43 citations · 96 across the 5 of their papers we have counts for
5 papers
Machine Learning Enhances Algorithms for Quantifying Non-Equilibrium Dynamics in Correlation Spectroscopy Experiments to Reach Frame-Rate-Limited Time Resolution
Tatiana Konstantinova, Lutz Wiegart, Maksim Rakitin +2
Analysis of X-ray Photon Correlation Spectroscopy (XPCS) data for non-equilibrium dynamics often requires manual binning of age regions of an intensity-intensity correlation functi…
Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models
Tatiana Konstantinova, Lutz Wiegart, Maksim Rakitin +2
Like other experimental techniques, X-ray Photon Correlation Spectroscopy is subject to various kinds of noise. Random and correlated fluctuations and heterogeneities can be presen…
Novel magnesium borides and their superconductivity
M. M. Davari Esfahani, Q. Zhu, H. Dong +4
With the motivation of searching for new superconductors in the Mg-B system, we performed ab initio evolutionary searches for all the stable compounds in this binary system in the…
Superconductivity of novel tin hydrides (SnH) under pressure
M. Mahdi Davari Esfahani, Zhenhai Wang, Artem R. Oganov +5
With the motivation of discovering high-temperature superconductors, evolutionary algorithm is employed to search for all stable compounds in the Sn-H system. In addition to the tr…
Novel phase of beryllium fluoride at high pressure
Maksim S. Rakitin, Artem R. Oganov, Haiyang Niu +4
A previously unknown thermodynamically stable high-pressure phase of BeF has been predicted using the evolutionary algorithm USPEX. This phase occurs in the pressure range 18…