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Rapid and reliable analysis of liquid dispersions of 2D materials is essential for fully harnessing their potential, allowing size and quality validation before subsequent processing or device fabrication. Existing UV-VIS extinction…

Mesoscale and Nanoscale Physics · Physics 2024-07-17 Nico Kubetschek , Claudia Backes , Stuart Goldie

Assembling different two-dimensional (2D) crystals, covering a very broad range of properties, into van der Waals (vdW) heterostructures enables the unprecedented possibilities for combining the best of different ingredients in one…

Materials Science · Physics 2017-05-17 Jia-Bin Qiao , Yue Gong , Wei-Jie Zuo , Yi-Cong Wei , Dong-Lin Ma , Hong Yang , Ning Yang , Kai-Yao Qiao , Jin-An Shi , Lin Gu , Lin He

CONSPECTUS: Two-dimensional (2D) compound materials are promising materials for use in electronics, optoelectronics, flexible devices, etc. because they are ultrathin and cover a wide range of properties. Among all methods to prepare 2D…

Materials Science · Physics 2020-12-11 Lei Tang , Junyang Tan , Huiyu Nong , Bilu Liu , Hui-Ming Cheng

The exotic properties of two-dimensional (2D) materials and 2D heterostructures, built by forming heterogeneous multi-layered stacks, have been widely explored across a number of subject matters following the goal to invent, design, and…

Mesoscale and Nanoscale Physics · Physics 2024-06-12 Chandraman Patil , Hamed Dalir , Jin Ho Kang , Albert Davydov , Chee Wei Wong , Volker J. Sorger

2D materials find promising applications in next-generation devices, however, large-scale, low-defect, and reproducible synthesis of 2D materials remains a challenging task. To assist in the selection of suitable substrates for the…

Materials Science · Physics 2021-12-08 Tara M. Boland , Arunima K. Singh

Two-dimensional (2D) materials have received a lot of interest over the past decade. Especially van der Waals (vdW) 2D materials, such as transition metal dichalcogenides (TMDCs), and their heterostructures exhibit semiconducting properties…

Two-dimensional (2D) materials offer opportunities to explore both fundamental science and applications in the limit of atomic thickness. Beyond the prototypical case of graphene, other 2D materials have recently come to the fore. Of…

Materials Science · Physics 2021-01-11 Adam. J. Watson , Wenbo Lu , Marcos H. D. Guimarães , Meike Stöhr

Two-dimensional (2D) materials display nanoscale dynamic ripples that significantly impact their properties. Defects within the crystal lattice are the elementary building blocks to tailor the material's morphology. While some studies have…

Materials Science · Physics 2025-03-11 Fabian L. Thiemann , Camille Scalliet , Erich A. Müller , Angelos Michaelides

With compact footprint, low energy consumption, high scalability, and mass producibility, chip-scale integrated devices are an indispensable part of modern technological change and development. Recent advances in two-dimensional (2D)…

Applied Physics · Physics 2022-01-05 David Moss

The study of two- dimensional (2D) materials is a rapidly growing area within nanomaterial research. However, the high equipment costs, which include the processing systems necessary for creating these materials, can be a barrier to entry…

While extensive guidance exists for ensuring the reproducibility of one's own study, there is little discussion regarding the reproduction and replication of external studies within one's own research. To initiate this discussion, drawing…

Machine Learning · Computer Science 2024-01-10 Milton S. Gomez , Tom Beucler

Reproducibility of computational studies is a hallmark of scientific methodology. It enables researchers to build with confidence on the methods and findings of others, reuse and extend computational pipelines, and thereby drive scientific…

The successful exfoliation of graphene from graphite has brought significant attention to predicting new two-dimensional (2D) materials that can be realized experimentally. As a consequence, first-principles studies of novel 2D materials…

Materials Science · Physics 2022-11-08 Asha Yadav , Carlos Mera Acosta , Gustavo M. Dalpian , Oleksandr I. Malyi

Control over the position, orientation, and stacking order of two-dimensional (2D) materials within van der Waals heterostructures is crucial for applications in electronics, spintronics, optics, and sensing. The most popular strategy for…

Open and reproducible research in materials science relies on the availability of data, code, and common metadata standards. Journal research data policies (RDPs) remain a primary mechanism by which publication norms are defined and…

Two dimensional (2D) materials continue to hold great promise for future electronics, due to their atomic-scale thicknesses and wide range of tunable properties. However, commercial efforts in this field are relatively recent, and much…

Triggered by the development of exfoliation and the identification of a wide range of extraordinary physical properties in self-standing films consisting of one or few atomic layers, two-dimensional (2D) materials such as graphene,…

Materials Science · Physics 2025-08-22 F. Javier García de Abajo , D. N. Basov , Frank H. L. Koppens , Lorenzo Orsini , Matteo Ceccanti , Sebastián Castilla , Lorenzo Cavicchi , Marco Polini , P. A. D. Gonçalves , A. T. Costa , N. M. R. Peres , N. Asger Mortensen , Sathwik Bharadwaj , Zubin Jacob , P. J. Schuck , A. N. Pasupathy , Milan Delor , M. K. Liu , Aitor Mugarza , Pablo Merino , Marc G. Cuxart , Emigdio Chávez-Angel , Martin Svec , Luiz H. G. Tizei , Florian Dirnberger , Hui Deng , Christian Schneider , Vinod Menon , Thorsten Deilmann , Alexey Chernikov , Kristian S. Thygesen , Yohannes Abate , Mauricio Terrones , Vinod K. Sangwan , Mark C. Hersam , Leo Yu , Xueqi Chen , Tony F. Heinz , Puneet Murthy , Martin Kroner , Tomasz Smolenski , Deepankur Thureja , Thibault Chervy , Armando Genco , Chiara Trovatello , Giulio Cerullo , Stefano Dal Conte , Daniel Timmer , Antonietta De Sio , Christoph Lienau , Nianze Shang , Hao Hong , Kaihui Liu , Zhipei Sun , Lee A. Rozema , Philip Walther , Andrea Alù , Michele Cotrufo , Raquel Queiroz , X. -Y. Zhu , Joel D. Cox , Eduardo J. C. Dias , Álvaro Rodríguez Echarri , Fadil Iyikanat , Andrea Marini , Paul Herrmann , Nele Tornow , Sebastian Klimmer , Jan Wilhelm , Giancarlo Soavi , Zeyuan Sun , Shiwei Wu , Ying Xiong , Oles Matsyshyn , Roshan Krishna Kumar , Justin C. W. Song , Tomer Bucher , Alexey Gorlach , Shai Tsesses , Ido Kaminer , Julian Schwab , Florian Mangold , Harald Giessen , M. Sánchez Sánchez , D. K. Efetov , T. Low , G. Gómez-Santos , T. Stauber , Gonzalo Álvarez-Pérez , Jiahua Duan , Luis Martín-Moreno , Alexander Paarmann , Joshua D. Caldwell , Alexey Y. Nikitin , Pablo Alonso-González , Niclas S. Mueller , Valentyn Volkov , Deep Jariwala , Timur Shegai , Jorik van de Groep , Alexandra Boltasseva , Igor V. Bondarev , Vladimir M. Shalaev , Jeffrey Simon , Colton Fruhling , Guangzhen Shen , Dino Novko , Shijing Tan , Bing Wang , Hrvoje Petek , Vahagn Mkhitaryan , Renwen Yu , Alejandro Manjavacas , J. Enrique Ortega , Xu Cheng , Ruijuan Tian , Dong Mao , Dries Van Thourhout , Xuetao Gan , Qing Dai , Aaron Sternbach , You Zhou , Mohammad Hafezi , Dmitrii Litvinov , Magdalena Grzeszczyk , Kostya S. Novoselov , Maciej Koperski , Sotirios Papadopoulos , Lukas Novotny , Leonardo Viti , Miriam Serena Vitiello , Nathan D. Cottam , Benjamin T. Dewes , Oleg Makarovsky , Amalia Patanè , Yihao Song , Mingyang Cai , Jiazhen Chen , Doron Naveh , Houk Jang , Suji Park , Fengnian Xia , Philipp K. Jenke , Josip Bajo , Benjamin Braun , Kenneth S. Burch , Liuyan Zhao , Xiaodong Xu

Precision and chip contamination-free placement of two-dimensional (2D) materials is expected to accelerate both the study of fundamental properties and novel device functionality. Current transfer methods of 2D materials onto an arbitrary…

Recent advances in deep learning, such as neural radiance fields and implicit neural representations, have significantly advanced 3D reconstruction. However, accurately reconstructing objects with complex optical properties, such as metals,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Zheng Dang , Jialu Huang , Fei Wang , Mathieu Salzmann
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