Results 131 to 140 of about 2,887,430 (312)
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Bayesian optimization algorithms for accelerator physics
Accelerator physics relies on numerical algorithms to solve optimization problems in online accelerator control and tasks such as experimental design and model calibration in simulations.
Ryan Roussel +26 more
doaj +1 more source
Algorithms and Data Structures
The book reflects the development of the use of computers and sophisticated algorithms to prepare and automatically typeset documents. It develops programs in step-wise fashion and express them in a well structured, detailed presentation.
N. Wirth, Wirth, Niklaus
core
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
This survey characterizes the various types of shadows. It also describes most existing shadow algorithms and discusses their complexities, advantages, and shortcomings.
A. Woo, A. Fournier, P. Poulin
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A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Efficient Algorithms to Globally Balance a Binary Search Tree
A binary search tree can be globally balanced by readjustment of pointers or with a sorting process in O(n) time, n being the total number of nodes.
H. Chang, S. Iyengar
core
Semantic Roomobjects for Conceptual Design Support
The conceptual design at the beginning of the building construction process is essential for the success of a building project. Even if some CAD tools allow elaborating conceptual sketches, they rather focus on the shape of the building elements and not ...
K. Bodo +3 more
core +1 more source
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
Towards Understanding First Order Algorithms for Nonconvex Optimization in Machine Learning
Presented on February 11, 2019 at 11:00 a.m. as part of the ARC12 Distinguished Lecture in the Klaus Advanced Computing Building, Room 1116.Tuo Zhao is an assistant professor in the H.
Zhao, Tuo
core

