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Amanda Barnard AM

artificial intelligence Applied machine learning Data science eResearch High performance computing including unconventional computing Computational methods for the physical sciences including theoretical development

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Professor Amanda Barnard is a highly awarded computational scientist leading research at the interface of computational modelling, high performance supercomputing, and applied AI. She holds a BSc (Hons) in applied physics, a PhD in theoretical condensed matter physics, and a DSc from RMIT University, and has held senior positions at Argonne National Laboratory, Oxford, and CSIRO before joining ANU. Her work spans over 20 years in high performance computing, data science, and materials modelling, and she is active in international science diplomacy and research governance.

FAIP FRSC FACS CP Senior Professor Associate Director Strategic Initiatives Computational Science Lead

Research interests: Applied machine learning and artificial intelligence, Data science and eResearch, High performance computing, including unconventional computing, Computational methods for the physical sciences, including theoretical development and simulation, Applications in materials, nanotechnology, biotechnology and health


Scholar profile summary
Scholar-generated biography

Amanda S. Barnard is a Senior Professor of Computational Science at the Australian National University, specializing in computational nanoscience, materials data science, and materials informatics. Her research focuses on the prediction and modeling of nanoparticle phase stability, morphology evolution, and surface chemistry effects. She explores the synthesis, properties, and applications of nanomaterials such as nanodiamonds, TiO2, and gold nanoparticles. Her work includes the development of computational models for nanocrystal growth and the investigation of defects in nanomaterials for applications in sensing and optoelectronics. Barnard's research bridges computational science with experimental studies to advance nanomaterial design and functionality.

Source: google_scholar · 97 words
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