# Research

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

S. Lee, **D. C. Elton**, J. L. Gulley, P. J. Pickhardt, R. M. Summers. “Association of atherosclerotic plaque with prostate cancer: A case-control study” (in prep)

P. J. Pickhardt, G. Blake, P. M. Graffy, V. Sandfort, **D. C. Elton**, A. A. Perez, R. M. Summers. “Automated Deep Learning Liver Fat Quantification on Contrast-enhanced CT: Direct correlation with the unenhanced reference standard in over 1200 healthy adults”. (under review)

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” (under review)

R. M. Summers, **D. C. Elton**, S. Lee, Y. Zhu, J. Liu, M. Bagheri, V. Sanfort, P. C. Grayson, 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” *International Journal of Molecular Sciences*, **21** (14), 5041 (2020) [arXiv]

**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**, 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. 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** “The 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

Y. Peng, S. Lee, **D. C. Elton**, T. Shen, Y. Tang, Q. Chen, S. Wang, Y. Zhu, R. M. Summers, Z. Lu. “Automatic Recognition of Lymph Nodes from Clinical Text”. (in prep)

S. Y. Shin, S. Lee, **D. C. Elton**, J. Gulley, R. M. Summers. “Deep Small Bowel Segmentation with Cylindrical Topological Constraints”. To appear in *Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020*. [arxiv]

Y. Zhu, Y. Tang, Y. Tang, **D. C. Elton**, S. Lee, P. J. Pickhardt, R. M. Summers. “Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model”. To appear in *Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020* [arXiv]

**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”. *Proceedings of the 13th Annual Conference on Artificial General Intelligence (AGI-2020)*, pg 95. [arXiv] (Won the 2020 Kurzweil Prize for Best AGI Idea)

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.

- Notes on GAN objective functions (2018)
- Relation of crystal shape & structure to LO-TO splitting (2015)
- Elementary theory of solvation (2015)
- Energy Barriers and Rates – Transition State Theory for Physicists (2013)
- Stretched Exponential Relaxation (2013)
- Foundations of Quantum Mechanics & Quantum Computing (2012)
- Hydrogen bond network analysis for TIP4P water (2012)
- Maxwell’s equations in different conventions (2011)
- Some errata for
*Geometry, Topology, & Physics*by M. Nakahara (2011) - Equations for the Physics GRE (2010)