Results 151 to 160 of about 92,471 (256)

Machine learning model for fast prediction and uncertainty quantification of needle deflection during prostate biopsy. [PDF]

Med Phys
Hoffman N, Al-Zogbi L, Krieger A, Tokuda J, Moreira P, Fuge M.   +5 more
europepmc   +1 more source

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur, Faruk Kaya, Bora Derin, Mustafa Lütfi Öveçoğlu, Ju Li, Duygu Ağaoğulları   +5 more
wiley   +1 more source

Mechanical response of high-porosity rocks under high triaxial confining pressure and experimental study of indentation tests. [PDF]

PLoS One
Gai J, Li W.
europepmc   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
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, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

When suffering becomes a game: a critical examination of gamification in medical education and its implications for compassion and empathy. [PDF]

Front Med (Lausanne)
Mohiyeddini C.
europepmc   +1 more source

Hancock's Applied Mechanics for Engineers

Nature, 1916
openaire   +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

Spatial scale of indentation explains shift in ratio between spinal cord gray and white matter stiffness. [PDF]

Sci Rep
Neumann O, Surana HV, Hintze M, Kuerten S, Franz T, Ramachandran RG, Steinmann P, Budday S.   +7 more
europepmc   +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

The In-Situ Mechanics of the Tricuspid Valve: Strain Heterogeneity and Anisotropy via 3D Digital Image Correlation. [PDF]

Exp Mech
LaRue TG, Haese CE, Pouch AM, Fuhg JN, Timek TA, Rausch MK.   +5 more
europepmc   +1 more source