Results 231 to 240 of about 509,644 (312)

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Viral Infection‐Inspired Autonomous Detection of Fusion‐Competent Viruses for Screening and Environmental Surveillance

Advanced Materials, EarlyView.
Inspired by viral entry mechanisms, the FUSION assay enables autonomous detection of respiratory viruses via membrane fusion–triggered CRISPR‐Cas13a activation. VEACON selectively fuses with fusion‐competent viruses, triggering fluorescence within confined vesicles.
Jae Chul Park, Yidam Song, Hyun‐Woo Choi, Jaeuk Sung, Harin Jin, WonSeok Gwak, Kirim Yoo, Soohwang Lee, Jongeon Park, Jeongmin Kim, Hye‐Jun Jo, Jahyun Koo, Youngdo Jeong, Kwan Hyi Lee, Seung‐Jung Kee, Hojun Kim   +15 more
wiley   +1 more source

Hierarchical Structure and Fabrication of Functionally Graded Biointerfaces in the Mussel Byssus

Advanced Materials Interfaces, EarlyView.
The byssus is a fibrous protein‐based holdfast consisting of mechanically distinct interfaces, which mussels use to anchor their soft living tissue to hard seashore surfaces. Here, multiscale methodologies were used to elucidate the compositional and structural features underlying these functionally graded interfaces and how they are fabricated through
Lucia Youssef, Jenaes Sivasundarampillai, Sydney Mikulin, Franziska Jehle, Matthew J. Harrington   +4 more
wiley   +1 more source

Panel Data Regression Models

, 2015
openaire   +1 more source

Time‐Resolved Simultaneous Mapping of Thickness and Nanoparticle Concentration in Nanofluid Thin Films via Imaging Ellipsometry and Deep‐UV Reflectance Imaging

Advanced Materials Interfaces, EarlyView.
This study establishes a dual‐channel optical metrology framework integrating phase‐shifting imaging ellipsometry and deep‐UV reflectance imaging. This label‐free approach enables simultaneous, time‐resolved mapping of film thickness and nanoparticle (NP) concentration in dynamic nanofluid thin films.
Eita Shoji, Keita Aizawa, Hiroki Kusudo, Tetsushi Biwa   +3 more
wiley   +1 more source

A Reproducible and Scalable Process for High Yield Mesenchymal Stromal Cell Extracellular Vesicles Production

Advanced Materials Technologies, EarlyView.
Mesenchymal stem cell derived extracellular vesicles (MSC‐EVs) are a promising therapeutic tool for regenerative medicine. However, the field lacks a reproducible high‐yield production method to answer the quantities needed for clinical translation.
Christophe Wong, Elise Madec, Jeanne Volatron, Max Piffoux, Amanda K. A. Silva, Florence Gazeau, Jean‐Philippe Herbeuval, Thibaut Fourniols   +7 more
wiley   +1 more source

Reference ranges and influencing factors of pressure pain threshold in Chinese patients with knee osteoarthritis. [PDF]

Ann Med
Hu Z, Chang X, Yao S, Ye F, Xu C, Ma J.
europepmc   +1 more source

Micropillar‐Engineered Hybrid Adhesive Patch for Surface‐Conformable and Directional Adhesion

Advanced Materials Technologies, EarlyView.
This work presents a surface‐conformable hybrid adhesive integrating height‐optimized hexagonal micropillars with open‐rectangular cuts. The micropillars enhance rough‐surface contact and microscale crack arrest, while the cuts guide and reverse interfacial cracks for strong and directional adhesion. The multiscale architecture achieves robust pull‐off
Seongjin Park, Dong Kwan Kang, Haejin Bae, Ho‐Sup Jung, Hoon Eui Jeong   +4 more
wiley   +1 more source

Hyperspectral estimation of leaf chlorophyll under small-sample conditions via spectral augmentation and weighted ensemble learning. [PDF]

Front Plant Sci
Xu J, Song Y, Liu Y, Zhang S, Zhu G, Li W, Wang X, Xing J.   +7 more
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source