most citedDeep learning for molecular design - a review of the state of the art

741 citations · 763 across the 4 of their papers we have counts for

collaborators

6 papers

eess.IV20204 cited

Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model

Yingying Zhu, Youbao Tang, Yuxing Tang +4

Current deep learning based segmentation models often generalize poorly between domains due to insufficient training data. In real-world clinical applications, cross-domain image a…

cs.CV20202 cited

Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection

Yingying Zhu, Daniel C. Elton, Sungwon Lee +2

Calcified plaque in the aorta and pelvic arteries is associated with coronary artery calcification and is a strong predictor of heart attack. Current calcified plaque detection mod…

cond-mat.soft2019

Exclusion zone phenomena in water -- a critical review of experimental findings and theories

Daniel C. Elton, Peter D. Spencer, James D. Riches +1

The existence of the exclusion zone (EZ), a layer of water in which plastic microspheres are repelled from hydrophilic surfaces, has now been independently demonstrated by several…

cond-mat.mtrl-sci2019

Phonon Lifetimes and Thermal Conductivity of the Molecular Crystal -RDX

Gaurav Kumar, Francis G. VanGessel, Daniel C. Elton +1

The heat transfer properties of the organic molecular crystal -RDX were studied using three phonon-based thermal conductivity models. It was found that the widely used Peierls-B…

cs.LG2019741 cited

Deep learning for molecular design - a review of the state of the art

Daniel C. Elton, Zois Boukouvalas, Mark D. Fuge +1

In the space of only a few years, deep generative modeling has revolutionized how we think of artificial creativity, yielding autonomous systems which produce original images, musi…

cs.CL201916 cited

Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora

Daniel C. Elton, Dhruv Turakhia, Nischal Reddy +4

The number of scientific journal articles and reports being published about energetic materials every year is growing exponentially, and therefore extracting relevant information a…