67 citations · 69 across the 3 of their papers we have counts for
6 papers
A Study of Policy Gradient on a Class of Exactly Solvable Models
Gavin McCracken, Colin Daniels, Rosie Zhao +3
Policy gradient methods are extensively used in reinforcement learning as a way to optimize expected return. In this paper, we explore the evolution of the policy parameters, for a…
Machine-learning models for Raman spectra analysis of twisted bilayer graphene
Natalya Sheremetyeva, Michael Lamparski, Colin Daniels +2
The vibrational properties of twisted bilayer graphene (tBLG) show complex features, due to the intricate energy landscape of its low-symmetry configurations. A machine learning-ba…
A Universal Length-Dependent Vibrational Mode in Graphene Nanoribbons
Jan Overbeck, Gabriela Borin Barin, Colin Daniels +13
Graphene nanoribbons (GNRs) have attracted considerable interest as their atomically tunable structure makes them promising candidates for future electronic devices. However, obtai…
In-Plane Breathing and Shear Modes in Low-Dimensional Nanostructures
Dan Liu, Colin Daniels, Vincent Meunier +2
We use continuum elasticity theory to revise scaling laws for radial breathing-like and shear-like vibration modes in quasi-2D nanostructures including finite-width nanoribbons and…
Optimized substrates and measurement approaches for Raman spectroscopy of graphene nanoribbons
Jan Overbeck, Gabriela Borin Barin, Colin Daniels +13
The on-surface synthesis of graphene nanoribbons (GNRs) allows for the fabrication of atomically precise narrow GNRs. Despite their exceptional properties which can be tuned by rib…
Engineering of robust topological quantum phases in graphene nanoribbons
Oliver Gröning, Shiyong Wang, Xuelin Yao +10
Here we present a flexible strategy to realize robust nanomaterials exhibiting valence electronic structures whose fundamental physics is described by the SSH-Hamiltonian. These so…