33 citations · 65 across the 6 of their papers we have counts for
6 papers
Sample-efficient adaptive calibration of quantum networks using Bayesian optimization
Cristian L. Cortes, Pascal Lefebvre, Nikolai Lauk +4
Indistinguishable photons are imperative for advanced quantum communication networks. Indistinguishability is difficult to obtain because of environment-induced photon transformati…
Machine-learned impurity level prediction for semiconductors: the example of Cd-based chalcogenides
Arun Mannodi-Kanakkithodi, Michael Y. Toriyama, Fatih G. Sen +3
The ability to predict the likelihood of impurity incorporation and their electronic energy levels in semiconductors is crucial for controlling its conductivity, and thus the semic…
Comparing optimization strategies for force field parameterization
Fatih G. Sen, Badri Narayanan, Jeffrey Larson +7
Classical molecular dynamics (MD) simulations enable modeling of materials and examination of microscopic details that are not accessible experimentally. The predictive capability…
Unraveling the Planar-Globular Transition in Gold Nanoclusters through Evolutionary Search
Alper Kinaci, Badri Narayanan, Fatih G. Sen +4
Au nanoclusters are of technological relevance for catalysis, photonics, sensors, and of fundamental scientific interest owing to planar to globular structural transformation at an…
Describing the diverse geometries of gold from nanoclusters to bulk-- a first-principles based hybrid bond order potential
Badri Narayanan, Alper Kinaci, Fatih G. Sen +4
Molecular dynamics simulations using empirical force fields (EFFs) are crucial for gaining fundamental insights into atomic structure and long timescale dynamics of Au nanoclusters…
Difficulties with the Scars Model of Quantum Localization
Michael J. Davis
Numerical calculations studying bound eigenstates in chaotic regions of phase space, including those of the stadium billiard, are summarized. These calculations demonstrate that th…