2026 Amanda S. Barnard: Materials Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Materials Science	62	6480	6266	203	202	287	13754

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Materials Science

6480

6266

203

202

287

13754

Overview

Amanda S. Barnard is affiliated with the Australian National University in Australia. Their research spans multiple disciplines, primarily focusing on Materials Science, Computer Science, and Engineering. Within these broader fields, Barnard has concentrated on subfields such as Materials Chemistry, Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, and Mechanical Engineering.

The scientist's work addresses several main topics, including Machine Learning in Materials Science, Computational Drug Discovery Methods, Diamond and Carbon-based Materials Research, Explainable Artificial Intelligence (XAI), Advanced Memory and Neural Computing, Graphene Research and Applications, and Machine Learning and Data Classification.

Barnard has contributed articles to numerous publication venues, with a particular frequency in Advanced Theory and Simulations, Machine Learning Science and Technology, arXiv (Cornell University), Cell Reports Physical Science, and Chemistry of Materials.

Frequent collaborators in Barnard's research include Sichao Li, George Opletal, Jonathan Y. C. Ting, Amanda Parker, and Tommy Liu, reflecting consistent interdisciplinary partnerships.

Recent papers authored or co-authored by Barnard showcase a range of topics and venues:

"Liquid metal synthesis solvents for metallic crystals," 2022, Science
"Towards developing multiscale-multiphysics models and their surrogates for digital twins of metal additive manufacturing," 2021, Additive Manufacturing
"Machine learning-assisted in-situ adaptive strategies for the control of defects and anomalies in metal additive manufacturing," 2024, Additive Manufacturing
"The data-intensive scientific revolution occurring where two-dimensional materials meet machine learning," 2021, Cell Reports Physical Science
"Inverse Design of MXenes for High-Capacity Energy Storage Materials Using Multi-Target Machine Learning," 2022, Chemistry of Materials

Best Publications

Prediction of TiO2 nanoparticle phase and shape transitions controlled by surface chemistry.

A. S. Barnard;L. A. Curtiss

777
Citations
Observation and control of blinking nitrogen-vacancy centres in discrete nanodiamonds

C Bradac;T. Gaebel;N. Naidoo;Matthew Sellars

587
Citations
Naturally occurring iron oxide nanoparticles: morphology, surface chemistry and environmental stability

Haibo Guo;Amanda S. Barnard

342
Citations
A model for the phase stability of arbitrary nanoparticles as a function of size and shape

Amanda S. Barnard;Peter Zapol

330
Citations
Nanogold: A Quantitative Phase Map

Amanda S. Barnard;Neil P. Young;Angus I. Kirkland;Marijn A. van Huis

286
Citations
Effects of particle morphology and surface hydrogenation on the phase stability of Ti O 2

A. S. Barnard;P. Zapol

279
Citations
Crystallinity and surface electrostatics of diamond nanocrystals

Amanda S. Barnard;Michael Sternberg

261
Citations
Modeling the Morphology and Phase Stability of TiO2 Nanocrystals in Water

Barnard As;Zapol P;Curtiss La

254
Citations
Size, Shape, Stability, and Color of Plasmonic Silver Nanoparticles

A. L. González;Cecilia Noguez;J. Beránek;J. Beránek;A. S. Barnard

246
Citations
Modelling of nanoparticles: approaches to morphology and evolution

A S Barnard

236
Citations
Diamond standard in diagnostics: nanodiamond biolabels make their mark

Amanda S. Barnard

206
Citations
Equilibrium Morphology of Face-Centered Cubic Gold Nanoparticles >3 nm and the Shape Changes Induced by Temperature

Amanda S. Barnard;X. M. Lin;Larry A. Curtiss

189
Citations
Towards chromate-free corrosion inhibitors: structure–property models for organic alternatives

David Alan Winkler;Michael Breedon;Anthony E Hughes;Frank Robert Burden

184
Citations
Visualization of Hybridization in Nanocarbon Systems

A. S. Barnard;S. P. Russo;I. K. Snook

181
Citations
Self-assembly in nanodiamond agglutinates

Amanda S. Barnard

178
Citations
Thermodynamic modelling of nanomorphologies of hematite and goethite

Haibo Guo;Amanda S. Barnard

171
Citations
Nanodiamond Photoemitters Based on Strong Narrow‐Band Luminescence from Silicon‐Vacancy Defects

Igor I. Vlasov;Amanda S. Barnard;Victor G. Ralchenko;Oleg I. Lebedev

171
Citations
Shaping Nanometer‐Scale Architecture Through Surface Chemistry

Zoran V. Saponjic;Nada M. Dimitrijevic;David M. Tiede;Andrew J. Goshe

169
Citations
Predicting the Energetics, Phase Stability, and Morphology Evolution of Faceted and Spherical Anatase Nanocrystals

Amanda S. Barnard;Peter Zapol

155
Citations
Coexistence of bucky diamond with nanodiamond and fullerene carbon phases

A. S. Barnard;S. P. Russo;I. K. Snook

151
Citations
Effects of Particle Morphology and Surface Hydrogenation on the Phase Stability of TiO2 at the Nanoscale

Amanda S. Barnard;Peter Zapol

2
Citations