Articles avec mandats d'accès public - Amanda S. BarnardEn savoir plus
Non disponibles : 3
Naturally occurring iron oxide nanoparticles: morphology, surface chemistry and environmental stability
H Guo, AS Barnard
Journal of Materials Chemistry A 1 (1), 27-42, 2013
Exigences : Australian Research Council
Modeling the impact of alkanethiol SAMs on the morphology of gold nanocrystals
AS Barnard
Crystal growth & design 13 (12), 5433-5441, 2013
Exigences : Australian Research Council
Distribution, Diffusion and Concentration of Defects in Colloidal Diamond
AS Barnard
Exigences : Australian Research Council
3 articles dont l'importation est refusée
Three‐dimensional branched and faceted gold–ruthenium nanoparticles: using nanostructure to improve stability in oxygen evolution electrocatalysis
L Gloag, TM Benedetti, S Cheong, Y Li, XH Chan, LM Lacroix, SLY Chang, ...
Angewandte Chemie 130 (32), 10398-10402, 2018
Exigences : Australian Research Council, German Research Foundation, European Commission …
Auteurs responsables : RD Tilley
Relative stability of graphene nanoflakes under environmentally relevant conditions
H Shi, L Lai, IK Snook, AS Barnard
The Journal of Physical Chemistry C 117 (29), 15375-15382, 2013
Exigences : Australian Research Council
Auteurs responsables : IK Snook
On reverse Monte Carlo constraints and model reproduction
G Opletal, TC Petersen, AS Barnard, SP Russo
Journal of Computational Chemistry 38 (17), 1547-1551, 2017
Exigences : Australian Research Council
Auteurs responsables : G Opletal
Disponibles quelque part : 22
Size, shape, stability, and color of plasmonic silver nanoparticles
AL González, C Noguez, J Beránek, AS Barnard
The Journal of Physical Chemistry C 118 (17), 9128-9136, 2014
Exigences : Australian Research Council
Towards developing multiscale-multiphysics models and their surrogates for digital twins of metal additive manufacturing
DR Gunasegaram, AB Murphy, A Barnard, T DebRoy, MJ Matthews, ...
Additive Manufacturing 46, 102089, 2021
Exigences : US Department of Energy
Liquid metal synthesis solvents for metallic crystals
SA Idrus-Saidi, J Tang, S Lambie, J Han, M Mayyas, MB Ghasemian, ...
Science 378 (6624), 1118-1124, 2022
Exigences : Australian Research Council
The data-intensive scientific revolution occurring where two-dimensional materials meet machine learning
H Yin, Z Sun, Z Wang, D Tang, CH Pang, X Yu, AS Barnard, H Zhao, Z Yin
Cell Reports Physical Science 2 (7), 2021
Exigences : Australian Research Council, National Natural Science Foundation of China
Counting vacancies and nitrogen-vacancy centers in detonation nanodiamond
EŌRJN Shery L. Y. Chang, Amanda S. Barnard, Christian Dwyer, Chris B ...
Nanoscale 8 (20), 10548-10552, 2016
Exigences : UK Engineering and Physical Sciences Research Council, European Commission
Morphological and phase stability of zinc blende, amorphous and mixed core–shell ZnS nanoparticles
AS Barnard, CA Feigl, SP Russo
Nanoscale 2 (10), 2294-2301, 2010
Exigences : US National Institutes of Health
Dynamic self-assembly of detonation nanodiamond in water
SLY Chang, P Reineck, D Williams, G Bryant, G Opletal, SA El-Demrdash, ...
Nanoscale 12 (9), 5363-5367, 2020
Exigences : US National Science Foundation
Size-and shape-dependence of the graphene to graphane transformation in the absence of hydrogen
AS Barnard, IK Snook
Journal of Materials Chemistry 20 (46), 10459-10464, 2010
Exigences : US National Institutes of Health
Can hematite nanoparticles be an environmental indicator?
H Guo, H Xu, AS Barnard
Energy & Environmental Science 6 (2), 561-569, 2013
Exigences : Australian Research Council
Machine learning-assisted in-situ adaptive strategies for the control of defects and anomalies in metal additive manufacturing
DR Gunasegaram, AS Barnard, MJ Matthews, BH Jared, AM Andreaco, ...
Additive Manufacturing, 104013, 2024
Exigences : US Department of Energy
Modeling polydispersive ensembles of diamond nanoparticles
AS Barnard
Nanotechnology 24 (8), 085703, 2013
Exigences : Australian Research Council
Inverse Design of Nanoparticles Using Multi‐Target Machine Learning
S Li, AS Barnard
Advanced Theory and Simulations 5 (2), 2100414, 2022
Exigences : US National Institutes of Health
Ripple induced changes in the wavefunction of graphene: an example of a fundamental symmetry breaking
AS Barnard, IK Snook
Nanoscale 4 (4), 1167-1170, 2012
Exigences : US National Institutes of Health
Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis
W Huang, H Suominen, T Liu, G Rice, C Salomon, AS Barnard
Journal of Biomedical Informatics 141, 104365, 2023
Exigences : National Health and Medical Research Council, Australia, Medical Research …
Les informations concernant la publication et le financement sont déterminées automatiquement par un programme informatique