Results 61 to 70 of about 99 (99)

Tensor Decomposition‐Based Model Order Reduction Applied to Multi‐Parameter Electromagnetic Problems in the Context of Digital Twins

open access: yesHigh Voltage, EarlyView.
ABSTRACT Digital twin is considered the key technique for real‐time monitoring and life‐cycle management of electric equipment. To construct the digital twin model of electric equipment, a multi‐parameter electromagnetic analysis is needed to generate a large amount of high fidelity data under various working condition.
Ze Guo, Zuqi Tang, Zhuoxiang Ren
wiley   +1 more source

MARTApp: software for the processing and reconstruction of synchrotron‐radiation‐based magnetic tomographies

open access: yesJournal of Synchrotron Radiation, EarlyView.
MARTApp is an open‐source software for magnetic vector reconstruction of the data acquired from magnetic transmission X‐ray microscopy. It automates the tasks of image normalization, alignment, computation of magnetic signal and the reconstruction of quasi‐2D and ‐3D systems.
A. Estela Herguedas-Alonso   +6 more
wiley   +1 more source

Profiles of control, value and achievement emotions in primary school mathematics lessons

open access: yesBritish Journal of Educational Psychology, EarlyView.
Abstract Background Achievement emotions are important for mathematical achievement. However, it is currently unclear how specific combinations of emotions—and their associated control and value appraisals—relate to mathematics performance, especially in younger students.
Wendy Symes   +3 more
wiley   +1 more source

Optimizing calibration designs with uncertainty in abilities

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Before items can be implemented in a test, the item characteristics need to be calibrated through pretesting. To achieve high‐quality tests, it's crucial to maximize the precision of estimates obtained during item calibration. Higher precision can be attained if calibration items are allocated to examinees based on their individual abilities ...
Jonas Bjermo   +2 more
wiley   +1 more source

Neural Geometry Processing via Spherical Neural Surfaces

open access: yesComputer Graphics Forum, EarlyView.
Abstract Neural surfaces (e.g., neural map encoding, deep implicit, and neural radiance fields) have recently gained popularity because of their generic structure (e.g., multi‐layer perceptron) and easy integration with modern learning‐based setups. Traditionally, we have a rich toolbox of geometry processing algorithms designed for polygonal meshes to
Romy Williamson, Niloy J. Mitra
wiley   +1 more source

VortexTransformer: End‐to‐End Objective Vortex Detection in 2D Unsteady Flow Using Transformers

open access: yesComputer Graphics Forum, EarlyView.
Abstract Vortex structures play a pivotal role in understanding complex fluid dynamics, yet defining them rigorously remains challenging. One hard criterion is that a vortex detector must be objective, i.e., it needs to be indifferent to reference frame transformations.
X. Zhang, P. Rautek, M. Hadwiger
wiley   +1 more source

Inverse Simulation of Radiative Thermal Transport

open access: yesComputer Graphics Forum, EarlyView.
Abstract The early phase of urban planning and architectural design has a great impact on the thermal loads and characteristics of constructed buildings. It is, therefore, important to efficiently simulate thermal effects early on and rectify possible problems.
C. Freude   +5 more
wiley   +1 more source

Multiphysics Simulation Methods in Computer Graphics

open access: yesComputer Graphics Forum, EarlyView.
Abstract Physics simulation is a cornerstone of many computer graphics applications, ranging from video games and virtual reality to visual effects and computational design. The number of techniques for physically‐based modeling and animation has thus skyrocketed over the past few decades, facilitating the simulation of a wide variety of materials and ...
Daniel Holz   +5 more
wiley   +1 more source

Augury and Forerunner: Real‐Time Feedback Via Predictive Numerical Optimization and Input Prediction

open access: yesComputer Graphics Forum, EarlyView.
Transient information generated by solver steps can inform future objective function minimization. In Augury, we explore the impact of predictive numerical optimization by using solver history to predict future minimization solutions, reducing computational resources needed to arrive at convergent states for a broad class of gradient‐based optimization
J. Graus, Y. Gingold
wiley   +1 more source

When Dimensionality Reduction Meets Graph (Drawing) Theory: Introducing a Common Framework, Challenges and Opportunities

open access: yesComputer Graphics Forum, EarlyView.
Abstract In the vast landscape of visualization research, Dimensionality Reduction (DR) and graph analysis are two popular subfields, often essential to most visual data analytics setups. DR aims to create representations to support neighborhood and similarity analysis on complex, large datasets.
F. V. Paulovich   +2 more
wiley   +1 more source

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