Results 181 to 190 of about 724,897 (308)

Single-shot dual-scale photoacoustic microscopy enables ultra-sparse sampling reconstruction of optical-resolution imaging. [PDF]

Photoacoustics
Chen K, Cao Z, Li R, Cai H, Hong X, Chen J.   +5 more
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Generating Unconventional Spin‐Orbit Torques With Patterned Phase Gradients in Tungsten Thin Films

Advanced Materials, EarlyView.
ABSTRACT A key aim in spintronics is to achieve current‐induced magnetization switching via spin‐orbit torques without external magnetic fields. For this, the focus of recent work has been on introducing controlled lateral gradients across ferromagnet/heavy‐metal devices, giving variations in thickness, composition, or interface quality.
Lauren J. Riddiford, Anne Flechsig, Shilei Ding, Emir Karadža, Niklas Kercher, Tobias Goldenberger, Elisabeth Müller, Pietro Gambardella, Laura J. Heyderman, Aleš Hrabec   +9 more
wiley   +1 more source

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks [PDF]

A large body of research has focused on adversarial attacks which require to modify all input features with small l2- or l∞-norms. In this paper we instead focus on query-efficient sparse attacks in the black-box setting.
Hein, Matthias, Croce, Francesco, Singh, Naman, Flammarion, Nicolas, Andriushchenko, Maksym   +4 more
core  

SINDy-Based Motion-Dependent Nonholonomic Constraint Covariance Adaptation for GNSS-Denied MEMS/INS Vehicle Navigation. [PDF]

Micromachines (Basel)
Feng K, Wang Z, Li J, Shen S.
europepmc   +1 more source

Toward Pore‐Engineered 3D‐Printed Materials for Sorption Water Harvesting, Interfacial Evaporation, and Radiative Cooling

Advanced Materials, EarlyView.
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski, Higgins M. Wilson, Abdallah Y. M. Ali, Jiaxing Xu, Ruzhu Wang, Primož Poredoš   +5 more
wiley   +1 more source

Fisher's combined probability test for cross-sectional independence in panel data models with serial correlation. [PDF]

Stat Sin
Wang H, Liu B, Feng L, Ma Y.
europepmc   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Fixed points of dictionary learning algorithms for sparse representations

, 2013
Submitted to IEEE Transactions on Information Theory.This work provides theoretical arguments to compare dictionary learning algorithms for sparse rep- resentations. Three algorithms are considered: Sparsenet, MOD and K-SVD.
Mailhé, Boris, Plumbley, Mark, D.
core  

RAFA: RNA all-atom structure reconstruction from sparse anchor coordinates. [PDF]

Bioinformatics
Wang L, Zeng Z.
europepmc   +1 more source