Showing 1–20 of 32 results
/ Date/ Name
Sep 10, 2011The solubility of indium in liquid gallium supercooled to 12 KJan 27, 2015Thermodynamic model of solute site preferences in ordered alloysSep 10, 2011Diffusion in LanCoIn3n+2 phases studied by perturbed angular correlationMar 25, 2014Impurity diffusion in highly-ordered intermetallic compounds studied by nuclear quadrupole interactionsJul 1, 2016Solute-solute interactions in intermetallic compoundsSep 13, 2011Comparison of jump frequencies of 111In/Cd tracer atoms in Sn3R and In3R phases having the L12 structure (R = rare-earth)Oct 10, 2012Determination of the crystal structures of In70-Ni30 and In70-Pd30 using perturbed angular correlationMay 8, 2018Diffusion and equilibration of site-preferences following transmutation of tracer atomsJul 16, 2019Atom motion in solids following nuclear transmutationSep 10, 2011Diffusion in binary and pseudo-binary L12 indides, stannides, gallides and aluminides of rare-earth elements as studied using perturbed angular correlation of 111In/CdJul 1, 2016Trapping of solute atoms at grain boundaries in GdNi2Aug 26, 2016Site occupation of indium and jump frequencies of cadmium in FeGa3Sep 18, 2012Nuclear quadrupole interactions of 111In/Cd solute atoms in a series of rare-earth palladium alloysJul 21, 2023Bibliometric Analysis of Publisher and Journal Instructions to Authors on Generative-AI in Academic and Scientific PublishingJun 28, 2024Extended sample size calculations for evaluation of prediction models using a threshold for classificationJul 31, 2025A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomesNov 2, 2022Stability of clinical prediction models developed using statistical or machine learning methodsMar 16, 2026Code Sharing In Prediction Model Research: A Scoping ReviewMay 8, 2026Incorporating Missing Data Considerations into Sample Size Calculations for Developing Clinical Prediction ModelsDec 21, 2018Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness