atom in a clathrate-like cage

A final draft of my Ph.D. thesis can be downloaded here: (11 Mb PDF):

Understanding the Dielectric Properties of Water

For publications, see also Google Scholar

Peer reviewed journal articles

P. J. Pickhardt, D. C. Elton, P. M. Graffy, S. J. Lee, J. Liu, V. Sandfort, R. M. Summers. “Fully-automated CT Imaging Biomarkers of Bone, Muscle, and Fat: Correcting for the Effect of Intravenous Contrast” (in prep)

R. M. Summers, D. C. Elton, Y. Zhu, J. Liu, M. Bagheri, N. N. Mehta, P. A. Pinto, W. M. Linehan, A. A. Perez, P. M. Graffy, S. O’Connor, P. J. Pickhardt. “Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment with Deep Learning”. (in prep)

D. C. Elton, P. D. Spencer, J. D. Riches, E. D. Williams. “Exclusion zone phenomena in water - a critical review of experimental findings and theories” (under review) [arXiv] (2020)

D. C. Elton, Z. Boukouvalas, M. D. Fuge, and P. W. Chung, “Deep learning for molecular design - a review of the state of the art”, Molecular Systems Design & Engineering, 4 (2019) [full pdf]

G. Kumar, F. G. VanGessel, D. C. Elton, and P. W. Chung. “Phonon Lifetimes and Thermal Conductivity of the Molecular Crystal α-RDX”, MRS Advances, 4, 2191 (2019) [arXiv]

D. C. Elton, Z. Boukouvalas, M. S. Butrico, M. D. Fuge, and P. W. Chung, “Applying machine learning techniques to predict the properties of energetic materials”, Scientific Reports, 8, 9059 (2018).

D. C. Elton, M. Fritz, and M.-V Fernández-Serra. “Using a monomer potential energy surface to perform approximate path integral molecular dynamics simulation of ab-initio water at near-zero added cost”, Phys. Chem. Chem. Phys., 21, 409 (2019) [arXiv]

D.C. EltonThe microscopic origin of the Debye relaxation in liquid water and fitting the high frequency excess response”, Phys. Chem. Chem. Phys., 19, 18739 (2017) [arXiv]

D.C. Elton and M.-V Fernández-Serra. “The hydrogen bond network of water supports propagating optical phonon-like modes”, Nat. Comm. 7, 10913 (2016)

D.C. Elton and M.-V Fernández-Serra. “Polar nanoregions in water – a study of the dielectric properties of TIP4P/2005,TIP4P/2005f and TTM3F”, J. Chem. Phys., 140, 124504 (2014) [arXiv]

J. J. Podesta, M. A. Forman, C. W. Smith, D. C. Elton, and Y. Malecot, “Accurate Estimation of Third-Order Moments from Turbulence Measurements“, Nonlin. Proc. Geophys., 16, 99 (2009) [arXiv]

Peer reviewed conference proceedings

S. Y. Shin, S. Lee, D. C. Elton, J. Gulley, R. M. Summers. “Deep Small Bowel Segmentation with Cylindrical Topological Constraints” (under review)

Y. Zhu, Y. Tang, Y. Tang, D. C. Elton, S. Lee, P. J. Pickhardt, R. M. Summers. “Cross-Domain Image Translation by Shared Latent Gaussian Mixture Model”. (under review)

D. C. Elton, Y. Zhu, Y. Tang, R. M. Summers. “Improving the Transferability of 3D Segmentation Models Using Cycle Consistent Adversarial Networks” (in prep)

D. C. Elton. “Self-explaining AI as an alternative to interpretable AI”. To appear in: Proceedings of the 13th Annual Conference on Artificial General Intelligence (AGI-2020). [arXiv]

Z. Boukouvalas, M. Puerto, D. C. Elton, P. W. Chung, M. D. Fuge. “Independent Vector Analysis for Molecular Data Fusion: Application to Property Prediction and Molecular Knowledge Discovery”. to appear in Proceedings of the 28th European Signal Processing Conference (EUSIPCO 2020)

Y. Zhu, D. C. Elton, S. Lee, P. J. Pickhardt, R. M. Summers. “Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection”. To appear in: Proceedings of the 2020 Medical Imaging with Deep Learning (MIDL) Conference. [arXiv]

D. C. Elton, V. Sandfort, P. J. Pickhardt, and R. M. Summers. “Accurately identifying vertebral levels in large datasets”. SPIE: Medical Imaging 2020: Computer-Aided Diagnosis 113140O, 2020. [arXiv]

D. C. Elton, D. Turakhia, N. Reddy, Z. Boukouvalas, R. M. Doherty, M. D. Fuge, and P. W. Chung. “Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora”. Proceedings of the 22nd International Seminar on New Trends in Research of Energetic Materials, 2019. [arXiv] (won the 3rd best presentation award at the 2019 NTREM conference)

Z. Boukouvalas, D. C. Elton, M. D. Fuge, and P. W. Chung. “Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning”. Proceedings of the 2018 Neural Information Processing Systems (NeurIPS) workshop on Machine Learning for Molecules and Materials. [arXiv]

B. C. Barnes, D. C. Elton, Z. Boukouvalas, D. E. Taylor, W. D. Mattson, M. D. Fuge, and P.W. Chung, “Machine Learning of Energetic Material Properties”, Proceedings of the 16th International Detonation Symposium, Cambridge MD, USA, July 2018, [arXiv]

F. G. VanGessel, G. Kumar, D. C. Elton, and P. W. Chung, “A Phonon Boltzmann Study of Microscale Thermal Transport in α-RDX Cook-Off”, Proceedings of the 16th International Detonation Symposium, Cambridge MD, USA, July 2018. [arXiv]

M. A. Forman, C. W. Smith, B. J. Vasquez, B. T. MacBride, J. E. Stawarz, J. J. Podesta, D. C. Elton, U. Y. Malecot, and Y. Gagne. “Using Third‐Order Moments of Fluctuations in V and B to Determine Turbulent Heating Rates in the Solar Wind”, AIP Conference Proceedings 1216, 12th International Solar Wind Conference, 176 (2010)

Science notes

feedback on these is always appreciated.