Results 131 to 140 of about 8,161,576 (257)
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
The influence of return bends on the downstream pressure drop and condensation heat transfer in tubes [PDF]
, 1971 The influence of return bends on the downstream pressure drop and heat transfer coefficient of condensing refrigerant R-12 was studied experimentally. Flow patterns in glass return bends of 1/2 to 1 in. radius and 0.315 in. I. D.
Traviss, Donald P., Rohsenow, Warren M.
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AerospaceMachine learning has demonstrated significant potential as a valuable tool for aerodynamic design. However, collecting an abundant training set is usually computationally expensive and time-consuming.
Yining Lian +3 more
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 +17 more
wiley +1 more source
Energy transfer, Dakota Access Pipeline Project
Energy T ransfer Dakota Access Pipeline Project August 20, 2014 ENERGY TRANSFER USAGE DAPL0071137Suggested Meeting Agenda Introduction of Attendees Project Description Iowa and Illinois Counties Being Crossed USACE Jurisdictional Boundaries/Buffers ...
Energy Transfer Partners, L.P.;
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Transfer Learning with Spinally Shared Layers [PDF]
Transfer-learned models have achieved promising performance in numerous fields. However, high-performing transfer-learned models contain a large number of parameters.
Mondal, Subrota Kumar +4 more
core +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
Transfer in Reinforcement Learning via Shared Features
, 2012 We present a framework for transfer in reinforcement learning based on the idea that related tasks share some common features, and that transfer can be achieved via those shared features.
Scheidwasser, Ilya +2 more
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The PRIMA Thesaurus for Materials Science and Engineering
Advanced Engineering Materials, EarlyView.The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
The measurement of transfer using return on investment
, 2013 Research into transfer of learning was originally focused on outcomes’ evaluation in terms of reaction, learning, behavior, and results. Outcomes’ evaluation, widely accepted by practitioners, is criticized by researchers seeking a more systemic approach
Donovan, Paul, Paul Donovan
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