Results 111 to 120 of about 5,822,632 (252)

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

Optimised Allocation of Distributed Generation and Electric Vehicles Integration in Microgrids: A Multi‐Criteria Approach

IET Renewable Power Generation
This paper presents the allocation and planning of renewable distributed generations such as wind turbines and photovoltaic systems, and non‐renewable generators such as fuel cells in the microgrids that incorporate electric vehicle parking lots while ...
Mehdi Veisi, Daniel Sahebi, Mazaher Karimi, Farhad Shahnia   +3 more
doaj   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
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, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

How Product Assortments Affect Buyer Preferences: Empirical Analysis of the Robustness of the Compromise Effect [PDF]

Behavioral research revealed that product assortments can influence buyer preferences and affect purchase decisions between options of a product line.
Holger Müller, Bodo Vogt, Eike Benjamin Kroll   +2 more
core  

Gradient-Based Approach to Solve Optimal Periodic Output Feedback Control Problems [PDF]

, 1998
We discuss the numerical solution of the output feedback optimal periodic control problem by using a gradient search based optimization approach. Extension of this approach to the simultaneous stabilization of periodic multimodels is also considered. For
Varga, A., Pieters, S,
core  

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
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, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

A Parameterized Intuitionistic Fuzzy Distance Measure-Based CoCoSo Method and Its Application in Stock Selection

Mathematics
In this paper, a parameterized intuitionistic fuzzy distance measure-based combined compromise solution (PIFDM-CoCoSo) framework is proposed to solve the multi-criteria decision-making (MCDM) problem with completely unknown criterion weight information ...
Jiulin Jin, Lianwu Zou, Zhongyan Long, Tingting Shi, Yukui Chang   +4 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Techno-economics of multi-stage reverse electrodialysis for blue energy harvesting

Carbon Neutrality
Multi-stage reverse electrodialysis (MSRED) offers a promising way for efficient salinity gradient energy harvesting. Here, an improved model of the MSRED system under serial control strategy is proposed. The technical–economic analysis is conducted with
Lu Wang, Yanan Zhao, Rui Long, Zhichun Liu, Wei Liu   +4 more
doaj   +1 more source