6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CE2022
ParticleGrid: Enabling Deep Learning using 3D Representation of Materials
Shehtab Zaman, Ethan Ferguson, Cecile Pereira +3
From AlexNet to Inception, autoencoders to diffusion models, the development of novel and powerful deep learning models and learning algorithms has proceeded at breakneck speeds. I…
cs.LG2020
Graph Neural Network for Metal Organic Framework Potential Energy Approximation
Shehtab Zaman, Christopher Owen, Kenneth Chiu +1
Metal-organic frameworks (MOFs) are nanoporous compounds composed of metal ions and organic linkers. MOFs play an important role in industrial applications such as gas separation,…
cond-mat.stat-mech2019★ 6 cited
Real-Space Visualization of Quantum Phase Transition by Network Topology
Shehtab Zaman, Wei-Cheng Lee
We demonstrate that with appropriate quantum correlation function, a real-space network model can be constructed to study the phase transitions in quantum systems. For the three-di…