Results 101 to 110 of about 469,634 (251)

Crystal structure of 2-acetyl-5-(3-methoxyphenyl)-3,7-dimethyl-5H-1,3-thiazolo[3,2-a]pyrimidine-6-carboxylate

Acta Crystallographica Section E, 2014
In the title molecule, C20H22N2O4S, the pyrimidine ring is in a flattened half-chair conformation and the 3-methoxyphenyl substituent is in an axial arrangement. The thiazole ring forms a dihedral angle of 81.3 (1)° with the benzene ring. In the crystal,
N. L. Prasad, M. S. Krishnamurthy, H. Nagarajaiah, Noor Shahina Begum   +3 more
doaj   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Crystal structure and Hirshfeld surface analysis of 5-methyl-1,2,4-triazolo[1,5-a]pyrimidine

Acta Crystallographica Section E: Crystallographic Communications, 2018
The nine-membered ring system of the title compound, C6H6N4, is essentially planar. In the crystal, molecules are linked via C—HTrz...NTrz and C—HPyrm...NTrz (Trz = triazole and Pyrm = pyrimidine) hydrogen bonds together with weaker C—HPyrm...NPyrm ...
Sanae Lahmidi, Nada Kheira Sebbar, Tuncer Hökelek, Karim Chkirate, Joel T. Mague, El Mokhtar Essassi   +5 more
doaj   +1 more source

N-(4-Bromophenyl)methoxycarbothioamide [PDF]

, 2018
The synthesis, spectroscopic and crystallographic characterisation of the title compound, O-methyl-N-4-bromophenyl thiocarbamate, MeOC(=S)N(H)PhBr-4 (1), are described.
Tiekink, Edward R. T. *, Yeo, Chien Ing *   +1 more
core   +2 more sources

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

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

2,2'-{2-[(E)-3-Phenylprop-2-enyl]-2,3-dihydro-1H-isoindol-1,3-diylidene}dimalononitrile, a π-deficient system for π...π (1:1) stacking investigations [PDF]

, 2001
The title compound, C₂₃H₁₃N₅, derived from cinnamyl alcohol and 2,2'-(isoindolin-1,3-diylidene)bispropanedinitrile, is a heterocyclic TCNQ analogue of interest as an electron-deficient component in charge-transfer complexes.
Crean, Colm, Gallagher, John F., Pratt, Albert C.   +2 more
core   +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

Crystal structure of flufenoxuron: a benzoylurea pesticide

Acta Crystallographica Section E, 2014
The title compound, C21H11ClF6N2O3 (systematic name: 1-{4-[2-chloro-4-(trifluoromethyl)phenoxy]-2-fluorophenyl}-3-(2,6-difluorobenzoyl)urea), is a benzoylurea pesticide.
Youngeun Jeon, Gihaeng Kang, Sangjin Lee, Tae Ho Kim   +3 more
doaj   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source