Realizing the data-driven, computational discovery of metal-organic framework catalysts
Sign Up to like & getrecommendations! Published in 2022 at "Current Opinion in Chemical Engineering"
DOI: 10.1016/j.coche.2021.100760
Abstract: Metal–organic frameworks (MOFs) have been widely investigated for challenging catalytic transformations due to their well-defined structures and high degree of synthetic tunability. These features, at least in principle, make MOFs ideally suited for a computational… read more here.
Keywords: metal organic; data driven; discovery; driven computational ... See more keywords
Data-driven computational modeling predicts “superhubs” play key role in epileptic dynamics
Sign Up to like & getrecommendations! Published in 2021 at "Neuron"
DOI: 10.1016/j.neuron.2021.07.024
Abstract: How individual neurons influence epileptic networks remains an open question. In this issue of Neuron, Hadjiabadi et al. (2021) use data-driven, computational models to predict the presence of "superhubs": highly connected neurons that drive network activity… read more here.
Keywords: computational modeling; predicts superhubs; data driven; modeling predicts ... See more keywords
Data-driven computational method for determining accurate analytical field solutions on arbitrary-geometry spectrometers.
Sign Up to like & getrecommendations! Published in 2019 at "Ultramicroscopy"
DOI: 10.1016/j.ultramic.2019.04.003
Abstract: Not all workable spectrometer systems can be represented by an exact analytical field; furthermore, while traditional design methods typically involve approximating known analytical fields with appropriate electrode/magnet configurations, modern simulation-based approaches do away with analytical… read more here.
Keywords: field; method; geometry; analytical field ... See more keywords
L4L: Experience-Driven Computational Resource Control in Federated Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2021.3068219
Abstract: As the large-scale deployment of machine learning applications, there is much research attention on exploiting a vast amount of data stored on mobile clients. To preserve data privacy, federated learning has been proposed to enable… read more here.
Keywords: federated learning; resource; experience driven; computational resource ... See more keywords