58 citations · 130 across the 9 of their papers we have counts for
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cond-mat.mtrl-sci2021
Understanding Anharmonic Effects on Hydrogen Desorption Characteristics of MgH Nanoclusters by ab initio trained Deep Neural Network
Andrea Pedrielli, Paolo E. Trevisanutto, Lorenzo Monacelli +3
Magnesium hydride (MgH) has been widely studied for effective hydrogen storage. However, its bulk desorption temperature (553 K) is deemed too high for practical applications.…
cond-mat.mtrl-sci2021★ 18 cited
Electronic excitation spectra of cerium oxides: from ab initio dielectric response functions to Monte Carlo charge transport simulations
Andrea Pedrielli, Pablo de Vera, Paolo E. Trevisanutto +5
Nanomaterials made of the cerium oxides CeO and CeO have a broad range of applications, from catalysts in automotive, industrial or energy operations to promising mater…