Results 131 to 140 of about 393,349 (304)
Plans for an aeroelastic prediction workshop
This paper summarizes the plans for the first Aeroelastic Prediction Workshop. The workshop is designed to assess the state of the art of computational methods for predicting unsteady flow fields and aeroelastic response.
Heeg, Jennifer +18 more
core
Laser Powder Bed Fusion of Alumina: Effects of Scanning Strategies on External and Internal Defects
This study investigates how scanning strategies affect pure alumina in laser powder bed fusion. Linear 45° scanning yields uniform surfaces but high porosity, while the island‐concentric strategy provides higher density with through‐holes favorable for infiltration. Findings highlight pathways toward optimizing defect‐free alumina parts.
Mohamed Abdelmoula +7 more
wiley +1 more source
PREDICTIVE ASSESSMENT OF TECHNICAL MEANS OF FEED GRAIN PROCESSING FOR LIVESTOCK
A process model for forming technical-and-economic indices in estimating mechanical equipment for feed grain processing for livestock is offered. Predictive estimate of the perspectiveness of the operating devices representation and development is ...
Dmitry I. Chistyakov
doaj
Main approaches and features of the design of aircraft hydro-mechanical control systems
The main purpose of the article is to identify the main approaches and define the concept when modeling the hydro-mechanical control systems of an aircraft. The advantages and importance of a computational experiment with the aid of a virtual test bed at
P. V. Petrov +2 more
doaj +1 more source
Exploring the functional brain network of Alzheimer's disease: based on the computational experiment. [PDF]
Li Y, Qin Y, Chen X, Li W.
europepmc +1 more source
Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham +7 more
wiley +1 more source
What Do Large Language Models Know About Materials?
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
In this article we present our research for Discovery learning in relation to the computational experiment for the instruction of Mathematics and Science university courses, using the approach of the computational experiment through electronic worksheets.
Psycharis, Sarantos +2 more
core
A mathematical model of the in-line control of the insulation resistance state for cathodically polarized main pipelines according to electrometry data is considered.
Vladimir N. Krizskii +3 more
doaj
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source

