Results 61 to 70 of about 12,651,285 (254)

What Do Large Language Models Know About Materials?

Advanced 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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Improving the Giant-Armadillo Optimization Method

Analytics
Global optimization is widely adopted presently in a variety of practical and scientific problems. In this context, a group of widely used techniques are evolutionary techniques.
Glykeria Kyrou, Vasileios Charilogis, Ioannis G. Tsoulos   +2 more
doaj   +1 more source

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

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, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

APPLICATION OF THE BAYESIAN INFERENCE METHOD TO SYNTHESIZE URBAN DRIVING CYCLE SPEED SCHEDULES USING MEASURED DATA [PDF]

Transport Problems
Standardized driving cycles are widely used to simulate real-world vehicle operating conditions. They are used for estimating vehicle ranges, evaluating emissions, and designing powertrain characteristics.
Andrzej CZEREPICKI, Maciej KOZŁOWSKI
doaj   +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, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

A Novel Method That Is Based on Differential Evolution Suitable for Large-Scale Optimization Problems

Foundations
Global optimization represents a fundamental challenge in computer science and engineering, as it aims to identify high-quality solutions to problems spanning from moderate to extremely high dimensionality.
Glykeria Kyrou, Vasileios Charilogis, Ioannis G. Tsoulos   +2 more
doaj   +1 more source

Yağışın mekânsal dağılışında deterministik ve stokastik yöntemler: Mauritius örneği, Doğu Afrika

Coğrafi Bilimler Dergisi, 2016
Precipitation is one of the most important climatic parameters displaying significant changes across space and time. The accurate modeling of precipitation has become an important part of climate research for hydrological studies, the forecast of events ...
Olgu Aydın, Nussaïbah Begum Raja
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

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, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 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

A Novel Magnificent Frigatebird Optimization Algorithm with Proposed Movement Strategies for Enhanced Global Search

Analytics
Global optimization is a fundamental tool for addressing complex and nonlinear problems across scientific and technological domains. The primary objective of this work is to enhance the efficiency, stability, and convergence speed of the Magnificent ...
Glykeria Kyrou, Vasileios Charilogis, Ioannis G. Tsoulos   +2 more
doaj   +1 more source