Results 181 to 190 of about 4,196,815 (305)

Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys

Advanced Engineering Materials, EarlyView.
This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa, Aparna Saksena, Alesander Kostka, Pascal Thome, Felicitas Scholz, Alexandre Mussi, Christoph Somsen, Baptiste Gault, Jan Frenzel, Gunther Eggeler   +9 more
wiley   +1 more source

Correction: Predicting camouflage treatment outcomes in skeletal class III malocclusion using machine learning. [PDF]

Sci Rep
Koh J, Kim YH, Kim N, Kim R, Song SI, Chae HS.   +5 more
europepmc   +1 more source

The Sheffield Scientific School [PDF]

The American Naturalist, 1870
openaire   +1 more source

Incorporation of Selenium into Sol–Gel‐Derived Bioactive Glass: Influence on Glass Structure, Bioactivity, and its Selective Cytotoxicity

Advanced Engineering Materials, EarlyView.
Selenium was incorporated into a sol–gel‐derived bioactive glass to enable sustained therapeutic ion release. The selenium‐containing glass preserved bioactivity while selectively inducing cytotoxicity in osteosarcoma cells and maintaining osteoblastic viability.
Breno Rocha Barrioni, Thalita Marcolan Valverde, Talita Martins, Guilherme Mattos Jardim Costa, Alfredo Miranda de Goes, Marcello Rosa Dumont, Eduardo Henrique Martins Nunes, Marivalda de Magalhães Pereira   +7 more
wiley   +1 more source

Retraction Note: Predictive modelling and identification of key risk factors for stroke using machine learning. [PDF]

Sci Rep
Hassan A, Ahmad SG, Munir EU, Khan IA, Ramzan N.   +4 more
europepmc   +1 more source

Scientific Research in Schools [PDF]

Nature, 1964
openaire   +2 more sources

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

Recycling of NiTi Shape Memory Alloys: Fundamental and Technological Aspects of a Vacuum Induction Melting Processing Route

Advanced Engineering Materials, EarlyView.
The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee, Son Tung Mai, Sarath Menon, Braulio Gadiel Sánchez Ortega, Ralf Drautz, Alexander Kauffmann, Gunther Eggeler, Jan Frenzel   +7 more
wiley   +1 more source

Correction: Automated computer vision and dose-response modeling improve throughput and accuracy of an ex vivo functional precision medicine platform. [PDF]

Sci Rep
Bell N, Buckley A, Mann B, Zhang X, Adefolaju A, Dasari R, Darawsheh R, Kram DE, Hingtgen S, Satterlee AB.   +9 more
europepmc   +1 more source

Scientific Research in Schools [PDF]

Nature, 1960
openaire   +1 more source