Michael Kilgour

6PUBLICATIONS
9CO-AUTHORS
Formal methods for softwareTransport properties and non-equilibrium processesDeep learningBiomolecular modelling and designInorganic materials (incl. nanomaterials)
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Publications (6)

|Mar 24, 2026
MXtalTools: A Toolkit for Machine Learning on Molecular Crystals.

Michael Kilgour, Mark E Tuckerman, Jutta Rogal

|Jan 08, 2024
Simulations of disordered matter in 3D with the morphological autoregressive protocol (MAP) and convolutional neural networks.

Ata Madanchi, Michael Kilgour, Frederik Zysk

|Apr 13, 2023
Geometric Deep Learning for Molecular Crystal Structure Prediction.

Michael Kilgour, Jutta Rogal, Mark Tuckerman

|Dec 27, 2022
Diversifying Design of Nucleic Acid Aptamers Using Unsupervised Machine Learning.

Siba Moussa, Michael Kilgour, Clara Jans

|Jan 13, 2022
Electronic Conduction through Monolayer Amorphous Carbon Nanojunctions.

Nicolas Gastellu, Michael Kilgour, Lena Simine

|Aug 26, 2021
E2EDNA: Simulation Protocol for DNA Aptamers with Ligands.

Michael Kilgour, Tao Liu, Brandon D Walker

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