Amanda S. Barnard
Australian National University
H-index: 57
Oceania-Australia
Top articles of Amanda S. Barnard
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Understanding the importance of individual samples and their effects on materials data using explainable artificial intelligence | Digital Discovery | Tommy Liu Zhi Yang Tho Amanda S Barnard | 2024 |
Advancing electron microscopy using deep learning | K Chen AS Barnard | 2024/2/8 | |
Diverse Explanations from Data-driven and Domain-driven Perspectives for Machine Learning Models | arXiv preprint arXiv:2402.00347 | Sichao Li Amanda Barnard | 2024/2/1 |
Graph Representation of Multi-dimensional Materials | Tong Cai Amanda J Parker Amanda S Barnard | 2024/4/11 | |
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 | 2024/2/1 | |
Sphractal: Estimating the Fractal Dimension of Surfaces Computed from Precise Atomic Coordinates via Box‐Counting Algorithm | Advanced Theory and Simulations | Jonathan Yik Chang Ting Andrew Thomas Agars Wood Amanda Susan Barnard | 2024/3/8 |
Inverse design of aluminium alloys using multi-targeted regression | Journal of Materials Science | Ninad Bhat Amanda S Barnard Nick Birbilis | 2024/1/19 |
Online Meta-learned Gradient Norms for Active Learning in Science and Technology | Machine Learning: Science and Technology | Haiqi Dong Amanda S Barnard Amanda J Parker | 2024/2/28 |
Classification of battery compounds using structure-free Mendeleev encodings | Journal of Cheminformatics | Zixin Zhuang Amanda S Barnard | 2024 |
Inverse Design of Aluminium Alloys Using Genetic Algorithm: A Class-Based Workflow | Metals | Ninad Bhat Amanda S Barnard Nick Birbilis | 2024/2/16 |
A Machine Learning Approach Towards Runtime Optimisation of Matrix Multiplication | Yufan Xia Marco De La Pierre Amanda S Barnard Giuseppe Maria Junior Barca | 2023/5/15 | |
Structure-Free Mendeleev Encodings of Material Compounds for Machine Learning | Chemistry of Materials | Zixin Zhuang Amanda S Barnard | 2023/10/5 |
Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis | Journal of Biomedical Informatics | Weitong Huang Hanna Suominen Tommy Liu Gregory Rice Carlos Salomon | 2023/5/1 |
Improving the prediction of mechanical properties of aluminium alloy using data-driven class-based regression | Computational Materials Science | Ninad Bhat Amanda S Barnard Nick Birbilis | 2023/9/1 |
Multi-target neural network predictions of MXenes as high-capacity energy storage materials in a Rashomon set | Cell Reports Physical Science | Sichao Li Amanda S Barnard | 2023/11/15 |
Complex Dispersion of Detonation Nanodiamond Revealed by Machine Learning Assisted Cryo-TEM and Coarse-Grained Molecular Dynamics Simulations | ACS Nanoscience Au | Inga C Kuschnerus Haotian Wen Juanfang Ruan Xinrui Zeng Chun-Jen Su | 2023/4/5 |
Importance of Structural Features and the Influence of Individual Structures of Graphene Oxide Using Shapley Value Analysis | Chemistry of Materials | Amanda S Barnard Bronwyn L Fox | 2023/8/25 |
Simultaneous Prediction and Optimization of Charge Transfer Properties of Graphene and Graphene Oxide Nanoflakes from Multitarget Machine Learning | The Journal of Physical Chemistry C | Zixin Zhuang Bronwyn L Fox Amanda S Barnard | 2023/10/18 |
Shapley based residual decomposition for instance analysis | Tommy Liu Amanda S Barnard | 2023/7/3 | |
Unsupervised machine learning discovers classes in aluminium alloys | Royal Society Open Science | Ninad Bhat Amanda S Barnard Nick Birbilis | 2023/2/1 |
