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20212023
most citedTransfer Learning Facilitates the Prediction of Polymer-Surface Adhesion Strength

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

physics.optics2023

Giant Generation of Polarization-Entangled Photons in Metal Organic Framework Waveguides

Simón Paiva, Ruben A. Fritz, Sanoj Raj +2

Parametric nonlinear optical processes are instrumental in optical quantum technology for generating entangled light. However, the range of materials conventionally used for produc…

quant-ph2023

First-Principles Screening of Metal-Organic Frameworks for Entangled Photon Pair Generation

Sanoj Raj, Simón Paiva, Rubén Fritz +2

The transmission of strong laser light in nonlinear optical materials can generate output photons sources that carry quantum entanglement in multiple degrees of freedom, making thi…

cond-mat.soft2023★ 1 cited

Transfer Learning Facilitates the Prediction of Polymer-Surface Adhesion Strength

Jiale Shi, Fahed Albreiki, Yamil J. Colón +2

Machine learning (ML) accelerates the exploration of material properties and their links to the structure of the underlying molecules. In previous work [J. Shi, M. J. Quevillon, P.…

physics.chem-ph2022★ 1 cited

Model reduction for molecular diffusion in nanoporous media

Gastón González, Rubén A. Fritz, Yamil J. Colón +1

Porous materials are widely used for applications in gas storage and separation. The diffusive properties of a variety of gases in porous media can be modeled using molecular dynam…

cond-mat.mtrl-sci2021

Sequential Design of Adsorption Simulations in Metal-Organic Frameworks

Krishnendu Mukherjee, Alexander W. Dowling, Yamil Colón

The large number of possible structures of metal-organic frameworks (MOFs) and their limitless potential applications has motivated molecular modelers and researchers to develop me…