Results 171 to 180 of about 2,000,720 (315)

The distribution and variability of chlorophyll-a bloom in the southeastern tropical Indian Ocean using Empirical Orthogonal Function analysis

, 2017
Iskhaq Iskandar, Qurnia Wulan Sari, Dedi Setiabudidaya, Indra Yustian, Bruce C. Monger   +4 more
openalex   +2 more sources

The least concave majorant of the empirical distribution function [PDF]

, 2002
Christopher A. Carolan
openalex   +1 more source

EMPIRICAL DISTRIBUTION FUNCTION [PDF]

, 2017
openaire   +1 more source

Encoding Magnetic Anisotropies in Digital Light Processing 3D Printing

Advanced Functional Materials, EarlyView.
A hybrid magnetic device—combining a coaxial coil within a nested Halbach array—is presented, integrated into a DLP 3D printer to enable spatially resolved magnetic field control. This system enables complex, multimodal responses by programming liquid crystal elastomer resins for magnetic and thermal actuation, and by inducing electrically conductive ...
Eléonore Aïdonidis, Andrea Cosola, Pierre Bourdon, Hichem Dammak, Marco Sangermano, Frédéric Demoly, Marco Faustini, Amélie Pérot, Didier Lairez, Rakine Mouhoubi, Sébastien Blanquer, Giancarlo Rizza   +11 more
wiley   +1 more source

Rational Design of Printable Carbon Nanotube Transparent Conductive Films via Data‐Driven and Mechanistic Insights

Advanced Functional Materials, EarlyView.
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou, Ken‐ichi Nomura, Shun Muroga, Makoto Yoneya, Don N. Futaba, Takeo Yamada, Reiko Azumi, Kenji Hata   +7 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Refining estimation techniques for the Two-Sided Power Distribution: A data-sensitive perspective. [PDF]

PLoS One
Güral Y.
europepmc   +1 more source

Nonparametric estimation of the ROC curve based on smoothed empirical distribution functions [PDF]

, 2012
Alicja Jokiel-Rokita, Michał Pulit
openalex   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Quantifying Knowledge Production Efficiency with Thermodynamics: A Data-Driven Study of Scientific Concepts. [PDF]

Entropy (Basel)
Chumachenko A, Buttliere B.
europepmc   +1 more source