28 citations · 28 across the 3 of their papers we have counts for
5 papers
Mesoscopic Modeling of Structure-Transport Relationships in Dense CNT Films Containing Amorphous Carbon
Yvelin Giret, Filippo Federici Canova, Al-Moatasem El-Sayed +6
Carbon nanotube (CNT) films are widely considered as prospective building blocks for advanced electronic and nanostructured materials. In particular, electrical transport in high-d…
Improving atomic force microscopy structure discovery via style-translation
Jie Huang, Niko Oinonen, Fabio Priante +4
Atomic force microscopy (AFM) is a key tool for characterising nanoscale structures, with functionalised tips now offering detailed images of the atomic structure. In parallel, AFM…
Electrostatic Discovery Atomic Force Microscopy
Niko Oinonen, Chen Xu, Benjamin Alldritt +7
While offering unprecedented resolution of atomic and electronic structure, Scanning Probe Microscopy techniques have found greater challenges in providing reliable electrostatic c…
DScribe: Library of Descriptors for Machine Learning in Materials Science
Lauri Himanen, Marc O. J. Jäger, Eiaki V. Morooka +5
DScribe is a software package for machine learning that provides popular feature transformations ("descriptors") for atomistic materials simulations. DScribe accelerates the applic…
Computational Physics on Graphics Processing Units
Ari Harju, Topi Siro, Filippo Federici-Canova +2
The use of graphics processing units for scientific computations is an emerging strategy that can significantly speed up various different algorithms. In this review, we discuss ad…