Results 201 to 210 of about 2,720,618 (349)

daleihao/Topographic_Effects: Codes and data for GMD paper "A Parameterization of Sub-grid Topographical Effects on Solar Radiation in the E3SM Land Model (Version 1.0): Implementation and Evaluation Over the Tibetan Plateau"

, 2021
Dalei Hao
openalex   +1 more source

Using physics‐informed neural networks to quantify submarine groundwater discharge under high‐frequency tidal dynamics using heat as a tracer

Limnology and Oceanography: Methods, EarlyView.
Abstract Estimating exchange rates of submarine groundwater discharge (SGD) at high temporal resolution over extended periods remains challenging, particularly when using heat as a tracer in highly dynamic environments such as tidal systems. Currently available heat transport models struggle to accurately quantify SGD exchange rates in these settings ...
S. Frei, M. U. Munir, A. M. Seiverth, B. S. Gilfedder   +3 more
wiley   +1 more source

Computationally efficient x-ray simulation framework using parameterized material attenuation models in anatomically detailed imaging. [PDF]

Med Phys
Nassi M, Mikerov M, Michielsen K, Sechopoulos I.   +3 more
europepmc   +1 more source

The (In)Effectiveness of Psychological Targeting: A Meta‐Analytic Review

Psychology &Marketing, EarlyView.
ABSTRACT The use of psychological targeting—employing machine learning to predict consumer personality from digital footprints and subsequently tailoring persuasive messages—has emerged as a controversial yet prominent practice in digital marketing.
Raphael Perla, Thomas Maran, Begüm Bagci, Sascha Kraus, Dominik K. Kanbach, Ricarda B. Bouncken   +5 more
wiley   +1 more source

Differentiable modelling and optimization of multi-planar slicing for multi-axis additive manufacturing. [PDF]

Struct Multidiscipl Optim
Mishra V, Wu J.
europepmc   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

Two‐Dimensional Transition Metal Dichalcogenides Properties Enhanced by Nano‐ and Micro‐Scale Shape Control

MetalMat, EarlyView.
This review explores current strategies for shaping two‐dimensional transition metal dichalcogenides (TMDs) beyond their planar form. It highlights how strain engineering, nanopatterning, and growth on complex substrates modulate their mechanical, optical, and electronic properties.
C. Grazianetti, G. Zambito, D. Campi, M. C. Giordano, F. Buatier de Mongeot, A. Molle, C. Martella   +6 more
wiley   +1 more source

On the Storage-Communication Trade-Off in Graph-Based <i>X</i>-Secure <i>T</i>-Private Linear Computation. [PDF]

Entropy (Basel)
Liu Y, Jia H, Jia Z.
europepmc   +1 more source

Accelerating Multiparametric Quantitative MRI Using Self‐Supervised Scan‐Specific Implicit Neural Representation With Model Reinforcement

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a self‐supervised scan‐specific deep learning framework for reconstructing accelerated multiparametric quantitative MRI (qMRI). Methods We propose REFINE‐MORE (REference‐Free Implicit NEural representation with MOdel REinforcement), combining an implicit neural representation (INR) architecture with a model reinforcement ...
Ruimin Feng, Albert Jang, Xingxin He, Fang Liu   +3 more
wiley   +1 more source

Parameterization of intraoperative human microelectrode recordings: Linking action potential morphology to brain anatomy. [PDF]

PLoS Comput Biol
Baker MR, Klassen BT, Jensen MA, Ojeda Valencia G, Heydari H, Ince NF, Müller KR, Miller KJ.   +7 more
europepmc   +1 more source