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Showing results 1 to 20 of 31
ChemCatChem 12 (2020) 5109.pdf.jpg

Accurate prediction of binding energies for two‐dimensional catalytic materials using machine learning

Author(s)Melisande Fischer, Julia; Hunter, Michelle; Hankel, Marlies, et al
TypeJournal article
Date Published2020
Date Created-

Best Practice Leads to the Best Materials Informatics

Author(s)Barnard, Amanda
TypeJournal article
Date Published1-Jul-2020
Date Created-
Adv Theory Simul 5 (2022) 2200330.pdf.jpg

Causal Paths Allowing Simultaneous Control of Multiple Nanoparticle Properties Using Multi‐Target Bayesian Inference

Author(s)Ting, Jonathan Y. C.; Li, Sichao; Barnard, Amanda
TypeJournal article
Date Published2022
Date Created-

Charge-dependent Fermi level of graphene oxide nanoflakes from machine learning

Author(s)Motevalli, Benyamin; Fox, Bronwyn L.; Barnard, Amanda
TypeJournal article
Date Published2022
Date Created-
J Appl Phys 128 (2020) 014301.pdf.jpg

Classification of platinum nanoparticle catalysts using machine learning

Author(s)Parker, A. J.; Opletal, G.; Barnard, Amanda
TypeJournal article
Date Published1-Jul-2020
Date Created-

Data-driven causal inference of process-structure relationships in nanocatalysis

Author(s)Ting, Jonathan YC; Barnard, Amanda
TypeJournal article
Date Published2022
Date Created-
Cell Rep Phys Sci 2 (2021) 100482.pdf.jpg

The data-intensive scientific revolution occurring where two-dimensional materials meet machine learning

Author(s)Yin, Hang; Sun, Zhehao; Wang, Zhuo, et al
TypeJournal article
Date Published2021
Date Created-

Dynamic self-assembly of detonation nanodiamond in water

Author(s)Chang, Shery L. Y.; Reineck, Philipp; Williams, Dewight, et al
TypeJournal article
Date Published7-Mar-2020
Date Created-

Enhancing classical gold nanoparticle simulations with electronic corrections and machine learning

Author(s)Stocks, Ryan; Barnard, Amanda
TypeJournal article
Date Published24-Jun-2021
Date Created-
Cell Rep Phys Sci 3 (2022) 100696.pdf.jpg

Explainable prediction of N-V-related defects in nanodiamond using neural networks and Shapley values

Author(s)Barnard, Amanda
TypeJournal article
Date Published19-Jan-2022
Date Created-
Mach Learn Sci Tech 2 (2021) 035034.pdf.jpg

Fast derivation of Shapley based feature importances through feature extraction methods for nanoinformatics

Author(s)Liu, Tommy; Barnard, Amanda
TypeJournal article
Date Published2021
Date Created-

Impact of atomistic or crystallographic descriptors for classification of gold nanoparticles

Author(s)Zhang, Haonan; Barnard, Amanda
TypeJournal article
Date Published15-Jul-2021
Date Created-

The impact of domain-driven and data-driven feature selection on the inverse design of nanoparticle catalysts

Author(s)Li, Sichao; Ting, Jonathan Y.C.; Barnard, Amanda
TypeJournal article
Date Published2022
Date Created-
J Phys Mater 4 (2021) 041001.pdf.jpg

Interfacial informatics

Author(s)Fischer, Julia Melisande; Parker, Amanda; Barnard, Amanda
TypeJournal article
Date Published2021
Date Created-

Inverse Design of MXenes for High-Capacity Energy Storage Materials Using Multi-Target Machine Learning

Author(s)Li, Sichao; Barnard, Amanda
TypeJournal article
Date Published2022
Date Created-
Adv Theory Simul 5 (2022) 2100414.pdf.jpg

Inverse Design of Nanoparticles Using Multi‐Target Machine Learning

Author(s)Li, Sichao; Barnard, Amanda
TypeJournal article
Date Published7-Dec-2021
Date Created-

Liquid metal synthesis solvents for metallic crystals

Author(s)Idrus-Saidi, Shuhada A; Tang, Jianbo; Lambie, Stephanie, et al
TypeJournal article
Date Published9-Dec-2022
Date Created-

Machine learning reveals multiple classes of diamond nanoparticles

Author(s)Parker, Amanda J; Barnard, Amanda
TypeJournal article
Date Published2020
Date Created-

Optimization-Free Inverse Design of High-Dimensional Nanoparticle Electrocatalysts Using Multi-target Machine Learning

Author(s)Li, Sichao; Ting, Jonathan Y. C.; Barnard, Amanda
TypeJournal article
Date Published2022
Date Created-
Adv Theory Simul 5 (2022) 2200013.pdf.jpg

Predicting the Probability of Observation of Arbitrary Graphene Oxide Nanoflakes Using Artificial Neural Networks

Author(s)Motevalli, Benyamin; Hyde, Lachlan; Fox, Bronwyn L., et al
TypeJournal article
Date Published2022
Date Created-

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