Results 51 to 60 of about 5,399,057 (261)
Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Steps of a Discrete Choice Experiment
Abstract This chapter provides an overview of the key steps of conducting a discrete choice experiment (DCE). We begin with the research questions guiding the study design, move through several design issues related to the DCE and the questionnaire, and conclude with important considerations for the model estimation and post ...
Petr Mariel +5 more
openaire +1 more source
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
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
Advanced Engineering Materials, EarlyView.We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Discrete Choice Survey Experiments: A Comparison Using Flexible Models [PDF]
This study investigates the convergent validity of discrete choice contingent valuation (CV) and contingent rating/ranking (CR) methods using flexible econometric methods. Our results suggest that CV and CR can produce consistent data (achieve convergent
Siikamaki, Juha, Layton, David F.
core
Including opt-out options in discrete choice experiments: issues to consider [PDF]
, 2019 Background: Providing an opt-out alternative in discrete choice experiments can often be considered to be important for presenting real-life choice situations in different contexts, including health.
Campbell, Danny, Erdem, Seda
core +1 more source
Advanced Engineering Materials, EarlyView.A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
Validity of Discrete-Choice Experiments - Evidence for Health Risk Reduction [PDF]
There is growing interest in discrete-choice experiments (DCE) as a method to elicit consumers' preferences in the health care sector. Increasingly this method is used to determine willingness-to-pay (WTP) for health-related goods.
Peter Zweifel, Harry Telser
core
Learning, fatigue and preference formation in discrete choice experiments [PDF]
, 2015 While the repeated nature of discrete choice experiments is advantageous from a sampling efficiency perspective, patterns of choice may differ across the tasks, due, in part, to learning and fatigue.
Campbell, Danny +4 more
core +1 more source
Advanced Engineering Materials, EarlyView.Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati +11 more
wiley +1 more source