1 citations · 1 across the 3 of their papers we have counts for
3 papers
quant-ph2021
Emulating ultrafast dissipative quantum dynamics with deep neural networks
Nikolai D. Klimkin
The simulation of driven dissipative quantum dynamics is often prohibitively computation-intensive, especially when it is calculated for various shapes of the driving field. We eng…
physics.comp-ph2021
Deep neural networks for high harmonic spectroscopy in solids
Nikolai D. Klimkin, Álvaro Jiménez-Galán, Rui E. F. Silva +1
Neural networks are a prominent tool for identifying and modeling complex patterns, which are otherwise hard to detect and analyze. While machine learning and neural networks have…
physics.optics2018★ 1 cited
Multi-Band Petahertz Currents Resolved via High Harmonic Generation Spectroscopy
Ayelet Julie Uzan, Gal Orenstein, Álvaro Jiménez-Galán +13
Strong field driven electric currents in condensed matter systems open new frontiers in petahertz electronics. In this regime new challenges arise as the role of the band structure…