Results 211 to 220 of about 196,247 (278)

Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing

Advanced Science, EarlyView.
An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang, Rui Wang, Bo Lu, Ming‐Liang Song, Yu‐Yi Chen, Kuo Han, Xin‐Jie Feng, Bin Sun, Yao‐Guang Cao, Xiao‐Yu Yan, Shi‐Chun Yang   +10 more
wiley   +1 more source

SC-DGLA: constraint-aware pallet demand forecasting with dynamic graph and learnable lag alignment. [PDF]

Sci Rep
Ye B, Zheng J, Zhu L, Chen Y, Lei X, Zhang B, Wang Y.   +6 more
europepmc   +1 more source

Programmed Interfacial Phase Separation for Spatiotemporal Fungicide Delivery via Tunable Micro/Nano Architectures

Advanced Science, EarlyView.
ABSTRACT Translating dynamic liquid‐liquid phase separation into robust solid‐state architectures remains a challenge in materials engineering. Here, we report a composition‐driven interfacial assembly strategy that couples supramolecular coacervation with metal‐phenolic coordination to engineer tunable fungicide carriers.
Rui Zhang, Tongfang Jing, Leiming He, Kaidi Cui, Yuying Song, Xuewei Mao, Lidong Cao, Lin Zhou   +7 more
wiley   +1 more source

MEGH-DDI: MolT5-driven edge-aware graph learning with Hop2Token representation for drug-drug interaction prediction. [PDF]

PLoS Comput Biol
Zhou L, Zuo Y, He W, Deng Z.
europepmc   +1 more source

Van der Waals Heterostructures for Next‐Generation Spintronics: Multiferroic‐Mediated Magnetoelectric Properties

Advanced Science, EarlyView.
As CMOS technology approaches fundamental energy limits, new paradigms for low‐power information processing are required. Magnetic systems are attractive for their spin transport, yet current‐induced magnetization control is energy inefficient. Multiferroic heterostructures enable energy‐efficient electric field manipulation of magnetism.
Donghyeon Lee, Jiwoong Yang, Inhyeok Oh, Sanghan Lee   +3 more
wiley   +1 more source

Graph-based vision transformer with sparsity for training on small datasets from scratch. [PDF]

Sci Rep
Li P, Huang L, Li J, Yan H, Shan D.
europepmc   +1 more source

Discrete 2D Material Programming for 3D Shaping and Morphogenesis‐Inspired 4D Bioprinting

Advanced Science, EarlyView.
Cell‐compatible discrete 2D material programming enables 2‐to‐3D shape transformation and morphogenesis‐inspired 4D bioprinting. By patterning cell‐supportive microdomains within a responsive hydrogel, the approach programs in‐plane growth to encode target metrics.
Fereshteh Family, Aneela Davuluri, Athulya Martin, Kyungsuk Yum   +3 more
wiley   +1 more source

Cross-Condition Fault Diagnosis of Crane Slewing Bearings Based on a Lightweight Domain-Adaptive Graph Convolutional Network. [PDF]

Sensors (Basel)
Yang W, Wu Q, Wu A, Su L, Lou Y, Wu J, Wang Z, Yi C.   +7 more
europepmc   +1 more source

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

Advanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo, Qianqian Zhang, Chenhao Wang, Zhiheng Yi, Alex Jinpeng Wang, Jing Tang, Min Li   +6 more
wiley   +1 more source