Results 61 to 70 of about 2,127,022 (301)
A mathematical guide to operator learning
Operator learning aims to discover properties of an underlying dynamical system or partial differential equation (PDE) from data. Here, we present a step-by-step guide to operator learning. We explain the types of problems and PDEs amenable to operator learning, discuss various neural network architectures, and explain how to employ numerical PDE ...
Nicolas Boullé, Alex Townsend
openaire +3 more sources
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
On the one hand, convex functions are important to derive rigorous convergence rates, and on the other, synchronous functions are significant to solve statistical problems using Chebyshev inequalities.
Asifa Tassaddiq +4 more
doaj +1 more source
STRUCTURALLY ADAPTIVE MATHEMATICAL MORPHOLOGY BASED ON NONLINEAR SCALE-SPACE DECOMPOSITIONS
Standard formulation of morphological operators is translation invariant in the space and in the intensity: the same processing is considered for each point of the image.
Jesús Angulo, Santiago Velasco-Forero
doaj +1 more source
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Twenty-ninth Illinois Custom Spray Operators' Training School: summaries of presentations [PDF]
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Illinois Custom Spray Operators' School
core
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Twenty-sixth Illinois Custom Spray Operators' Training School: summaries of presentations [PDF]
Made available in DSpace on 2016-03-17T21:24:43Z (GMT). No. of bitstreams: 2 749322_1974.pdf: 21354908 bytes, checksum: d06eb93cdb109e3ae0cea22c14c33f57 (MD5) license.txt: 4846 bytes, checksum: 927d59ba442de31571446841df3d90ca (MD5) Previous issue date:
Illinois Custom Spray Operators' School
core
In this study, we address a Cauchy problem within the context of the one-dimensional Timoshenko system, incorporating a distributed delay term. The heat conduction aspect is described by the Lord-Shulman theory.
Choucha Abdelbaki +3 more
doaj +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source

