22 citations · 46 across the 6 of their papers we have counts for
6 papers
Identifying Orientation-specific Lipid-protein Fingerprints using Deep Learning
Fikret Aydin, Konstantia Georgouli, Gautham Dharuman +5
Improved understanding of the relation between the behavior of RAS and RAF proteins and the local lipid environment in the cell membrane is critical for getting insights into the m…
Emerging Patterns in the Continuum Representation of Protein-Lipid Fingerprints
Konstantia Georgouli, Helgi I Ingólfsson, Fikret Aydin +4
Capturing intricate biological phenomena often requires multiscale modeling where coarse and inexpensive models are developed using limited components of expensive and high-fidelit…
Data-driven model for divertor plasma detachment prediction
Ben Zhu, Menglong Zhao, Harsh Bhatia +5
We present a fast and accurate data-driven surrogate model for divertor plasma detachment prediction leveraging the latent feature space concept in machine learning research. Our a…
AMM: Adaptive Multilinear Meshes
Harsh Bhatia, Duong Hoang, Nate Morrical +3
Adaptive representations are increasingly indispensable for reducing the in-memory and on-disk footprints of large-scale data. Usual solutions are designed broadly along two themes…
Scalable Comparative Visualization of Ensembles of Call Graphs
Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele +3
Optimizing the performance of large-scale parallel codes is critical for efficient utilization of computing resources. Code developers often explore various execution parameters, s…
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications
Shusen Liu, Di Wang, Dan Maljovec +13
With the rapid adoption of machine learning techniques for large-scale applications in science and engineering comes the convergence of two grand challenges in visualization. First…