Article
Chemistry, Multidisciplinary
Anna Kuzmina, Markus Parzefall, Patrick Back, Takashi Taniguchi, Kenji Watanabe, Achint Jain, Lukas Novotny
Summary: By controlled stacking of graphene layers, the limitation of single-layer graphene as a material for light-emitting devices has been overcome, enabling twist-controlled resonant light emission. Experimental findings show light emission irrespective of the crystallographic alignment between the graphene electrodes, with a spectrally tunable resonant peak in the near-infrared range.
Article
Chemistry, Multidisciplinary
Alexander Mehler, Nicolas Neel, Elena Voloshina, Yuriy Dedkov, Jorg Kroger
Summary: The study demonstrates the growth of graphene on h-BN through thermal decomposition and catalytic assistance of metal substrates, as well as the epitaxial growth of h-BN on Pt(111). Different honeycomb structures of graphene on h-BN and the observation of distinct superstructures at small probe-surface distances are highlighted in this study.
Article
Chemistry, Multidisciplinary
Khadiza Ali, Laura Fernandez, Mohammad A. Kherelden, Anna A. Makarova, Igor Pis, Federica Bondino, James Lawrence, Dimas G. de Oteyza, Dmitry Yu. Usachov, Denis V. Vyalikh, F. Javier Garcia de Abajo, Zakaria M. Abd El-Fattah, J. Enrique Ortega, Frederik Schiller
Summary: This study demonstrates a method for synthesizing nanostriped hBN with periodic texture on Rh surfaces, which is achieved for the first time by imprinting lateral patterns from a one-dimensional template. The electronic structure reveals nanoscale periodic modulation, creating an effective multi-stripe semiconductor structure.
Article
Chemistry, Multidisciplinary
Caleb Z. Zerger, Linsey K. Rodenbach, Yi-Ting Chen, Benjamin Safvati, Morgan Z. Brubaker, Steven Tran, Tse-An Chen, Ming-Yang Li, Lain-Jong Li, David Goldhaber-Gordon, Hari C. Manoharan
Summary: This research demonstrates that the Cu(111) surface state under wafer-scale hBN is homogeneous in energy and spectral weight over nanometer length scales and across atomic terraces. However, a new spectral feature that is not observed on bare Cu(111) varies with atomic registry and shares the spatial periodicity of the hBN/Cu(111) moire.
Article
Nanoscience & Nanotechnology
Chengxin Jiang, Lingxiu Chen, Huishan Wang, Chen Chen, Xiujun Wang, Ziqiang Kong, Yibo Wang, Haomin Wang, Xiaoming Xie
Summary: Graphene on hexagonal boron nitride (h-BN) demonstrates excellent electrical properties, which are affected by its domain size and boundaries. Chemical vapor deposition (CVD) is a hopeful method for large graphene crystal growth, but increasing the coverage of monolayer graphene on h-BN remains a challenge due to weak control of nucleation and vertical growth. In this study, an auxiliary source strategy using silicon carbide and methyl methacrylate is adopted to enhance graphene nucleation density and achieve continuous graphene films on h-BN. By optimizing the growth temperature, vertical accumulation of graphitic materials can be suppressed. This work provides an effective approach for preparing continuous graphene film on h-BN and offers insights for the growth of high-quality graphene.
Article
Chemistry, Multidisciplinary
Adrian Hemmi, Ari Paavo Seitsonen, Thomas Greber, Huanyao Cun
Summary: The production of high-quality hexagonal boron nitride (h-BN) is crucial for 2D materials-based devices, and excluding carbon during the process is important to prevent the formation of graphene. Surface reaction-assisted conversion from h-BN to graphene can be achieved through high-temperature treatments.
Article
Chemistry, Physical
E. Magnano, S. Nappini, I Pis, T. O. Mentes, F. Genuzio, A. Locatelli, F. Bondino
Summary: In this study, the growth of h-BNG thin films on platinum and their behavior in an oxygen environment were investigated using surface science techniques. By selectively etching graphene and repeating growth cycles, controllable h-BNG layers and vertically stacked h-BN/Gr heterostructures were successfully obtained.
APPLIED SURFACE SCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Jiahan Li, Junyong Wang, Xiaotian Zhang, Christine Elias, Gaihua Ye, Dylan Evans, Goki Eda, Joan M. Redwing, Guillaume Cassabois, Bernard Gil, Pierre Valvin, Rui He, Bin Liu, James H. Edgar
Summary: This study demonstrates the growth of high-quality hBN crystals at atmospheric pressure using pure iron as a flux, unexpectedly yielding properties matching the best values reported for hBN. The crystals produced showed excellent quality and were used as a substrate for WSe2 epitaxy, with low defect density and superior electrical insulating properties, showcasing the potential for integrated devices in two-dimensional material research.
Article
Chemistry, Multidisciplinary
Ping Wang, Woncheol Lee, Joseph P. Corbett, William H. Koll, Nguyen M. Vu, David Arto Laleyan, Qiannan Wen, Yuanpeng Wu, Ayush Pandey, Jiseok Gim, Ding Wang, Diana Y. Qiu, Robert Hovden, Mackillo Kira, John T. Heron, Jay A. Gupta, Emmanouil Kioupakis, Zetian Mi
Summary: This study proposes a growth process mediated by an hBN/G interface for the controlled synthesis of high-quality monolayer hBN. The scalable epitaxy of unidirectional monolayer hBN on graphene aligned to the underlying graphene lattice is achieved. Additionally, it is discovered that monolayer hBN exhibits deep-ultraviolet emission with a giant renormalized direct bandgap on graphene.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Physical
Nasim Anousheh, Azar Shamloo, Seifollah Jalili, Jack A. Tuszynski
Summary: Understanding the behavior of confined electrolyte solutions in graphene-based channels is important for various scientific applications. In this study, molecular dynamics simulations were used to investigate the adsorption of NaCl electrolyte solutions in graphene, hexagonal boron nitride, and combined graphene-hexagonal boron nitride nano-channels. The study reveals the advantageous adsorption of sodium and chloride ions in the graphene-hexagonal boron nitride-graphene structure.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Materials Science, Coatings & Films
Jimy Encomendero, S. M. Islam, Debdeep Jena, Huili Grace Xing
Summary: The development of molecular beam epitaxy (MBE) in the engineering of heterostructures has led to advancements in the field of semiconductor devices, such as the demonstration of negative differential conductance (NDC) in arsenide-based resonant tunneling diodes (RTDs). By discussing key developments in the epitaxy of III-nitride heterostructures, it has been shown that in situ tracking of crystal electron diffraction allows for deterministic control of monolayer incorporation into tunneling barriers, leading to robust resonant tunneling transport in nitride semiconductors. Experimentally, it has been demonstrated that tunneling transport in nitride RTDs is sensitive to epitaxial parameters such as substrate growth temperature and threading dislocation density, providing insight into the engineering of new functionalities within III-nitride semiconductors.
JOURNAL OF VACUUM SCIENCE & TECHNOLOGY A
(2021)
Article
Chemistry, Multidisciplinary
Huibin Sun, Yunlei Jiang, Renjie Hua, Runhua Huang, Lei Shi, Yuan Dong, Suxia Liang, Jing Ni, Chi Zhang, Ruoyu Dong, Yingru Song
Summary: Graphene/BN heterostructures exhibit significant thermal rectification behavior, and the rectification ratio increases with the system length. This phenomenon is attributed to the mismatch of out-of-plane phonon vibration modes at the interface. This two-dimensional heterostructure shows promise for thermal management.
Article
Chemistry, Physical
Wei Zhan, Hongyan Wang, Jinling Gao, Xuemei Tang, Xingrui Zhu, Yuhan Xiao, Xiaoyan Sun, Wei Gao, Hong Yin
Summary: Developing highly efficient earth-abundant alternatives to traditional noble metal catalysts is important for clean and sustainable energy-conversion and energy-storage technologies. In this study, it is shown that hexagonal boron nitride (h-BN) can generate boron-active radicals at defect sites, leading to superior catalytic activity. Experimentally, a heterostructure with h-BN nanosheets anchored on reduced graphene oxide (rGO) as composite catalysts demonstrates excellent stability and improved oxygen evolution reaction (OER) activity.
Article
Chemistry, Physical
Yang Ge, Lingxiu Chen, Chengxin Jiang, Jianlong Ji, Qiuyun Tan, Douxing Pan, Wendong Zhang, Riguang Zhang, Eli Janzen, James H. Edgar, Shengbo Sang, Haomin Wang
Summary: In this study, triangular zigzag-edged graphene nanoflakes (GNFs) were successfully synthesized and found to exhibit high magnetization. Density functional theory calculations revealed that this magnetic property is a result of superexchange interactions among unpaired electrons at the zigzag C-BN interface. This research provides a promising platform for experimentally achieving GNFs with high electron spin states.
Article
Biochemistry & Molecular Biology
Jingran Liu, Chaobo Luo, Haolin Lu, Zhongkai Huang, Guankui Long, Xiangyang Peng
Summary: The study investigates the properties of graphene supported by hBN and forming moiré structures, revealing changes in energy gaps and Fermi velocity with twisting angles. The periodic potential imposed by hBN affects charge distributions in graphene, influencing band structures.
Article
Chemistry, Physical
Tatiana Latychevskaia, Colin Robert Woods, Yi Bo Wang, Matthew Holwill, Eric Prestat, Sara Mustafi, Sarah J. Haigh, Konstantin S. Novoselov
Summary: This study demonstrates the possibility of directly measuring scattering parameters through the intensity distribution of spots in CBED patterns. A method for recovering atomic scattering parameters from CBED patterns is proposed and validated through experiments and simulations.
Article
Nanoscience & Nanotechnology
Pengru Huang, Ruslan Lukin, Maxim Faleev, Nikita Kazeev, Abdalaziz Rashid Al-Maeeni, Daria V. Andreeva, Andrey Ustyuzhanin, Alexander Tormasov, A. H. Castro Neto, Kostya S. Novoselov
Summary: Modification of physical properties and design of materials with on-demand characteristics is crucial in modern technology. Machine learning methods are applied to these systems due to the difficulty in modeling designer materials. A new platform is developed for implementing machine learning techniques in materials design, utilizing datasets on pristine and defected materials.
NPJ 2D MATERIALS AND APPLICATIONS
(2023)
Article
Chemistry, Physical
Mariana C. F. Costa, Pei Rou Ng, Sergey Grebenchuck, Jun You Tan, Gavin K. W. Koon, Hui Li Tan, Colin R. Woods, Ricardo K. Donato, Kostya S. Novoselov, Antonio H. Castro Neto
Summary: One of the important characteristics of 2D electrolytes is their ability to transform into 1D structures like nanoscrolls. However, these 1D structures are soft, unstable, and have poor electrical conductivity. Through the use of atomic force microscopy and electrical transport measurements, researchers have found that one-step, catalyst-free graphitization of graphene nanoscrolls enhances their structural stability and reduces their structural disorder. These changes in physical properties open up possibilities for the study of exotic materials and various industrial applications.
Article
Chemistry, Physical
Xuanye Leng, Ricardo J. Vazquez, Samantha R. McCuskey, Glenn Quek, Yude Su, Konstantin G. Nikolaev, Mariana C. F. Costa, Siyu Chen, Musen Chen, Kou Yang, Jinpei Zhao, Mo Lin, Zhaolong Chen, Guillermo C. Bazan, Kostya S. Novoselov, Daria V. Andreeva
Summary: The high electrical conductivity and low dimensionality of graphene are crucial for lightweight bioanodes in new-generation energy technologies. However, integrating graphene in biointerfaces is challenging due to its incompatible surface energy with living matter. We propose a sustainable chemical control method to achieve the desired surface hydrophilicity and conductivity of graphene nanowalls, enabling the formation of a lightweight, graphene-based, sponge bioanode. This novel graphene-based material shows stable and rapid response, with a biocurrent density of 135.35 mA m(-2) achieved within a few hours.
Article
Materials Science, Multidisciplinary
Qin Qin, Weiqi Cao, DaWa Zhaxi, Xianyong Chen, Daria V. Andreeva, Kefan Chen, Shuai Yang, Hao Tian, Majid Shaker, Zhan Jin, Kostya S. Novoselov
Summary: In this study, composite phase change materials (PCMs) (EG-PCM and SA-PCM) with stable shape were prepared using 1-decanol, expanded graphite (EG), and silica aerogel (SA). The optimal contents of EG and SA in the composite PCMs were determined to be 9% and 14% respectively. The composite PCMs showed good thermal stability even after 220 heating/cooling cycles. The thermal conductivity of EG-PCM and SA-PCM was enhanced to 16.09 times and 1.21 times of the neat PCM, respectively. The composite PCMs effectively maintained the temperature and acidity of yogurt for several hours in a cold chain transport portable box.
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
(2023)
Article
Engineering, Chemical
Musen Chen, Maxim Trubyanov, Pengxiang Zhang, Qian Wang, Zelong Li, Kostya S. Novoselov, Daria Andreeva
Summary: Graphene oxide (GO) based multi-layered membranes have exceptional molecular-sieving properties for gas separation, especially for hydrogen decarbonization. However, the mechanism of gas permeation through two-dimensional GO membranes is very different from traditional polymeric membranes due to their multilayer, laminated nature. Understanding and measuring gas transport parameters, such as diffusivity and solubility, are crucial for the strategic design of novel membranes based on two-dimensional materials.
JOURNAL OF MEMBRANE SCIENCE
(2023)
Article
Chemistry, Multidisciplinary
Georgy Ermolaev, Anatoly P. Pushkarev, Alexey Zhizhchenko, Aleksandr A. Kuchmizhak, Ivan Iorsh, Ivan Kruglov, Arslan Mazitov, Arthur Ishteev, Kamilla Konstantinova, Danila Saranin, Aleksandr Slavich, Dusan Stosic, Elena S. Zhukova, Gleb Tselikov, Aldo Di Carlo, Aleksey Arsenin, Kostya S. Novoselov, Sergey Makarov, Valentyn S. Volkov
Summary: In recent years, the significance of giant optical anisotropy in light manipulation has been demonstrated. However, achieving continuous tunability of optical anisotropy has remained a challenge. This study presents a solution to this problem through the chemical alteration of halogen atoms in single-crystal halide perovskites, resulting in the continuous modification of optical anisotropy. Our findings also show that halide perovskites can exhibit high optical anisotropy up to 0.6 in the visible range, the highest value among non-van der Waals materials.
Article
Multidisciplinary Sciences
Na Xin, James Lourembam, Piranavan Kumaravadivel, A. E. Kazantsev, Zefei Wu, Ciaran Mullan, Julien Barrier, Alexandra A. Geim, I. V. Grigorieva, A. Mishchenko, A. Principi, V. I. Fal'ko, L. A. Ponomarenko, A. K. Geim, Alexey I. Berdyugin
Summary: The most distinctive feature of graphene is its electronic spectrum, in which the Dirac point is located. At low temperatures, the intrinsic behavior of this spectrum is often hidden by charge inhomogeneity, but thermal excitations can overcome the disorder at higher temperatures and create an electron-hole plasma. The behavior of this plasma in magnetic fields is not well understood at present.
Article
Chemistry, Physical
A. Bhattacharya, I. Timokhin, R. Chatterjee, Q. Yang, A. Mishchenko
Summary: This article introduces a method of automatically searching and classifying 2D flat band materials using machine learning algorithms. By combining supervised and unsupervised learning algorithms, a convolutional neural network is used to identify 2D flat band materials, which are then subjected to symmetry-based analysis using a bilayer unsupervised learning algorithm. This method helps construct a database of 2D materials and reveals material classes beyond the known flat band paradigms.
NPJ COMPUTATIONAL MATERIALS
(2023)
Correction
Nanoscience & Nanotechnology
Pengru Huang, Ruslan Lukin, Maxim Faleev, Nikita Kazeev, Abdalaziz Rashid Al-Maeeni, Daria V. Andreeva, Andrey Ustyuzhanin, Alexander Tormasov, A. H. Castro Neto, Kostya S. Novoselov
NPJ 2D MATERIALS AND APPLICATIONS
(2023)
Article
Materials Science, Multidisciplinary
Musen Chen, Qian Wang, Maxim Trubyanov, Kou Yang, Aleksandr S. Aglikov, Ge Qi, Ekaterina V. Skorb, Kostya S. Novoselov, Daria V. Andreeva
Summary: This study demonstrates the feasibility of large-scale self-assembly of graphene oxide flakes into anisotropic films using a simple blade coating technique. They also propose a statistical analysis method utilizing scanning electron microscopy images for the characterization of materials with macroscopic surface morphology. Furthermore, the application of these films as low-dimensional soft actuators is explored, showcasing their outstanding stimuli-responsive performance and self-adaptation to the environment.
MATERIALS & DESIGN
(2023)
Article
Physics, Multidisciplinary
Evgenii E. Vdovin, Mark T. Greenaway, Yurii N. Khanin, Sergey V. Morozov, Oleg Makarovsky, Amalia Patane, Artem Mishchenko, Sergey Slizovskiy, Vladimir I. Fal'ko, Andre K. Geim, Kostya S. Novoselov, Laurence Eaves
Summary: Insights into the fundamental properties of graphene's Dirac-Weyl fermions have been gained through studying electron tunnelling transistors with an atomically thin layer of hexagonal boron nitride (hBN) sandwiched between two layers of high purity graphene. With the presence of a single defect within the hBN tunnel barrier, electrons can be injected into the graphene layers, and its well-defined energy level acts as a high resolution spectroscopic probe of electron-electron interactions in graphene. We observe a magnetic field dependent suppression of the tunnel current flowing through a single defect below temperatures of about 2 K, attributed to the formation of a magnetically-induced Coulomb gap in the spectral density of electrons tunnelling into graphene due to electron-electron interactions.
COMMUNICATIONS PHYSICS
(2023)
Article
Optics
K. Wongcharoenbhorn, C. Koller, T. M. Fromhold, W. Li
Summary: We investigate the thermal Casimir-Polder (CP) potential of 87Rb atoms in Rydberg nS-states near single- and double-layer graphene, and briefly explore the lifetimes near graphene-hexagonal boron nitride (hBN) multilayered structures. The dependence of the CP potential on parameters such as atom-surface distance, temperature, principal quantum number n, and graphene Fermi energy are studied. We find that the CP potential is dominated by nonresonant and evanescent-wave terms in the nonretarded regime, while exhibiting spatial oscillations in the retarded regime.
Article
Multidisciplinary Sciences
Jennifer Gaskell, Nazareno Campioni, Juan M. Morales, Dirk Husmeier, Colin J. Torney
Summary: Inferring the underlying processes that drive collective behaviour in biological and social systems is a challenging task. Approximate Bayesian computation (ABC) combined with Gaussian process acceleration and graph neural networks can effectively overcome the difficulties of designing specific summary statistics for inference, providing a more automated approach.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2023)
