1,722,994 research outputs found
Multi-objective optimisation and verification of creep-resistant Ni-base superalloy for electron-beam powder-bed-fusion
No full textThis paper reports the use of integrated computational alloy design, coupled with a rapid printability screening method, to downselect from a total of 70000 datasets in design space to five candidates in the first step, and then from five to one in the second step. The new Ni-base superalloy with compositions of Ni-5.03Al-2.69Co-5.63Cr-0.04Hf-1.91Mo-2.36Re-3.32Ta-0.57Ti-8.46W-0.05C-0.019B exhibits an optimal balance of density (8.82 g/cm2), printability (freezing range of 107 °C), thermal stability (γ′-volume fraction of 50.7 % at 980 °C and low value) and creep (rupture time of 612 h at 980 °C/120 MPa). The micro-hardness varies mildly from 417.2 ± 18.5 to 434.7 ± 14.6 HV, suggesting good phase stability. This is substantiated by microstructure observations, which revealed the absence of a topologically close-packed phase. Machine-learning tools of the artificial neural network (ANN), random forest, and support vector regression, respectively, were used to predict creep rupture time. The ANN algorithm achieves the highest accuracy in predicting creep life. By recognising the “black box” nature of the ANN, interpretability analysis was conducted using the local interpretable model-agnostic method. The analysis supports that the ANN model truly learned meaningful functional relationships, and thus is judged as reliable. Feature correlation evaluation outcome emphasises the importance of incorporating microstructure-related input features
University of Southampton co-ordinated response to: The NDA group Draft Strategy 2025 for public consultation
No full textThe University of Southampton's co-ordinated response to The NDA group Draft Strategy 2025 for public consultation
Activation volume and quantum tunneling in the hydrogen transfer reaction between methyl radical and methane: A first computational study
No full textWe present a theory of the effect of quantum tunneling on the basic parameter that characterizes the effect of pressure on the rate constant of chemical reactions in a dense phase, the activation volume. This theory results in combining, on the one hand, the extreme pressure polarizable continuum model, a quantum chemical method to describe the effect of pressure on the reaction energy profile in a dense medium, and, on the other hand, the semiclassical version of the transition state theory, which includes the effect of quantum tunneling through a transmission coefficient. The theory has been applied to the study of the activation volume of the model reaction of hydrogen transfer between methyl radical and methane, including the primary isotope substitution of hydrogen with deuterium (H/D). The analysis of the numerical results offers, for the first time, a clear insight into the effect of quantum tunneling on the activation volume for this hydrogen transfer reaction: this effect results from the different influences that pressure has on the competing thermal and tunneling reaction mechanisms. Furthermore, the computed kinetic isotope effect (H/D) on the activation volume for this model hydrogen transfer correlates well with the experimental data for more complex hydrogen transfer reactions
DongOpenPracticesDisclosure – Supplemental material for Visual Darkness Reduces Perceived Risk of Contagious-Disease Transmission From Interpersonal Interaction
No full text Supplemental material, DongOpenPracticesDisclosure for Visual Darkness Reduces Perceived
Risk of Contagious-Disease Transmission From Interpersonal Interaction by Ping Dong and
Chen-Bo Zhong in Psychological Science </p
DongSupplementalMaterial – Supplemental material for Visual Darkness Reduces Perceived Risk of Contagious-Disease Transmission From Interpersonal Interaction
No full text Supplemental material, DongSupplementalMaterial for Visual Darkness Reduces Perceived
Risk of Contagious-Disease Transmission From Interpersonal Interaction by Ping Dong and
Chen-Bo Zhong in Psychological Science </p
sj-pdf-1-jom-10.1177_01492063211040557 – Supplemental material for High Compensation and Unethical Reciprocity
No full textSupplemental material, sj-pdf-1-jom-10.1177_01492063211040557 for High Compensation and Unethical Reciprocity by Long Wang, Fei Song and Chen-Bo Zhong in Journal of Management</p
TAMU TRACER SMPS-POPS Merged Size Distribution
No full textThis data is generated using measurements collected during the 2022 DOE ARM TRACER field campaign. Aerosol size distribution data collected by the Scanning Mobility Particle Sizer (SMPS) is merged with data from the Portable Optical Particle Spectrometer (POPS). This merging process involves determining the aerosol refractive index used for POPS sizing to minimize discrepancies in the overlapping portion of the size distributions measured by SMPS and POPS
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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