Fourth Report Of The Private International Law Committee (Formal Validity Of Wills) [PDF]
J. H. C. Morris
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Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
Closure to “Discussions of ‘Validity of Time-Compensated Temperature Parameters for Correlating Creep and Creep-Rupture Data’” (1956, Trans. ASME, 78, pp. 1429–1432) [PDF]
F. Garofalo, G. V. Smith, B. W. Royle
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The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
Petra Smolková +2 more
doaj +1 more source
Translation and psychometric evaluation of the Persian version of the nurse team resilience scale in the context of cardiopulmonary resuscitation. [PDF]
Rajaee M +3 more
europepmc +1 more source
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Validation of the Eight-Item Paranoid Thoughts Scale (GPTS-8) in Tunisian Arab Adults. [PDF]
Fekih-Romdhane F +5 more
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Scenario-Based Simulation for Pain Assessment and Control in a Postanesthesia Care Unit. [PDF]
Santiago ECL +5 more
europepmc +1 more source

