Results 141 to 150 of about 63,575 (285)

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

A Thermodynamic 3D Model for the Simulation of Diffusion‐Controlled Alloying Processes in Heterogeneous Material Structures

Advanced Engineering Materials, EarlyView.
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer, Leonhard Holländer, André Langohr, Hans Jürgen Maier   +3 more
wiley   +1 more source

Motivation-related influences on fNIRS signals during walking exercise: a permutation entropy approach. [PDF]

Exp Brain Res, 2023
Schwab SM, Cooper D, Carver NS, Doren S, Boyne P.   +4 more
europepmc   +1 more source

Electrical Conductivities of Conductors, Semiconductors, and Their Mixtures at Elevated Temperatures

Advanced Engineering Materials, EarlyView.
This article presents a comprehensive review of temperature‐dependent electrical conductivity data for multiple material classes at elevated temperatures, highlighting a persistent conductivity gap between metals and semiconductors in the range of 102$\left(10\right)^{2}$– 107$\left(10\right)^{7}$ S/m. Metal–ceramic irregular metamaterials are proposed
Valentina Torres Nieto, Marcia A. Cooper
wiley   +1 more source

Permutations and the Kolmogorov-Sinai entropy

Discrete & Continuous Dynamical Systems - A, 2012
This paper provides a way for determining the Kolmogorov-Sinai entropy of time-discrete dynamical systems on the base of quantifying ordinal patterns obtained from a finite set of observables. As a consequence, it is shown that the Kolmogorov-Sinai entropy is bounded from above by a quantity which generalizes the concept of permutation entropy. In this
openaire   +1 more source

Impact of Pre‐Oxidation Treatments on a Recycled MgO/Steel‐Composite as Carbon Free Anode in Aluminum‐Electrolysis Environments

Advanced Engineering Materials, EarlyView.
Cermets (60 vol.% AISI 316L stainless steel, 40 vol.% recycled MgO), intended for use in aluminum electrolysis, were pre‐oxidized in three furnaces with different heating technologies and subjected to a cryolite corrosion test. The different atmospheres influenced the formation of oxide layers, which in turn affected corrosion resistance and ...
Patricia Kaiser, Felix Drechsler, Nora Brachhold, Florian Kerber, Christos G. Aneziris   +4 more
wiley   +1 more source

Remaining Useful Life Prediction of Rolling Bearings Based on Multi-scale Permutation Entropy and ISSA-LSTM. [PDF]

Entropy (Basel), 2023
Wang H, Zhang X, Ren M, Xu T, Lu C, Zhao Z.   +5 more
europepmc   +1 more source

Rafting of Ni‐Based Superalloys Under Multiaxial Load as Understood by Phase‐Field Simulations and Critical Experiments

Advanced Engineering Materials, EarlyView.
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan, David Bürger, Gunther Eggeler, Oleg Shchyglo, Ingo Steinbach, Muhammad Adil Ali   +5 more
wiley   +1 more source

Permutation entropy is not an age-independent parameter for EEG-based anesthesia monitoring. [PDF]

Front Aging Neurosci, 2023
Hight D, Obert DP, Kratzer S, Schneider G, Sepulveda P, Sleigh J, García PS, Kreuzer M.   +7 more
europepmc   +1 more source

Numerical Exploration of Thermal Shock Resistance in MgO–C Refractories

Advanced Engineering Materials, EarlyView.
A mesostructure‐resolved numerical framework is developed to evaluate the thermal shock resistance of MgO–C refractories. By modeling interface debonding under rapid temperature changes and introducing a modified thermal shock parameter that accounts for mesocracks, the study shows how graphite content and aggregate size influence thermal shock ...
Jishnu Vinayak Gopi, Stephan Roth, Christos G. Aneziris, Bjoern Kiefer   +3 more
wiley   +1 more source