Results 271 to 280 of about 1,888,501 (343)

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Employee motivation in current literature: a systematic search

open access: yesEntrepreneurship and Sustainability Issues
Iveta Kmecová, Kateřina Jíchová
openaire   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Support needs of patients with COPD: a systematic literature search and narrative review. [PDF]

open access: yesInt J Chron Obstruct Pulmon Dis, 2018
Gardener AC   +3 more
europepmc   +1 more source

Micropleated Nanofibrous Filters for High‐Efficiency Submicron Aerosol Filtration: A Comparative Study with Chemical, Biological, Radiological, and Nuclear Gas Mask Filters

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents micropleated filters manufactured by needleless electrospinning. Nanofibers are deposited onto uniaxially pre‐stretched substrates that contract upon release, forming densely packed micropleats. This architecture increases effective surface area without enlarging the filter size, achieving quality factors comparable to those of ...
Aleksandr Fadeev   +6 more
wiley   +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

Investigating the Effects of Build Height on Mechanical Behavior of Large‐Scale Laser Wire Directed Energy Deposited Nickel Titanium Alloy

open access: yesAdvanced Engineering Materials, EarlyView.
Laser wire directed energy deposition process was leveraged to fabricate large scale NiTi alloy wall. Evaluation of build‐height‐dependent tribo‐mechanical properties revealed significant differences in location specific sample characteristics. The middle region achieved optimal performance (superior wear resistance, balanced strength‐ductility ...
Hyunsuk Choi   +5 more
wiley   +1 more source

Recent Advancements in Bulk Processing of Rare‐Earth‐Free Hard Magnetic Materials and Related Multiscale Simulations

open access: yesAdvanced Engineering Materials, EarlyView.
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley   +1 more source

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