Results 101 to 110 of about 73,209 (264)

Angstrom‐Scale Confined Ion Sieve and Accelerator for Efficient Aqueous Zinc Batteries

Advanced Materials, EarlyView.
An angstrom‐scale confined ion accelerator strategy is proposed for ultra‐stable aqueous Zn anodes. Selective and precise transport of hydrated Zn(H2O)62+, Zn2+ cations, H2O molecules, and SO42− anions is achieved by in‐plane atomic Ti vacancies and angstrom‐scale interlayer free spacing within the Ti0.87O2 interfacial layer, leading to homogeneous Zn ...
Xing Peng, Caichao Ye, Yingqiang Li, Zhihang Liu, Kunxi Luan, Jinbo Fan, Honglan Huang, Chao Liu, Na Shen, Zhen Hou, Wenyao Zhang, Yongsheng Fu, Mingzhe Chen, Linfeng Hu, Pan Xiong, Guoxiu Wang, Junwu Zhu   +16 more
wiley   +1 more source

Energy-efficient design of CNTFET-based quaternary arithmetic circuits

Scientific Reports
The vast interconnection between digital logic blocks is the main challenge faced in chip designing, which leads to increased area overheads and average power consumption.
Ajay Rupani, Deepika Bansal, Kulbhushan Sharma   +2 more
doaj   +1 more source

Universal Strategy for Phase‐Selective Synthesis of Monolayer TMDs via Colloidal Chemistry

Advanced Materials, EarlyView.
ABSTRACT Colloidal synthesis of monolayer transition metal dichalcogenides (TMDs) remains challenging regarding uniform size, thickness, and crystalline phase. While significant progress has been made in phase engineering, a unified chemical strategy for on‐demand selection of both 2H and 1T′ phases across multiple TMD systems within a single chemical ...
Hoon Ju Lee, Weiguang Yang, Dae Young Park, Mrinal Kanti Kabiraz, Benoit Mahler, Hyeon Suk Shin   +5 more
wiley   +1 more source

Bioinspired Adaptive Surfaces for Intelligent Liquid Manipulation: Progressing From Passive and Active to Hybrid Strategies

Advanced Materials, EarlyView.
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao, Yiyuan Zhang, Liqiu Wang, Alan C. H. Tsang   +3 more
wiley   +1 more source

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications

Advanced Materials, EarlyView.
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko, Chiamaka Akah, Ravinder Dahiya   +2 more
wiley   +1 more source

From Payload‐First Toward Dual‐Mechanism Antibody–Drug Conjugates

Advanced Materials, EarlyView.
Conjugation converts potent antibodies into underexposed carriers. This perspective defines the antibody exposure deficit and maps a mechanism‐first design space from payload‐first to antibody‐first ADC architectures, integrating DAR, linker chemistry, and Fc engineering to guide rational design of constructs that balance targeted cytotoxicity with ...
Xavier Pivot, Sebastian Jung, Sébastien Harlepp, Alexandre Detappe   +3 more
wiley   +1 more source

Barrier‐Assisted Plasma Doping for Spatially Selective Resistance Engineering in MoS2 Transistors

Advanced Materials, EarlyView.
Barrier‐assisted NH3 plasma doping enables damage‐free, spatially selective carrier modulation in monolayer MoS2 transistors. An ultrathin pV3D3/Al2O3 protective‐dielectric stack acts as a chemical filter that allows NHx radicals to reach the MoS2 surface while blocking plasma damage. This process achieves a high electron concentration of 4.3 × 1013 cm−
Inseong Lee, Joonho Park, Seungsun Yoo, Seunghyun Yu, Mingu Kang, Seohak Park, Min Kyu Lee, Hyeongjin Lim, Dongyoung Kim, Kunwoo Roh, Sejin Kim, Kihyuk Kim, Wonbae Ahn, Kibum Kang, Yong‐Hoon Kim, Sung‐Yool Choi   +15 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

Advanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim, Seoeun Jang, Hakseung Rhee, Min Gu Lee, Daehee Kim, Taewook Go, Woon Hyung Cheong, Hanchan Song, Kyung Min Kim   +8 more
wiley   +1 more source

INTELLECTUAL MONITORING SPINDLE NODE ON BASE OF THE FUZZY LOGIC

Вестник Донского государственного технического университета, 2018
In article there are brought the cardinal principles of creation of the spindle node condition monitoring system of turning unit based on fuzzy-logic.
E.V. REMIZOV, E.A. LUKIYANOV
doaj