Results 61 to 70 of about 2,320,712 (255)
Reaktor, 2019 Phase equilibrium calculation plays a major rule in optimization of separation process in chemical processing. Phase equilibrium calculation is still very challenging due to highly nonlinear and non-convex of mathematical models.
Rama Oktavian +2 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.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
Stochastic Algorithm Case Study
, 2021 Global and constrained optimization problems nowadays appear in almost all fields of science and engineering. In this case I focused on stochastic optimization in my thesis.
Zhang, Su Ying
core
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Stochastic programming models and methods for portfolio optimization and risk management
, 2012 This project is focused on stochastic models and methods and their application in portfolio optimization and risk management. In particular it involves development and analysis of novel numerical methods for solving these types of problem.
Meskarian, Rudabeh
core +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Analysis of Individual Convergence Bound for Gradient Biased Stochastic DA Optimization Method [PDF]
Jisuanji gongcheng, 2019 Samples that do not satisfy the independent and identical distribution will lead to deviations of the gradient estimation in the iterative process,and the convergence bound of the optimal individual cannot be determined under the interference of noise ...
ZHANG Menghan, WANG Hai, LIU Xin, BAO Lei
doaj +1 more source
An optimal method for stochastic composite optimization [PDF]
Mathematical Programming, 2011 The stochastic composite optimization problem under consideration consists in minimizing the sum \(f+h\) of two convex functions \(f,h\) defined on a compact convex set \(X\subset \mathbb{R}^{n}\), assuming that \(\nabla f\) and \(h\) are globally Lipschitz.
openaire +2 more sources
Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Stochastic Optimization for an Analytical Model of Saltwater Intrusion in Coastal Aquifers. [PDF]
PLoS ONE, 2016 The present study implements a stochastic optimization technique to optimally manage freshwater pumping from coastal aquifers. Our simulations utilize the well-known sharp interface model for saltwater intrusion in coastal aquifers together with its ...
Paris N Stratis +4 more
doaj +1 more source