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Collocated data processing and storage are the norm in biological systems. Indeed, the von Neumann computing architecture, that physically and temporally separates processing and memory, was born more of pragmatism based on available…

The study of graphene, since its discovery around 2004, is possibly the largest and fastest growing field of research in material science, because of its exotic mechanical, thermal, electronic, optical and chemical properties. The studies…

Materials Science · Physics 2013-06-05 Gautam Mukhopadhyay , Harihar Behera

The physics of two-dimensional (2D) materials and heterostructures based on such crystals has been developing extremely fast. With new 2D materials, truly 2D physics has started to appear (e.g. absence of long-range order, 2D excitons,…

Materials Science · Physics 2016-08-11 K. S. Novoselov , A. Mishchenko , A. Carvalho , A. H. Castro Neto

Since the 1998 proposal to build a quantum computer using dopants in semiconductors as qubits, much progress has been achieved on semiconductors nano fabrication and control of charge and spins in single dopants. However, an important…

Mesoscale and Nanoscale Physics · Physics 2018-11-26 J. C. Abadillo-Uriel , Belita Koiller , M. J. Calderón

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

Studies involving nanomechanical motion have evolved from its detection and understanding of its fundamental aspects to its promising practical utility as an integral component of hybrid systems. Nanomechanical resonators' indispensable…

Unconventional computing devices are increasingly of interest as they can operate in environments hostile to silicon-based electronics, or compute in ways that traditional electronics cannot. Mechanical computers, wherein information…

Emerging Technologies · Computer Science 2023-05-30 Atoosa Parsa , Sven Witthaus , Nidhi Pashine , Corey S. O'Hern , Rebecca Kramer-Bottiglio , Josh Bongard

The discovery of graphene and its fascinating capabilities have triggered an unprecedented interest in inorganic two-dimensional (2D) materials. Van der Waals (vdW) layered materials as graphene, hexagonal boron nitride (hBN), transition…

Applied Physics · Physics 2022-04-07 Leonardo Viti , Miriam Serena Vitiello

Resistive random access memory (RRAM) is very well known for its potential application in in-memory and neural computing. However, they often have different types of device-to-device and cycle-to-cycle variability. This makes it harder to…

Emerging Technologies · Computer Science 2023-08-08 Rajalekshmi TR , Rinku Rani Das , Chithra R , Alex James

As transistor scaling approaches its fundamental physical limits in the Angstrom era, two-dimensional (2D) semiconductors have emerged as the promising channel material candidates for future computing. While the device physics of 2D…

Two-dimensional (2D) materials for their versatile band structures and strictly 2D nature have attracted considerable attention over the past decade. Graphene is a robust material for spintronics owing to its weak spin-orbit and hyperfine…

Mesoscale and Nanoscale Physics · Physics 2017-01-30 Kuei-Lin Chiu , Yang Xu

Two-dimensional (2D) materials have wide applications in superconductors, quantum, and topological materials. However, their rational design is not well established, and currently less than 6,000 experimentally synthesized 2D materials have…

Materials Science · Physics 2023-01-18 Rongzhi Dong , Yuqi Song , Edirisuriya M. D. Siriwardane , Jianjun Hu

Materials with thickness ranging from a few nanometers to a single atomic layer present unprecedented opportunities to investigate new phases of matter constrained to the two-dimensional plane.Particle-particle Coulomb interaction is…

Mesoscale and Nanoscale Physics · Physics 2021-10-27 A. Carvalho , P. E. Trevisanutto , S. Taioli , A. H. Castro Neto

The Von-Neumann bottleneck is a clear limitation for data-intensive applications, bringing in-memory computing (IMC) solutions to the fore. Since large data sets are usually stored in nonvolatile memory (NVM), various solutions have been…

Applied Physics · Physics 2020-12-02 M. Ezzadeen , D. Bosch , B. Giraud , S. Barraud , J. -P. Noel , D. Lattard , J. Lacord , J. -M. Portal , F. Andrieu

Nonlinear optics has long been a cornerstone of modern photonic technology, enabling a wide array of applications, from frequency conversion to the generation of ultrafast light pulses. Recent breakthroughs in two-dimensional (2D) materials…

Optics · Physics 2025-04-11 Liuxin Gu , You Zhou

The advent of microcomputers in the 1970s has dramatically changed our society. Since then, microprocessors have been made almost exclusively from silicon, but the ever-increasing demand for higher integration density and speed, lower power…

Mesoscale and Nanoscale Physics · Physics 2017-04-25 Stefan Wachter , Dmitry K. Polyushkin , Ole Bethge , Thomas Mueller

Two-dimensional (2D) materials have attracted a great deal of interest in recent years. This family of materials allows for the realization of versatile electronic devices and holds promise for next-generation (opto)electronics. Their…

Research on graphene and other two-dimensional (2D) materials, such as silicene, germanene, phosphorene, hexagonal boron nitride (h-BN), graphitic carbon nitride (g-C3N4), graphitic zinc oxide (g-ZnO) and molybdenum disulphide (MoS2), has…

Materials Science · Physics 2016-03-03 Wei Hu , Jinlong Yang

As neural computation is revolutionizing the field of Artificial Intelligence (AI), rethinking the ideal neural hardware is becoming the next frontier. Fast and reliable von Neumann architecture has been the hosting platform for neural…

Neural and Evolutionary Computing · Computer Science 2024-12-31 Yigit Demirag