Results 131 to 140 of about 54,360 (285)

Tailoring Electronic Properties of Precision Graphene Nanoribbons via Nanopore Engineering

Angewandte Chemie, EarlyView.
Novel porous graphene nanoribbons incorporating [18]annulene nanopores, together with a nonporous GNR of identical width, have been synthesized. Spectroscopic and theoretical analyses reveal that nanopore incorporation effectively tunes their electronic properties by enlarging the bandgap, reducing charge‐carrier mobility, and modulating exciton ...
Kun Liu, Guanzhao Wen, Gianluca Serra, Nicolás Arisnabarreta, Hongde Yu, Andrea Lucotti, Yarden Peleg Walg, Hartmut Komber, Zhen‐Lin Qiu, Qing‐Song Deng, Ran He, Wenhui Niu, Thomas Heine, Eike Brunner, Mischa Bonn, Steven De Feyter, Matteo Tommasini, Hai I. Wang, Ji Ma, Xinliang Feng   +19 more
wiley   +2 more sources

Toward Reliable Metal Halide Perovskite FETs: From Electronic Structure and Device Physics to Stability and Performance Engineering

Advanced Electronic Materials, EarlyView.
Metal halide perovskite field‐effect transistors (PeFETs) offer great promise for flexible, low‐cost, and high‐performance due to their excellent charge carrier properties. However, challenges like ion migration, hysteresis, and instability limit their performance.
Georgios Chatzigiannakis, Anastasia Soultati, Leonidas C. Palilis, Ermioni Polydorou, Konstantinos Davazoglou, Petros‐Panagis Filippatos, Goutham Raj Perumallapelli, Ravindra Naik Bukke, Abd. Rashid bin Mohd Yusoff, Ilhwan Ryu, Peng Gao, Alexander Chroneos, Mohammad Khaja Nazeeruddin, Maria Vasilopoulou   +13 more
wiley   +1 more source

Design and verify a dual modulated metasurface in terahertz range. [PDF]

Sci Rep, 2020
Zhong M.
europepmc   +1 more source

High‐Speed Flexible Schottky Diodes Based on Carbon Nanotubes

Advanced Electronic Materials, EarlyView.
We demonstrate a flexible Schottky diode based on carbon nanotube network thin film, and the devices are fabricated via a low‐temperature process on a PI substrate, which exhibits excellent radio‐frequency characteristics, with a high responsivity 6 A/W at zero bias, a high intrinsic cut‐off frequency reaching 153 GHz, and an extrinsic cut‐off ...
Yan Li, Haoyu Zhang, Xinyi Zheng, Weifeng Wu, Xiaowei He, Li Ding, Sheng Wang   +6 more
wiley   +1 more source

Topological Materials and Related Applications

Advanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti, Roberto Mantovan, Emanuele Longo, Harold J. W. Zandvliet, Pantelis Bampoulis, Yu Pan, Fan Li, Xia Wang, Payton Downey, Alessandro Molle   +9 more
wiley   +1 more source

Generation of Strong Terahertz Pulse with Topologically Tunable Polarization Features

Ultrafast Science
Poincaré terahertz beams, which combine orbital and spin angular momentum, hold substantial promise for a wide range of applications. However, despite recent advancements, generating strong-field vector terahertz radiation remains a challenge.
Jie Cai, Yinren Shou, Han Wen, Liqi Han, Zheng Gong, Toshiki Tajima, Jinqing Yu, Xueqing Yan   +7 more
doaj   +1 more source

Characterizing hydrogen bonds in crystalline form of guanidinium salicylate in the terahertz range. [PDF]

RSC Adv, 2020
Song M, Yang F, Su C, Deng B.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Ultrasensitive specific sensor based on all-dielectric metasurfaces in the terahertz range. [PDF]

RSC Adv, 2020
Zhong Y, Du L, Liu Q, Zhu L, Meng K, Zou Y, Zhang B.   +6 more
europepmc   +1 more source

Neuromorphic Photonic Processing and Memory With Spiking Resonant Tunneling Diode Neurons and Neural Networks

Advanced Intelligent Systems, EarlyView.
This work shows resonant tunneling diode‐based opto‐electronic spiking neurons enabling fast edge detection in time series, a two‐layer photonic spiking neural network for complex classification, and a depth‐tunable photonic spiking memory system. Neuromorphic computing—modeled after the functionality and efficiency of biological neural systems—offers ...
Dafydd Owen‐Newns, Joshua Robertson, Giovanni Donati, Qusay Al‐Taai, José Figueiredo, Edward Wasige, Kathy Lüdge, Bruno Romeira, Antonio Hurtado   +8 more
wiley   +1 more source