Michael Kilgour

Orcid: 0000-0001-6557-3297

According to our database1, Michael Kilgour authored at least 10 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
MXtalTools: A Toolkit for Machine Learning on Molecular Crystals.
J. Chem. Inf. Model., 2026

2025
Multi-type point cloud autoencoder: a complete equivariant embedding for molecule conformation and pose.
Mach. Learn. Sci. Technol., 2025

2023
Geometric Deep Learning for Molecular Crystal Structure Prediction.
CoRR, 2023

2022
E2EDNA 2.0: Python Pipeline for Simulating DNA Aptamers with Ligands.
Dataset, May, 2022

E2EDNA 2.0: Python Pipeline for Simulating DNA Aptamers with Ligands.
J. Open Source Softw., 2022

Inside the black box: A physical basis for the effectiveness of deep generative models of amorphous materials.
J. Comput. Phys., 2022

Diversifying Design of Nucleic Acid Aptamers Using Unsupervised Machine Learning.
CoRR, 2022

Biological Sequence Design with GFlowNets.
Proceedings of the International Conference on Machine Learning, 2022

2021
E2EDNA: Simulation Protocol for DNA Aptamers with Ligands.
J. Chem. Inf. Model., 2021

2018
ProbeZT: Simulation of transport coefficients of molecular electronic junctions under environmental effects using Büttiker's probes.
Comput. Phys. Commun., 2018


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