Results 181 to 190 of about 2,800 (259)

A study on surface tension gradient flow of viscoelastic tetra hybrid nanofluid over a Riga plate with elastic deformation for improving thermal efficiency in industrial systems. [PDF]

Discov Nano
Faqihi AA, Chlahbi S, Liaqat S, Norberdiyeva M, Akgül A, Hassani MK.   +5 more
europepmc   +1 more source

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

Advanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich, Lenka Kunčická, Pavel Czernek, Zifan Wang   +3 more
wiley   +1 more source

Identification of a novel fiber shaft structural motif and overexpression of key transcripts elucidated in human adenovirus D 10. [PDF]

PLoS Pathog
Mundy RM, Waraich K, Bates EA, Rizkallah PJ, Baker AT, Young MT, Morris E, da Fonseca PCA, Bliss CM, Matthews D, Bhella D, Parker AL.   +11 more
europepmc   +1 more source

Understanding the Stochastic Nature of Process Parameter Development of Blown Powder Laser Beam Directed Energy Deposition Additive Manufacturing of Pure Molybdenum

Advanced Engineering Materials, EarlyView.
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies, Daniel E. Driemeyer, Aaron P. Stebner   +2 more
wiley   +1 more source

Structural modifications in strain-engineered bilayer nickelate thin films. [PDF]

Nature
Bhatt L, Abarca Morales E, Jiang AY, Ko EK, Zhao YF, Schnitzer N, Pan GA, Ferenc Segedin D, Liu Y, Yu Y, Brooks CM, Botana AS, Hwang HY, Mundy JA, Muller DA, Goodge BH.   +15 more
europepmc   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Structural insights into a rhombic Penrose tiling variant abundant in five-petaled flower motifs. [PDF]

Sci Rep
Fujita N, Niizeki K.
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

FTIR spectroscopy and VSC-based colour assessment dataset for comparative analysis of cremated bones. [PDF]

Data Brief
Lillak A, Thompson T, Tõrv M, Oras E.
europepmc   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source