3 papers
cs.LG2024
A DNN Biophysics Model with Topological and Electrostatic Features
Elyssa Sliheet, Md Abu Talha, Weihua Geng
In this project, we present a deep neural network (DNN)-based biophysics model that uses multi-scale and uniform topological and electrostatic features to predict protein propertie…
q-bio.BM2023
Optimized Parallelization of Boundary Integral Poisson-Boltzmann Solvers
Xin Yang, Elyssa Sliheet, Reece Iriye +2
The Poisson-Boltzmann (PB) model governs the electrostatics of solvated biomolecules, i.e., potential, field, energy, and force. These quantities can provide useful information abo…
math.FA2018
Norms, Kernels and Eigenvalues of some Infinite Graphs
Aahan Agrawal, Astrid Berge, Seth Colbert-Pollack +2
In these paper we study the adjacency matrix of some infinite graphs, which we call the shift operator on the space of the graph. In particular, we establish norm estimates,…