{"title":"均匀伯纳堆叠双/三层石墨烯的智能自校正生长","authors":"Wei Ma, Lai-Peng Ma, Xiao Kong, Han Yan, Zhibo Liu, Tiannan Han, Chao Zhu, Hui-Ming Cheng, Zheng Liu, Feng Ding, Wencai Ren","doi":"10.1073/pnas.2419968122","DOIUrl":null,"url":null,"abstract":"State-of-the-art synthesis strategies of two-dimensional (2D) materials have been designed following the nucleation-dominant pattern for structure control. However, this classical methodology fails to achieve the precise layer- and stacking-resolved growth of wafer-scale few-layer 2D materials due to its intrinsically low energy resolution. Here, we present an intelligent self-correcting method for the high-resolution growth of uniform few-layer graphene. We demonstrate the layer-resolved growth of wafer-scale bilayer and trilayer graphene (BLG and TLG) with selective Bernal stacking through spontaneous correction of the single-layer graphene film with disordered multilayer graphene islands. Theoretical calculations reveal that the self-correcting growth is driven by the stepwise energy minimization of the closed system and kinetically activated by forming a low-barrier pathway for the carbon detachment-diffusion-attachment. Such uniform Bernal-stacked BLG and TLG films show high quality with distinct quantum Hall effect being observed. Our work opens an avenue for developing an intelligent methodology to realize the precise synthesis of diverse 2D materials.","PeriodicalId":20548,"journal":{"name":"Proceedings of the National Academy of Sciences of the United States of America","volume":"10 1","pages":""},"PeriodicalIF":9.4000,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent self-correcting growth of uniform Bernal-stacked bi-/trilayer graphene\",\"authors\":\"Wei Ma, Lai-Peng Ma, Xiao Kong, Han Yan, Zhibo Liu, Tiannan Han, Chao Zhu, Hui-Ming Cheng, Zheng Liu, Feng Ding, Wencai Ren\",\"doi\":\"10.1073/pnas.2419968122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"State-of-the-art synthesis strategies of two-dimensional (2D) materials have been designed following the nucleation-dominant pattern for structure control. However, this classical methodology fails to achieve the precise layer- and stacking-resolved growth of wafer-scale few-layer 2D materials due to its intrinsically low energy resolution. Here, we present an intelligent self-correcting method for the high-resolution growth of uniform few-layer graphene. We demonstrate the layer-resolved growth of wafer-scale bilayer and trilayer graphene (BLG and TLG) with selective Bernal stacking through spontaneous correction of the single-layer graphene film with disordered multilayer graphene islands. Theoretical calculations reveal that the self-correcting growth is driven by the stepwise energy minimization of the closed system and kinetically activated by forming a low-barrier pathway for the carbon detachment-diffusion-attachment. Such uniform Bernal-stacked BLG and TLG films show high quality with distinct quantum Hall effect being observed. Our work opens an avenue for developing an intelligent methodology to realize the precise synthesis of diverse 2D materials.\",\"PeriodicalId\":20548,\"journal\":{\"name\":\"Proceedings of the National Academy of Sciences of the United States of America\",\"volume\":\"10 1\",\"pages\":\"\"},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2025-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the National Academy of Sciences of the United States of America\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1073/pnas.2419968122\",\"RegionNum\":1,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the National Academy of Sciences of the United States of America","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1073/pnas.2419968122","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Intelligent self-correcting growth of uniform Bernal-stacked bi-/trilayer graphene
State-of-the-art synthesis strategies of two-dimensional (2D) materials have been designed following the nucleation-dominant pattern for structure control. However, this classical methodology fails to achieve the precise layer- and stacking-resolved growth of wafer-scale few-layer 2D materials due to its intrinsically low energy resolution. Here, we present an intelligent self-correcting method for the high-resolution growth of uniform few-layer graphene. We demonstrate the layer-resolved growth of wafer-scale bilayer and trilayer graphene (BLG and TLG) with selective Bernal stacking through spontaneous correction of the single-layer graphene film with disordered multilayer graphene islands. Theoretical calculations reveal that the self-correcting growth is driven by the stepwise energy minimization of the closed system and kinetically activated by forming a low-barrier pathway for the carbon detachment-diffusion-attachment. Such uniform Bernal-stacked BLG and TLG films show high quality with distinct quantum Hall effect being observed. Our work opens an avenue for developing an intelligent methodology to realize the precise synthesis of diverse 2D materials.
期刊介绍:
The Proceedings of the National Academy of Sciences (PNAS), a peer-reviewed journal of the National Academy of Sciences (NAS), serves as an authoritative source for high-impact, original research across the biological, physical, and social sciences. With a global scope, the journal welcomes submissions from researchers worldwide, making it an inclusive platform for advancing scientific knowledge.