Complexity to Clarity: Detecting, Identifying and Analysing Complex Materials Systems at the Molecular Level with Machine Learning

A thesis submitted in total fulfilment of the requirements of the degree of Doctor of Philosophy to the Centre for Materials and Surface Science, School of Computing, Engineering and Mathematical Sciences, La Trobe University, Victoria, Australia.

Institutions

La Trobe University (AU)

Publication Details

Journal: La Trobe University
Published: 2025-01-01
DOI: https://doi.org/10.26181/29043281
Primary Topic: Plant Ecology and Soil Science
Type: article
Field-Weighted Citation Impact: 0.00

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article

Complexity to Clarity: Detecting, Identifying and Analysing Complex Materials Systems at the Molecular Level with Machine Learning

Jan 1, 2025

La Trobe University

Plant Ecology and Soil Science

article

Complexity to Clarity: Detecting, Identifying and Analysing Complex Materials Systems at the Molecular Level with Machine Learning

January 1, 2025article en

Abstract

La Trobe University

La Trobe University (AU)

Openalex Percentile: Top 48%

Plant Ecology and Soil Science

DOI Open Access PDF OpenAlex

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Complexity to Clarity: Detecting, Identifying and Analysing Complex Materials Systems at the Molecular Level with Machine Learning · La Trobe University (2025) | TGRS Research Map | TGRS