Results 91 to 100 of about 104,118 (299)
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 +2 more
wiley +1 more source
, 2019 Dry, wet, dense, and dilute granular flows have been previously considered fundamentally different and thus described by distinct, and in many cases incompatible, rheologies.
de Klerk, David N. +4 more
core +1 more source
Advanced Engineering Materials, EarlyView.This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo +3 more
wiley +1 more source
Nonparametric Hyperbox Granular Computing Classification Algorithms
Information, 2019 Parametric granular computing classification algorithms lead to difficulties in terms of parameter selection, the multiple performance times of algorithms, and increased algorithm complexity in comparison with nonparametric algorithms.
Hongbing Liu, Xiaoyu Diao, Huaping Guo
doaj +1 more source
Prediction and analysis of time series data based on granular computing. [PDF]
Front Comput Neurosci, 2023 Yin Y.
europepmc +1 more source
Perspectives of granular computing [PDF]
2005 IEEE International Conference on Granular Computing, 2005 Granular computing emerges as a new multi-disciplinary study and has received much attention in recent years. A conceptual framework is presented by extracting shared commonalities from many fields. The framework stresses multiple views and multiple levels of understanding in each view. It is argued that granular computing is more about a philosophical
openaire +1 more source
Examples of Artificial Perceptions in Optical Character Recognition and Iris Recognition
, 2012 This paper assumes the hypothesis that human learning is perception based, and consequently, the learning process and perceptions should not be represented and investigated independently or modeled in different simulation spaces.
A.M. Turing +6 more
core +1 more source
Advanced Engineering Materials, EarlyView.The low cycle fatigue life of additive manufactured HAYNES® 282® superalloy was investigated for conventional and high‐productivity processing: samples of the former lasted 1400–1700 cycles, while samples of the latter failed at ~ 1200 cycles, at 760 °C and 1% strain.
Abdul Shaafi Shaikh +3 more
wiley +1 more source
Methods of parallel computation applied on granular simulations
EPJ Web of Conferences, 2017 Every year, parallel computing has becoming cheaper and more accessible. As consequence, applications were spreading over all research areas. Granular materials is a promising area for parallel computing.
Martins Gustavo H. B. +1 more
doaj +1 more source
Research on Embedded Multifunctional Data Mining Technology Based on Granular Computing. [PDF]
Comput Intell Neurosci, 2022 Li J, Tian X.
europepmc +1 more source