2PP “burning”. This study confirms that using HB polymers can extend the viability and utility of 2PP processing, improvements that were delivered by understanding the reactivity of these pre-polymers toward both polymerisation and depolymerisation.</p>","PeriodicalId":49075,"journal":{"name":"Faraday Discussions","volume":" 0","pages":" 327-348"},"PeriodicalIF":3.1,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2026/fd/d5fd00097a?page=search","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145135943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rigoberto Advincula, Ilia Ivanov, Rama Vasudevan, Rajeev Kumar, Panagiotis Christakopoulos, Marileta Tsakanika, Jihua Chen, Jan Michael Carillo, Qinyu Zhu and Bobby Sumpter
Creating and curating new data to augment heuristics is a forthcoming approach to materials science in the future. Highly improved properties are advantageous even with “commodity polymers” that do not need to undergo new synthesis, high-temperature processes, or extensive reformulation. With artificial intelligence and machine learning (AI/ML), optimizing synthesis and manufacturing methods will enable higher throughput and innovative directed experiments. Simulation and modeling to create digital twins with statistical and logic-derived design, such as the design of experiments (DOE), will be superior to trial-and-error approaches when working with polymer materials. This paper describes and demonstrates protocols for understanding hierarchical approaches in optimizing the polymerization and copolymerization process via AI/ML to target specific properties, using model monomers such as styrene and acrylate. The key is self-driving continuous flow chemistry reactors with sensors (instruments) and real-time ML with an online monitoring set-up that allows a feedback loop mechanism. We provide initial results using ML refinement of the classical Mayo–Lewis equation (MLE), time-series data, and an autonomous flow reactor system build-up as a future data-generating station. More importantly, it lays the ground for precision control of the copolymerization process. In the future, it should be possible to undertake collaborative human–AI-guided protocols for the autonomous fabrication of new polymers guided by literature and available data sources targeting new properties.
{"title":"Harnessing data and control with AI/ML-driven polymerization and copolymerization†","authors":"Rigoberto Advincula, Ilia Ivanov, Rama Vasudevan, Rajeev Kumar, Panagiotis Christakopoulos, Marileta Tsakanika, Jihua Chen, Jan Michael Carillo, Qinyu Zhu and Bobby Sumpter","doi":"10.1039/D5FD00066A","DOIUrl":"10.1039/D5FD00066A","url":null,"abstract":"<p >Creating and curating new data to augment heuristics is a forthcoming approach to materials science in the future. Highly improved properties are advantageous even with “commodity polymers” that do not need to undergo new synthesis, high-temperature processes, or extensive reformulation. With artificial intelligence and machine learning (AI/ML), optimizing synthesis and manufacturing methods will enable higher throughput and innovative directed experiments. Simulation and modeling to create digital twins with statistical and logic-derived design, such as the design of experiments (DOE), will be superior to trial-and-error approaches when working with polymer materials. This paper describes and demonstrates protocols for understanding hierarchical approaches in optimizing the polymerization and copolymerization process <em>via</em> AI/ML to target specific properties, using model monomers such as styrene and acrylate. The key is self-driving continuous flow chemistry reactors with sensors (instruments) and real-time ML with an online monitoring set-up that allows a feedback loop mechanism. We provide initial results using ML refinement of the classical Mayo–Lewis equation (MLE), time-series data, and an autonomous flow reactor system build-up as a future data-generating station. More importantly, it lays the ground for precision control of the copolymerization process. In the future, it should be possible to undertake collaborative human–AI-guided protocols for the autonomous fabrication of new polymers guided by literature and available data sources targeting new properties.</p>","PeriodicalId":49075,"journal":{"name":"Faraday Discussions","volume":" 0","pages":" 478-499"},"PeriodicalIF":3.1,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2026/fd/d5fd00066a?page=search","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145285082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dave J. Adams, Herdeline Ann M. Ardoña, Simona Bianco, Vincent P. Conticello, Emily R. Draper, Katharina Edkins, Karen J. Edler, Alison A. Edwards, Edward H. Egelman, Demetra Giuri, Dimitra Katrantzi, Oxana Kotova, Retheesh Krishnan, King Hang Aaron Lau, Garry Laverty, Gareth O. Lloyd, Oliver Maguire, Silvia Marchesan, Libby Marshall, Bradley L. Nilsson, Mertcan Özel, Tomasz K. Piskorz, Darrin J. Pochan, Bart Jan Ravoo, Meital Reches, Joel P. Schneider, Adam M. Squires, Andrei Stephen, Andrew R. Thomson, Tell Tuttle, Huaimin Wang and Xuehai Yan
{"title":"Characterising supramolecular gels: general discussion","authors":"Dave J. Adams, Herdeline Ann M. Ardoña, Simona Bianco, Vincent P. Conticello, Emily R. Draper, Katharina Edkins, Karen J. Edler, Alison A. Edwards, Edward H. Egelman, Demetra Giuri, Dimitra Katrantzi, Oxana Kotova, Retheesh Krishnan, King Hang Aaron Lau, Garry Laverty, Gareth O. Lloyd, Oliver Maguire, Silvia Marchesan, Libby Marshall, Bradley L. Nilsson, Mertcan Özel, Tomasz K. Piskorz, Darrin J. Pochan, Bart Jan Ravoo, Meital Reches, Joel P. Schneider, Adam M. Squires, Andrei Stephen, Andrew R. Thomson, Tell Tuttle, Huaimin Wang and Xuehai Yan","doi":"10.1039/D5FD90029H","DOIUrl":"10.1039/D5FD90029H","url":null,"abstract":"","PeriodicalId":49075,"journal":{"name":"Faraday Discussions","volume":"260 ","pages":" 145-178"},"PeriodicalIF":3.1,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144815280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dave J. Adams, Herdeline Ann M. Ardona, Vincent P. Conticello, Katharina Edkins, Karen J. Edler, Alison A. Edwards, Demetra Giuri, Thorfinnur Gunnlaugsson, Oxana Kotova, Retheesh Krishnan, King Hang Aaron Lau, Garry Laverty, Gareth O. Lloyd, Oliver Maguire, Silvia Marchesan, Libby Marshall, Aline F. Miller, Bradley L. Nilsson, Mertcan Özel, Darrin J. Pochan, Bart Jan Ravoo, Meital Reches, Joel P. Schneider, Adam M. Squires, Andrew R. Thomson, Tell Tuttle, Huaimin Wang and Xuehai Yan
{"title":"Using supramolecular gels: general discussion","authors":"Dave J. Adams, Herdeline Ann M. Ardona, Vincent P. Conticello, Katharina Edkins, Karen J. Edler, Alison A. Edwards, Demetra Giuri, Thorfinnur Gunnlaugsson, Oxana Kotova, Retheesh Krishnan, King Hang Aaron Lau, Garry Laverty, Gareth O. Lloyd, Oliver Maguire, Silvia Marchesan, Libby Marshall, Aline F. Miller, Bradley L. Nilsson, Mertcan Özel, Darrin J. Pochan, Bart Jan Ravoo, Meital Reches, Joel P. Schneider, Adam M. Squires, Andrew R. Thomson, Tell Tuttle, Huaimin Wang and Xuehai Yan","doi":"10.1039/D5FD90030A","DOIUrl":"10.1039/D5FD90030A","url":null,"abstract":"","PeriodicalId":49075,"journal":{"name":"Faraday Discussions","volume":"260 ","pages":" 235-251"},"PeriodicalIF":3.1,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144792988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dave J. Adams, Vivien Andrieux, Simona Bianco, Vince P. Conticello, Emily R. Draper, Katharina Edkins, Edward H. Egelman, Demetra Giuri, Thorrfinnur Gunnlaugsson, Oxana Kotova, Retheesh Krishnan, Gareth O. Lloyd, Oliver Maguire, Timothy McCabe, Silvia Marchesan, Libby Marshall, Bradley L. Nilsson, Andrea M. Oyarzún Aravena, Darrin J. Pochan, Bart Jan Ravoo, Joel P. Schneider, Annela Seddon, Adam M. Squires, Andrei Stephen, Andrew R. Thomson, Tell Tuttle, Huaimin Wang and Mertcan Özel
{"title":"Multicomponent systems: general discussion","authors":"Dave J. Adams, Vivien Andrieux, Simona Bianco, Vince P. Conticello, Emily R. Draper, Katharina Edkins, Edward H. Egelman, Demetra Giuri, Thorrfinnur Gunnlaugsson, Oxana Kotova, Retheesh Krishnan, Gareth O. Lloyd, Oliver Maguire, Timothy McCabe, Silvia Marchesan, Libby Marshall, Bradley L. Nilsson, Andrea M. Oyarzún Aravena, Darrin J. Pochan, Bart Jan Ravoo, Joel P. Schneider, Annela Seddon, Adam M. Squires, Andrei Stephen, Andrew R. Thomson, Tell Tuttle, Huaimin Wang and Mertcan Özel","doi":"10.1039/D5FD90032H","DOIUrl":"10.1039/D5FD90032H","url":null,"abstract":"","PeriodicalId":49075,"journal":{"name":"Faraday Discussions","volume":"260 ","pages":" 417-439"},"PeriodicalIF":3.1,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144787877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dave J. Adams, Vivien Andrieux, Simona Bianco, Vincent P. Conticello, Parthasarathi Dastidar, Emily R. Draper, Karen J. Edler, Alison A. Edwards, Demetra Giuri, Thorfinnur Gunnlaugsson, Loïc Jierry, Oxana Kotova, Retheesh Krishnan, Garry Laverty, Gareth O. Lloyd, Oliver Maguire, Libby Marshall, Aline F. Miller, Bradley L. Nilsson, Tomasz K. Piskorz, Darrin J. Pochan, Raj Kumar Rajaram Baskaran, Bart Jan Ravoo, Andrew R. Thomson, Tell Tuttle and Xuehai Yan
{"title":"Design of gelling systems: general discussion","authors":"Dave J. Adams, Vivien Andrieux, Simona Bianco, Vincent P. Conticello, Parthasarathi Dastidar, Emily R. Draper, Karen J. Edler, Alison A. Edwards, Demetra Giuri, Thorfinnur Gunnlaugsson, Loïc Jierry, Oxana Kotova, Retheesh Krishnan, Garry Laverty, Gareth O. Lloyd, Oliver Maguire, Libby Marshall, Aline F. Miller, Bradley L. Nilsson, Tomasz K. Piskorz, Darrin J. Pochan, Raj Kumar Rajaram Baskaran, Bart Jan Ravoo, Andrew R. Thomson, Tell Tuttle and Xuehai Yan","doi":"10.1039/D5FD90031J","DOIUrl":"10.1039/D5FD90031J","url":null,"abstract":"","PeriodicalId":49075,"journal":{"name":"Faraday Discussions","volume":"260 ","pages":" 328-346"},"PeriodicalIF":3.1,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144787876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Francisco Barerra, Manuel Bibrowski, John Conboy, Niclas Paul Decker, Markus Deserno, Rumiana Dimova, Milka Doktorova, Thais Enoki, Oded Farago, Gerald W. Feigenson, Alexander P. Fellows, Gonen Golani, Carlo Guardiani, Heiko Heerklotz, Shinako Kakuda, Neha P. Kamat, Manpreet Kaur, Sarabjeet Kaur, Michael M. Kozlov, Kandice R. Levental, Ilya Levental, Reinhard Lipowsky, Erwin London, Joseph Lorent, Edward Lyman, Madan Rao, Tyler Reagle, Raya Sorkin, Malavika Varma and Axel Voigt
{"title":"Plasma membrane asymmetry and lipid homeostasis: general discussion","authors":"Francisco Barerra, Manuel Bibrowski, John Conboy, Niclas Paul Decker, Markus Deserno, Rumiana Dimova, Milka Doktorova, Thais Enoki, Oded Farago, Gerald W. Feigenson, Alexander P. Fellows, Gonen Golani, Carlo Guardiani, Heiko Heerklotz, Shinako Kakuda, Neha P. Kamat, Manpreet Kaur, Sarabjeet Kaur, Michael M. Kozlov, Kandice R. Levental, Ilya Levental, Reinhard Lipowsky, Erwin London, Joseph Lorent, Edward Lyman, Madan Rao, Tyler Reagle, Raya Sorkin, Malavika Varma and Axel Voigt","doi":"10.1039/D5FD90018B","DOIUrl":"10.1039/D5FD90018B","url":null,"abstract":"","PeriodicalId":49075,"journal":{"name":"Faraday Discussions","volume":"259 ","pages":" 84-106"},"PeriodicalIF":3.1,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144774352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Brooke Wain, Gustavo P. Borin, Elaine M. Rudge, Benjamin Moore, Bruce R. Lichtenstein, Andrew R. Pickford and Victoria L. Bemmer
Plastics are ubiquitous in modern society; however, their disposal at end-of-life remains challenging. Enzymatic recycling offers a potential low-energy solution to recycling poly(ethylene terephthalate) (PET); however, high-crystallinity substrates such as polyester textiles are recalcitrant to enzymatic hydrolysis. Current amorphisation pretreatments yield substrates amenable to enzymatic digestion; however, they account for a significant percentage of all process electricity requirements. Here we investigate dissolution–reprecipitation with the green solvents gamma-valerolactone and 2-isopropylphenol as a lower-energy pretreatment regime. We find that whilst there is only a minimal decrease in substrate crystallinity, activity of the benchmark PET hydrolase LCCICCG is increased on all solvent-treated substrates. We show that GVL negatively impacts the thermostability of LCCICCG, and both solvents dramatically decrease enzyme activity, from concentrations as low as 4%, highlighting the need for effective solvent removal following pretreatment. Finally, we show that IPP and GVL are effective for the removal of synthetic dyes from polyester textiles, enabling new applications for these solvents in PET recycling.
{"title":"Is solvent-based dissolution and precipitation an effective substrate pretreatment for the enzymatic depolymerisation of poly(ethylene terephthalate)?","authors":"Brooke Wain, Gustavo P. Borin, Elaine M. Rudge, Benjamin Moore, Bruce R. Lichtenstein, Andrew R. Pickford and Victoria L. Bemmer","doi":"10.1039/D5FD00061K","DOIUrl":"10.1039/D5FD00061K","url":null,"abstract":"<p >Plastics are ubiquitous in modern society; however, their disposal at end-of-life remains challenging. Enzymatic recycling offers a potential low-energy solution to recycling poly(ethylene terephthalate) (PET); however, high-crystallinity substrates such as polyester textiles are recalcitrant to enzymatic hydrolysis. Current amorphisation pretreatments yield substrates amenable to enzymatic digestion; however, they account for a significant percentage of all process electricity requirements. Here we investigate dissolution–reprecipitation with the green solvents gamma-valerolactone and 2-isopropylphenol as a lower-energy pretreatment regime. We find that whilst there is only a minimal decrease in substrate crystallinity, activity of the benchmark PET hydrolase LCC<small><sup>ICCG</sup></small> is increased on all solvent-treated substrates. We show that GVL negatively impacts the thermostability of LCC<small><sup>ICCG</sup></small>, and both solvents dramatically decrease enzyme activity, from concentrations as low as 4%, highlighting the need for effective solvent removal following pretreatment. Finally, we show that IPP and GVL are effective for the removal of synthetic dyes from polyester textiles, enabling new applications for these solvents in PET recycling.</p>","PeriodicalId":49075,"journal":{"name":"Faraday Discussions","volume":" 0","pages":" 367-384"},"PeriodicalIF":3.1,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12486811/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145197553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Francisco Barrera, Manuel Bibrowski, John C. Conboy, Aileen Cooney, Markus Deserno, Rumiana Dimova, Milka Doktorova, Thais A. Enoki, Oded Farago, Alexander P. Fellows, Arne Gericke, Alberto Giacomello, Felix M. Goni, Heiko Heerklotz, Ben John, Neha P. Kamat, Michael M. Kozlov, Reinhard Lipowsky, Erwin London, Joseph H. Lorent, Ioanna Mela, Walter Nickel, Georg Pabst, Tyler Reagle, Karin Riske, Raya Sorkin, Tsu-Wang Sun and Martin E. Villanueva
{"title":"Engineering plasma membrane mimics: general discussion","authors":"Francisco Barrera, Manuel Bibrowski, John C. Conboy, Aileen Cooney, Markus Deserno, Rumiana Dimova, Milka Doktorova, Thais A. Enoki, Oded Farago, Alexander P. Fellows, Arne Gericke, Alberto Giacomello, Felix M. Goni, Heiko Heerklotz, Ben John, Neha P. Kamat, Michael M. Kozlov, Reinhard Lipowsky, Erwin London, Joseph H. Lorent, Ioanna Mela, Walter Nickel, Georg Pabst, Tyler Reagle, Karin Riske, Raya Sorkin, Tsu-Wang Sun and Martin E. Villanueva","doi":"10.1039/D5FD90019K","DOIUrl":"10.1039/D5FD90019K","url":null,"abstract":"","PeriodicalId":49075,"journal":{"name":"Faraday Discussions","volume":"259 ","pages":" 182-199"},"PeriodicalIF":3.1,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144758766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}