activity
20162023
most citedGeometric Deep Learning for Molecular Crystal Structure Prediction

48 citations · 48 across the 4 of their papers we have counts for

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Showing cond-mat.mes-hallShow all

5 papers · 1 filter

cond-mat.mes-hall2023

Simulations of Disordered Matter in 3D with the Morphological Autoregressive Protocol (MAP) and Convolutional Neural Networks

Ata Madanchi, Michael Kilgour, Frederik Zysk +2

Disordered molecular systems such as amorphous catalysts, organic thin films, electrolyte solutions, and water are at the cutting edge of computational exploration today. Tradition…

cond-mat.mes-hall2021

Electronic Conduction Through Monolayer Amorphous Carbon Nano-Junctions

Nicolas Gastellu, Michael Kilgour, Lena Simine

In molecular electronic conduction, exotic lattice morphologies often give rise to exotic behaviors. Among 2D systems, graphene is a notable example. Recently, a stable amorphous v…

cond-mat.mes-hall2018

Coherence and decoherence in quantum absorption refrigerators

Michael Kilgour, Dvira Segal

Absorption refrigerators transfer thermal energy from a cold reservoir to a hot reservoir using input energy from a third, so-called work reservoir. We examine the operation of qua…

cond-mat.mes-hall2016

Thermopower of molecular junctions: Tunneling to hopping crossover in DNA

Roman Korol, Michael Kilgour, Dvira Segal

We study the electrical conductance and the thermopower of single-molecule junctions, and reveal signatures of different transport mechanisms: off-resonant tunneling, on-re…

cond-mat.mes-hall2016

Intermediate coherent-incoherent charge transport: DNA as a case study

Hyehwang Kim, Michael Kilgour, Dvira Segal

We study an intermediate quantum coherent-incoherent charge transport mechanism in metal-molecule-metal junctions using Büttiker's probe technique. This tool allows us to include i…