Results 161 to 170 of about 1,682,433 (269)

Machine learning models for volume and weight estimation in breast reconstruction planning. [PDF]

Health Inf Sci Syst
Teo SP, See MH, Lai LL, Wong LK, Nagappan S, See J, Rahmat K, Ong TA, Tan MISMH, Ng KH.   +9 more
europepmc   +1 more source

Is Young's Modulus a Critical Coating Property Determining Fouling‐Release Performance of Marine Coatings?

Advanced Engineering Materials, EarlyView.
The release of foulers from protective marine coatings is determined by several interrelated material properties, including the strength of Young's modulus, the flexibility of chain segments, the surface free energy, and the magnitude of hydrodynamic stress.
Johann C. Schaal, Andreas Brinkmann, Andreas Hartwig   +2 more
wiley   +1 more source

Model-free prognostication of non-linear time series. [PDF]

PLoS One
Wu X, Rai SN, Weber GF.
europepmc   +1 more source

A Concept of a Digital and Traceable Manufacturing Documentation Based on Formalized Process Description Applied on Composite Aircraft Moveable

Advanced Engineering Materials, EarlyView.
The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker, Dominik Delisle, Christian Krombholz, Martin Rädel, Frank Dressel   +4 more
wiley   +1 more source

Performance Analysis of Boosting-Based Machine Learning Models for Predicting the Compressive Strength of Biochar-Cementitious Composites. [PDF]

Materials (Basel)
Kim J, Ryu D, Hwan H, Lee H.
europepmc   +1 more source

An Inkjet‐Printed Platinum‐Based Temperature Sensing Element on Polyimide Substrates

Advanced Engineering Materials, EarlyView.
An inkjet‐printed, meander‐structured, nanoparticle platinum‐based resistive temperature sensors on polyimide substrates are demonstrated as proof‐of‐concept. Optimized sintering at 250°C enables stable conductive structures. The Pt100‐ and Pt1000‐type sensors exhibit linear resistance–temperature characteristics with stable TCR in the 20°C–80°C range,
Shawon Alam, Thomas Kister, Alexander Scholz, Sophie Sauva, Makara Lay, Tobias Kraus, Jasmin Aghassi‐Hagmann   +6 more
wiley   +1 more source

ASAS-NANP Symposium: mathematical modeling in animal nutrition: construction of supervised machine learning regression pipelines for livestock data modeling: a case studys. [PDF]

J Anim Sci
Tulpan D, Tedeschi LO, Menendez H, Vieira RAM.   +3 more
europepmc   +1 more source

Enabling Digital Continuity in Virtual Manufacturing for Eco‐Efficiency Assessment of Lightweight Structures by Means of a Domain‐Specific Structural Mechanics Language: Requirements, Idea and Proof of Concept

Advanced Engineering Materials, EarlyView.
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel, Andreas Schuster, Felix Schoenitz, Jean Lefèvre   +3 more
wiley   +1 more source

Application-oriented classification and performance analysis of precision linear feed mechanisms for machine tools. [PDF]

Sci Prog
Zhou J, Yu H, He M, Zhang Y, Luan X, Liu Y.   +5 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced 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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source