Results 201 to 210 of about 100,967 (263)

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

Mechanical and Bond Performance of Alkali-Activated Slag Concrete Incorporating Natural and Recycled Diatoms. [PDF]

Materials (Basel)
Parra C, Belmonte IM, Calabuig Soler M, Benito F, Rodriguez C, Pacheco VM, Mateo JM, Carrión E, Torrano PH.   +8 more
europepmc   +1 more source

Region-segmented gate driver for mitigating RC delay in large-area automotive OLED displays. [PDF]

Sci Rep
Shim D, Hong SG, Jeong YM, Chung EH, Nam C, Jung S, Yang J, Kim HJ.   +7 more
europepmc   +1 more source

Alphafuser: a parsimonious approach to predicting higher-order protein complexes. [PDF]

Acta Crystallogr D Struct Biol
Guillotin A, Hutin S, Masselot-Joubert L, Hammani K, Zubieta C, Nanao M.   +5 more
europepmc   +1 more source

Slab tearing and its surface signals controlled by passive margin strength. [PDF]

Nat Commun
Maiti G, Andrić-Tomašević N, Balázs A, Eskens LHJ, Gerya T.   +4 more
europepmc   +1 more source

Ballistic Performance and Energy Dissipation Mechanisms of Epoxy Composites Reinforced with Raffia Fabric Under 9 mm Impact. [PDF]

Polymers (Basel)
Silva DS, Junio RFP, Bentes EM, Lopes TJ, Marchi BZ, Monteiro SN.   +5 more
europepmc   +1 more source

Research Progress and Prospects of Ultra-High-Temperature Ceramics: Experimentation, Multiscale Simulation and Data-Driven Design. [PDF]

Nanomaterials (Basel)
Qu N, Zhou W, Zhang W, Liu Y, Zheng L, Cao D, Tan M, Zhu J, Zhang X.   +8 more
europepmc   +1 more source

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Push and Pull Production Systems: Issues and Comparisons

Operations Research, 1992
Concerns about American manufacturing competitiveness compel new interest in alternative production control strategies. In this paper, we examine the behavior of push and pull production systems in an attempt to explain the apparent superior performance of pull systems.
Mark L Spearman, Michael A Zazanis
exaly   +3 more sources

Pull Production Systems

2021
This chapter aims to organize knowledge about pull production systems by presenting the underlying concepts of lean manufacturing as for its origin, principles, and relations with PPC. Pull production is one the fundamental principles of lean manufacturing, and its implementation can bring positive impacts.
Eduardo Guilherme Satolo, Milena Estanislau Diniz Mansur dos Reis, Robisom Damasceno Calado   +2 more
openaire   +1 more source

A push–pull queueing system

Operations Research Letters, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Anat Kopzon, Gideon Weiss
openaire   +1 more source