Results 111 to 120 of about 47,483 (226)

Real-Time Object Classification via Dual-Pixel Measurement. [PDF]

Sensors (Basel)
Yang J, Chen R, Peng Y, Zhang L, Sun T, Xing F.   +5 more
europepmc   +1 more source

Tailor‐Made Protective LixAlSy Layer for Lithium Anodes to Enhance the Stability of Solid‐State Lithium–Sulfur Batteries

Advanced Materials Interfaces, EarlyView.
An intentionally added, chemically formed LixAlSy coating stabilizes the lithium–electrolyte interface in solid‐state Li–S batteries. The layer suppresses side reactions, preserves smooth charge transfer, and improves ion transport from the start. This approach offers a practical route to more durable solid‐state batteries and a clearer understanding ...
Xinyi Wang, Katja Kretschmer, Sharif Haidar, Georg Garnweitner, Daniel Schröder   +4 more
wiley   +1 more source

Evolution of Materials and Device Stacks for HfO2‐Based Ferroelectric Memories

Advanced Materials Interfaces, EarlyView.
This review summarizes engineering strategies for HfO2 based ferroelectric memories with focus on FeCAP and FeFET structures. It describes how dopant design, stress effects, and interface engineering improve the bulk ferroelectric response. It further discusses how channel engineering supports reliable memory characteristics and scalable integration ...
Eunjin Kim, Jiyong Woo
wiley   +1 more source

Physics-informed extreme learning machine (PIELM) for consolidation around an expanded cylindrical cavity. [PDF]

PLoS One
Pang CQ, Zhang ZH, Chen SH, Yue HY, Zhang Y.   +4 more
europepmc   +1 more source

Layered Nanoporous Platforms for SERS Sensing

Advanced Materials Interfaces, EarlyView.
Here, we present a detailed investigation of the SERS performance of layered nanoporous metals. The controlled deposition of well‐defined, stacked porous layers enabled a systematic analysis of the effects of multimetallic systems in SERS experiments. Numerical models are also used to support the experimental findings.
Yanqiu Zou, Anastasiia Sapunova, Tommaso Giovannini, Chen Wang, Huaizhou Jin, Vincenzo Caligiuri, Sergio Marras, Andrea Schirato, Luca Bursi, Alessandro Alabastri, Shukun Weng, Ali Douaki, German Lanzavecchia, Ivan Marri, Roman Krahne, Nicolò Maccaferri, Zhenrong Zheng, Shangzhong Jin, Denis Garoli   +18 more
wiley   +1 more source

Competing mechanisms of radial and local diffusion in radiation belt electron dynamics during quiet-geomagnetic conditions. [PDF]

Sci Rep
Zhang Q, Fu S, Ma X, Chen W, Wang J, Zhu Q, Zhai D, Zhao Y, Tong X, Lei Y, Xia K, Lou Y, Jin T, Ni B.   +13 more
europepmc   +1 more source

3D Printed PEDOT:PSS‐Based Lattice Pressure Sensors With Tunable Electromechanical Response

Advanced Materials Technologies, EarlyView.
poly(3,4‐ethylenedioxythiophene): polystyrene sulfonate (PEDOT:PSS)‐based architected lattices are fabricated via single‐step Digital Light Processing (DLP) printing for tunable pressure sensing. Structural design variations allow precise control of sensitivity and range, while integrated conductivity eliminates post‐processing.
Ozan Karakaya, Naroa Lopez‐Larrea, Ali Veysel Tunc, Mikel Rincon‐Iglesias, Karin J. Chen, Katja Nau, Senentxu Lanceros‐Mendez, David Mecerreyes, Miryam Criado‐Gonzalez, Gerardo Hernandez‐Sosa   +9 more
wiley   +1 more source

PLNet: Persistent Laplacian neural network for protein-protein binding free energy prediction. [PDF]

Protein Sci
Xu X, Wang C, Wei GW, Chen J.
europepmc   +1 more source

Unlocking the Potential of MXene‐Based Electrochemical Biosensors: A Review of Biofunctionalization Strategies and Biosensing Principles

Advanced Materials Technologies, EarlyView.
ABSTRACT Electrochemical biosensors enable the accurate and timely detection of clinical biomarkers, improving healthcare and precision medicine. MXene nanosheets, a class of 2D transition metal carbides, nitrides, and carbonitrides, are promising materials for developing next‐generation electrochemical biosensors due to their unique physicochemical ...
Muhsin Ali, Sharat Chandra Barman, Isobel Steer, Aya H. Alshareef, Dana Alsulaiman   +4 more
wiley   +1 more source

Topological data analysis and topological deep learning beyond persistent homology: a review. [PDF]

Artif Intell Rev
Su Z, Liu X, Hamdan LB, Maroulas V, Wu J, Carlsson G, Wei GW, Wei GW.   +7 more
europepmc   +1 more source