Results 211 to 220 of about 81,920 (279)

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

A lightweight crack segmentation network based on the importance-enhanced Mamba model. [PDF]

Sci Rep
Wang Y, Jin J, Chen X, Wu Z, Zhang L.
europepmc   +1 more source

Harnessing Non‐Covalent Protein–Protein Interaction Domains for Production of Biocatalytic Materials Systems

Advanced Functional Materials, EarlyView.
Non‐covalent protein–protein interactions mediated by SH3, PDZ, or GBD domains enable the self‐assembly of stable and biocatalytically active hydrogel materials. These soft materials can be processed into monodisperse foams that, once dried, exhibit enhanced mechanical stability and activity and are easily integrated into microstructured flow ...
Julian S. Hertel, Maria Alessandra Martini, Marius Stoeckle, Annika J. Weber, Kersten S. Rabe, Christof M. Niemeyer   +5 more
wiley   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Scaling deep learning for material imaging with a pseudo 3D model for domain transfer. [PDF]

Nat Commun
Tang K, Armstrong RT, Mostaghimi P, Niu Y, Meyer Q, Zhao C, Finegan DP, Popeil M, Singh K, Menke H, Dimou AP, Bultreys T, Mascini A, Knackstedt M, Da Wang Y.   +14 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

A ResNet-50-UNet Hybrid with Whale Optimization Algorithm for Accurate Liver Tumor Segmentation. [PDF]

Diagnostics (Basel)
Mondol PK, Islam Mozumder MA, Cheol Kim H, Hassan Ali Al-Onaizan M, Hassan DSM, Al-Bahri M, Muthanna MSA.   +6 more
europepmc   +1 more source

Corrigendum to “MambaRSIS: Context-aware multi-scale feature aggregation with selective state space model for remote sensing instance segmentation” [Eng. Appl. Artif. Intel. 160 (2025) EAAI_111993]

Liyuan Pan, Xu Cao, Huanxin Zou, Hao Chen, Shitian He, Yuqing Zhang, Xuanming Liu, Jiangshan Li, Wanyu Chen   +8 more
openalex   +1 more source

Photoluminescent UV Light Modulation via Anisometric Carbon Nanodots for UV–Visible Shutter and UV Sensor

Advanced Functional Materials, EarlyView.
Anisometric carbon nanodots are synthesized directly from a liquid crystal precursor and embedded into polymer network liquid crystals to create soft, multifunctional photonic films. These hybrid devices exhibit polarized photoluminescence, broad UV absorption, and fast, electrically tunable light modulation.
Mangesh D. Patekari, Archana Ramadas, Minhee Yun, Seung Hee Lee, MinSu Kim   +4 more
wiley   +1 more source

A multi-dimensional lightweight attention-enhanced model for medical image segmentation. [PDF]

Sci Rep
Shang M, Kim P.
europepmc   +1 more source