Results 111 to 120 of about 217,674 (248)
[Imaginary Landscapes Student Demos 34]
Wet on wet landscape in black, blue, brown and yellow. On same sheet as [Imaginary Landscapes Student Demos 35]Tiff file: 3360x2340 pixels, 22.5 Mb; Display: jpeg, 557x800 pixels ...
Father Edward Catich
core +1 more source
This article presents a literary analysis of the imaginary universe in Corin Braga’s prose work "Ventrilocul", with a particular focus on elements of rupture and the ways in which transgenerational traumas can shape the destiny of the characters.
Constantin IVANOV
doaj +1 more source
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
[Finished Imaginary Landscapes 17]
Wet on wet landscape of 4 figures walking on brown path with white houses, trees and telephone poles in background. On same sheet with [Finished Imaginary Landscapes 16]Tiff file: 2020x1630 pixels, 9.42 Mb; Display: jpeg, 543x673 pixels ...
Father Edward Catich
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[Finished Imaginary Landscapes 10]
Landscape of 2 figures skating on a creek with dark blue sky. Matted with [Finished Imaginary Landscapes 26]Tiff file: 2010x1370 pixels, 7.88 Mb; Display: jpeg, 457x670 pixels ...
Catich, Father Edward Catich
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Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley +1 more source
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
[Imaginary Landscapes Student Demos 28]
Wet on wet landscape in blue, brown and grey. On same sheet as [Imaginary Landscapes Student Demos 27]Tiff file: 3340x2030 pixels, 19.4 Mb; Display: jpeg, 486x800 pixels ...
Father Edward Catich
core
Investigating the Low‐Temperature Phase Stability of the Binary Ta–W System
Atomistic simulations show that the binary Ta–W system forms ordered intermetallic phases, B2‐TaW and D03‐TaW3, as 0 K ground states. Configurational entropy, however, lowers the free energy of the disordered bcc solid solution, which becomes the stable phase above about 400 K.
Klemens Lechner +7 more
wiley +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source

