Results 151 to 160 of about 168,829 (242)

Machine Learning‐Informed Nano Co‐Assembly Inhibits Fibroblast Activation Protein and Improves Drug Delivery in Fibrotic Tissue

Advanced Materials, EarlyView.
We present SP‐13786 (SP), a fibroblast activation protein (FAP) inhibitor, as a universal excipient for co‐assembling stable drug nanoparticles (SCAN). Assembly mechanism deciphered by molecular dynamics and explainable machine learning, SCAN attenuate fibrosis‐induced stromal barriers, enhances lesional drug accumulation, and improves therapeutic ...
Zehua Liu, Qiang Long, Yihao Liu, Xiuqiao Sun, Baoding Zhang, Binxin Liao, Weibin Wu, Wangxi Hai, Pei Zhang, Wenhua Lian, Yuewen Zhu, Zheng Wang, Caisheng Wu, Xianming Deng, Hélder A. Santos, Xiaofeng Ye   +15 more
wiley   +1 more source

Association Between BMI and Neurocognitive Functions Among Middle-aged Obese Adults: Preliminary Findings Using Machine-learning (ML)-based Approach. [PDF]

Ann Neurosci
Magan D, Yadav RK, Aneja J, Pandey S.
europepmc   +1 more source

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

Experimental and Numerical Investigation Integrated with Machine Learning (ML) for the Prediction Strategy of DP590/CFRP Composite Laminates. [PDF]

Polymers (Basel)
Hu H, Wei Q, Wang T, Ma Q, Jin P, Pan S, Li F, Wang S, Yang Y, Li Y.   +9 more
europepmc   +1 more source

Decoding NASICON and Its Metal Interface for Solid‐State Batteries

Advanced Materials, EarlyView.
This review paper focuses on lithium‐ and sodium‐based NASICON solid electrolytes and their interfaces with metal anodes using a top‐down framework. It begins with NASICON fundamentals, elucidates anode‐induced failure mechanisms, surveys advanced characterization strategies to understand them, summarizes mitigation approaches, and concludes with a ...
Jiaqi Xu, Taiguang Li, Ying Wang, Ruosi Qiao, Quinn Qiao, Yu Chen, Zhou Yu, Chunyi Zhi, Changmin Shi   +8 more
wiley   +1 more source

Natural Language Processing (NLP)- and Machine Learning (ML)-Enabled Operating Room Optimization: A Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Systematic Review Anchored in Project Planning Theory. [PDF]

Cureus
Chamarthi B, Polu OR, Anumula SK, Ushmani A, Kasralikar P, Aleem Syed A.   +5 more
europepmc   +1 more source

Quantitative 3D Real‐Space Analysis of Photonic Supraparticles

Advanced Materials, EarlyView.
This work shows that through quantitative 3D real‐space analysis, photonic supraparticles can be investigated in detail. By clustering and classifying all particles, structure features can easily be detected, and the internal structure can be quickly investigated. This methodology allows for quick identification of different crystal structures, such as
Jesse Ian Bückmann, Leroy Daniël Hoitink, Ruizhi Yang, Alptuğ Ulugöl, Laura Filion, Alfons van Blaaderen   +5 more
wiley   +1 more source

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

Advanced Materials, EarlyView.
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho, Seoyeon Park, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source

Maximizing the performance of badminton athletes through core strength training: Unlocking their full potential using machine learning (ML) modeling. [PDF]

Heliyon
Ma S, Geok Soh K, Binti Japar S, Xu S, Zhicheng G.   +4 more
europepmc   +1 more source

All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security

Advanced Materials, EarlyView.
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak, Changgyun Moon, Hyun‐Bin Yu, Sunkook Kim, Dong‐Hwan Kim   +4 more
wiley   +1 more source