Finite-element modelling of contemporary and palaeo-intraplate stress using ABAQUS™. - S. Dyksterhuis; R. A. Albert; R. Dietmar Müller (Comput. Geosci., 2005)

Ellipsis 3D: A particle-in-cell finite-element hybrid code for modelling mantle convection and lithospheric deformation. - Craig O'Neill; Louis Moresi; Dietmar Müller 004; Rich Albert; Frédéric Dufour (Comput. Geosci., 2006)

A graphical user interface for particle-in-cell finite element analysis of lithospheric deformation and mantle convection in two dimensions. - S. Dyksterhuis; R. Dietmar Müller; Patrice Rey; Louis Moresi (Comput. Geosci., 2007)

A Spatio-Temporal Knowledge-Discovery Platform for Earth-Science Data. - Thomas C. W. Landgrebe; R. Dietmar Müller (DICTA, 2011)

Plate tectonic reconstructions with continuously closing plates. - Michael Gurnis; Mark Turner 004; Sabin Zahirovic; Lydia DiCaprio; Sonja Spasojevic; R. Dietmar Müller; James Boyden; Maria Seton; Vlad Constantin Manea; Dan J. Bower (Comput. Geosci., 2012)

Relationships between palaeogeography and opal occurrence in Australia: A data-mining approach. - Thomas C. W. Landgrebe; Andrew Merdith; Adriana Dutkiewicz; R. Dietmar Müller (Comput. Geosci., 2013)

Data Driven Science: SIGKDD Panel. - Katharina Morik; Hugh F. Durrant-Whyte; Gary C. Hill; Dietmar Müller 004; Tanya Y. Berger-Wolf (KDD, 2015)

Multi-core parallel tempering Bayeslands for basin and landscape evolution. - Rohitash Chandra; R. Dietmar Müller; Ratneel Deo; Nathaniel Butterworth; Tristan Salles; Sally Cripps (CoRR, 2018)

Computer vision-based framework for extracting geological lineaments from optical remote sensing data. - Ehsan Farahbakhsh; Rohitash Chandra; Hugo K. H. Olierook; Richard Scalzo; Chris Clark; Steven M. Reddy; R. Dietmar Müller (CoRR, 2018)

Surrogate-assisted Bayesian inversion for landscape and basin evolution models. - Rohitash Chandra; Danial Azam; Arpit Kapoor; R. Dietmar Müller (CoRR, 2018)

Global tectonic reconstructions with continuously deforming and evolving rigid plates. - Michael Gurnis; Ting Yang 005; John Cannon; Mark Turner 004; Simon Williams; Nicolas Flament; R. Dietmar Müller (Comput. Geosci., 2018)

SPGM: A Scalable PaleoGeomorphology Model. - Rakib Hassan; Michael Gurnis; Simon Williams; R. Dietmar Müller (SoftwareX, 2018)

Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in Badlands. - Rohitash Chandra; Danial Azam; R. Dietmar Müller; Tristan Salles; Sally Cripps (Comput. Geosci., 2019)

Multi-Objective Bayesian Optimisation and Joint Inversion for Active Sensor Fusion. - Sebastian Haan; Fabio Ramos 001; R. Dietmar Müller (CoRR, 2020)

Integration of Selective Dimensionality Reduction Techniques for Mineral Exploration Using ASTER Satellite Data. - Hodjat Shirmard; Ehsan Farahbakhsh; Amin Beiranvand Pour; Aidy M. Muslim; R. Dietmar Müller; Rohitash Chandra (Remote. Sens., 2020)

A review of machine learning in processing remote sensing data for mineral exploration. - Hodjat Shirmard; Ehsan Farahbakhsh; R. Dietmar Müller; Rohitash Chandra (CoRR, 2021)

Precipitation reconstruction from climate-sensitive lithologies using Bayesian machine learning. - Rohitash Chandra; Sally Cripps; Nathaniel Butterworth; R. Dietmar Müller (Environ. Model. Softw., 2021)

A Comparative Study of Convolutional Neural Networks and Conventional Machine Learning Models for Lithological Mapping Using Remote Sensing Data. - Hodjat Shirmard; Ehsan Farahbakhsh; Elnaz Heidari; Amin Beiranvand Pour; Biswajeet Pradhan; R. Dietmar Müller; Rohitash Chandra (Remote. Sens., 2022)

Convolutional neural networks for mineral prospecting through alteration mapping with remote sensing data. - Ehsan Farahbakhsh; Dakshi Goel; Dhiraj Pimparkar; R. Dietmar Müller; Rohitash Chandra (CoRR, 2025)