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| 1 | Advances in MoS_2-Based Field Effect Transistors(FETs)显示文摘This paper reviews the original achievements and advances regarding the field effect transistor(FET) fabricated from one of the most studied transition metal dichalcogenides: two-dimensional Mo S2. Not like graphene, which is highlighted by a gapless Dirac cone band structure, Monolayer Mo S2 is featured with a 1.9 e V gapped direct energy band thus facilitates convenient electronic and/or optoelectronic modulation of its physical properties in FET structure. Indeed,many Mo S2 devices based on FET architecture such as phototransistors, memory devices, and sensors have been studied and extraordinary properties such as excellent mobility, ON/OFF ratio, and sensitivity of these devices have been exhibited. However, further developments in FET device applications depend a lot on if novel physics would be involved in them. In this review, an overview on advances and developments in the Mo S2-based FETs are presented. Engineering of Mo S2-based FETs will be discussed in details for understanding contact physics, formation of gate dielectric, and doping strategies. Also reported are demonstrations of device behaviors such as low-frequency noise and photoresponse in Mo S2-based FETs, which is crucial for developing electronic and optoelectronic devices. | Xin Tong Eric Ashalley Feng Lin Handong Li Zhiming M.Wang | 2015 | Nano-Micro Letters2015，7，3： | 6 |
| 2 | Multitask deep-learning-based design of chiral plasmonic metamaterials显示文摘The field of chiral plasmonics has registered considerable progress with machine-learning(ML)-mediated metamaterial prototyping,drawing from the success of ML frameworks in other applications such as pattern and image recognition.Here,we present an end-to-end functional bidirectional deep-learning(DL)model for three-dimensional chiral metamaterial design and optimization.This ML model utilizes multitask joint learning features to recognize,generalize,and explore in detail the nontrivial relationship between the metamaterials’geometry and their chiroptical response,eliminating the need for auxiliary networks or equivalent approaches to stabilize the physically relevant output.Our model efficiently realizes both forward and inverse retrieval tasks with great precision,offering a promising tool for iterative computational design tasks in complex physical systems.Finally,we explore the behavior of a sample ML-optimized structure in a practical application,assisting the sensing of biomolecular enantiomers.Other potential applications of our metastructure include photodetectors,polarization-resolved imaging,and circular dichroism(CD)spectroscopy,with our ML framework being applicable to a wider range of physical problems. | Eric Ashalley Kingsley Acheampong Lucas VBesteiro Peng Yu Arup Neogi Alexander OGovorov Zhiming M.Wang | 2020 | Photonics Research2020，8，7： | 3 |
| 3 | Bismuth telluride nanostructures: preparation, thermoelectric properties and topological insulating effect显示文摘 | Eric ASHALLEY Haiyuan CHEN Xin TONG Handong LI Zhiming M. WANG | 2015 | Frontiers of Materials Science2015，9，2： | 1 |
| 4 | Recent Progress in Chiral Absorptive Metamaterials显示文摘Chiral metamaterial absorbers(CMMAs),a particular class of chiral metamaterials that refuse the transmission of incident radiation and exhibit different optical responses upon interactions with left and right circularly polarized(RCP)light,have gained research traction in recent years.CMMAs demonstrate numerous exotic and specialized applications owing to their achievable compatibility with various physical,chemical,and biomolecular systems.Aside from their well-evolved fabrication modalities for a broad range of frequencies,CMMAs exhibit strong chiroptical effects,making them central to various detection,imaging,and energy harvesting applications.Consequently,within the past decade,studies encompassing the design,optimization,and fabrication,as well as demonstrating the diverse applications of CMMAs have emerged.In this review,the theory,design,and fabrication of CMMAs are discussed,highlighting their top-down fabrication techniques as well as recent algorithmic and machine-learning(ML)-based approaches to the design and optimization.Some of their broad-spectrum applications are also discussed,spanning their roles in enantioselective photodetection,chiral imaging,generation of hot electrons,selective temperature sensing,and active chiral plasmonics. | Eric Ashalley Cui-Ping Ma Yi-Song Zhu Hong-Xing Xu Peng Yu Zhi-Ming Wang | 2021 | Journal of Electronic Science and Technology2021，19，3： | 0 |
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