Results 51 to 60 of about 3,048,635 (228)

Calculation of the extended probabilistic box of static voltage stability margin for a hybrid AC-DC power grid with renewables

open access: yesInternational Journal of Electrical Power & Energy Systems
High-order uncertainties arise in the cumulative distribution function parameters of wind speed and solar irradiance due to data gaps and statistical errors in renewable energy stations (RESs).
Yunfeng Zhang   +5 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
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

Uncertainty Quantification in Computational Electromagnetics: The stochastic approach [PDF]

open access: yes, 2013
Models in electromagnetism are more and more accurate. In some applications, the gap between the experience and the model comes from the deviation on input data of the model which are not perfectly known.
CLENET, Stephane
core  

Stochastic integral equations without probability [PDF]

open access: yes, 2000
A pathwise approach to stochastic integral equations is advocated. Linear extended Riemann-Stieltjes integral equations driven by certain stochastic processes are solved.
Mikosch, T, Norvaisa, R
core   +3 more sources

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

open access: yesAdvanced 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

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced 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

A priori error indicator in the transformation method for problems with geometric uncertainties [PDF]

open access: yes, 2013
Version éditeur de cette publication à l'adresse suivante : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6514655To solve stochastic problems with geometric uncertainties, one can transform the original problem in a domain with stochastic ...
Mac, Duc Hung   +4 more
core   +1 more source

H∞ Observer-Based Delay-Dependent Control of LPV Stochastic Systems via a Novel Reciprocal Convex Inequality

open access: yesIEEE Access
This paper discusses an $H_{\infty }$ control problem as observer-based delay-dependent stability of time-varying stochastic systems represented by Linear Parameter Varying (LPV) description.
Cheung-Chieh Ku   +2 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced 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

A posteriori error estimation for stochastic static problems [PDF]

open access: yes, 2014
To solve stochastic static field problems, a discretization by the Finite Element Method can be used. A system of equations is obtained with the unknowns (scalar potential at nodes for example) being random variables. To solve this stochastic system, the
MAC, Hung, CLENET, Stephane
core   +1 more source

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