Results 201 to 210 of about 218,041 (382)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Predictions From Evolutionary Theory for Urban Environments. [PDF]

Evol Appl
MacPherson A, Caizergues AE, Savary P, Xu K, Messer PW, Akbar MN, Fortin MJ, Holt RD, Hoi AG, Mideo N, Ness R, Peres-Neto PR, Santangelo JS, Johnson MTJ.   +13 more
europepmc   +1 more source

The Rightmost Particle of the Contact Process on Dynamic Random Environments [PDF]

Isabella Alvarenga, Aurelia Deshayes
openalex   +1 more source

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

Advanced Engineering Materials, EarlyView.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera, Philippe Marrec, A. Jorge Parola, Madalena Dionísio, Hugo Águas, Andreia F. M. Santos, Hamed Pourkheirollah, Donald Lupo, César A. T. Laia   +8 more
wiley   +1 more source

Molecular basis for adaptive evolution of aromatic degradation enzymes in bacteria revealed by metagenomics. [PDF]

Front Microbiol
Suenaga H, Fujihara H.
europepmc   +1 more source

Resistance dimensions of branching processes in varying environments trees

In this paper we pursue our study, in Konsowa and Oraby 2003a. [Dimensions of random trees. Statist. Probab. Lett. 62(1), 49-60] and Konsowa and Oraby 2003b. [Fractal dimensions and random walks on random trees. J. Statist. Plann.
Konsowa, Mokhtar H., Oraby, Tamer F.
core  

Normalizing constants for branching processes in random environments (B.P.R.E.)

, 1978
David Tanny
semanticscholar   +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

Interannual Bacterial Diversity Variability in Antarctic Snow/Ice Samples in the Vicinity of Concordia Station. [PDF]

Life (Basel)
Stoppiello GA, Belmonte-Lopes R, Ripa C, Billi D, Selbmann L.   +4 more
europepmc   +1 more source

Parallel mutation-reproduction processes in random environments

, 2013
Ying Wang
openalex   +2 more sources