1 citations · 2 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2024★ 1 cited
Ab Initio Structure Solutions from Nanocrystalline Powder Diffraction Data
Gabe Guo, Tristan Saidi, Maxwell Terban +3
A major challenge in materials science is the determination of the structure of nanometer sized objects. Here we present a novel approach that uses a generative machine learning mo…
cond-mat.soft2024★ 1 cited
Thermodynamic and Transport Properties of Binary Mixtures of Polyethylene and Higher n-Alkanes from Physics-Informed and Machine-Learned Models
Maria Ley-Flores, Riccardo Alessandri, Sean Najmi +6
The thermodynamics and transport properties of polymeric materials are essential for the design of reactors and for the development of polymer deconstruction processes. Existing pr…