Results 161 to 170 of about 4,855,956 (246)

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

Emotion Recognition Based on Fusion of Topological Features and Trajectory Images Derived from EEG Phase Space Reconstruction. [PDF]

Sensors (Basel)
Liang T, Zhu X, Song Y.
europepmc   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

Advanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

Topological control of chirality and spin with structured light. [PDF]

Light Sci Appl
Mkhumbuza L, Ornelas P, Dudley A, Nape I, Forbes KA.   +4 more
europepmc   +1 more source

A dual-layer vector map encryption scheme using 4D hyperchaos and SM4. [PDF]

Sci Rep
Wang M, Wu J, Song Y, Zhang H, Zhu X.
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

Landau level and active manipulation of elastic waves in topological robotic metamaterials. [PDF]

Sci Adv
Cui LF, Wang YZ.
europepmc   +1 more source

Multiphoton Quantum Reservoirs For Robust Multidimensional Computing

Advanced Science, EarlyView.
Projective measurements reveal hidden multidimensional quantum networks within classical multiphoton fields, enabling robust quantum reservoirs for room‐temperature quantum simulation, prediction, and information processing. These networks transform noisy classical photonic platforms into scalable quantum computational architectures.
Mingyuan Hong, Mario A. Quiroz‐Juarez, Riley B. Dawkins, Fatemeh Mostafavi, Jannatul Ferdous, Addison Wilberg, Blas M. Rodriguez‐Lara, Justin Woodring, Chenglong You, Roberto de J. León‐Montiel, Omar S. Magaña‐Loaiza   +10 more
wiley   +1 more source

Skyrmions based on optical anisotropy for topological encoding. [PDF]

Light Sci Appl
Zhang Y, Wang AA, Zhang R, Zhao Z, Ma Y, Liu R, Pong ZK, Cai Y, He C.   +8 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