Superconductivity of novel tin hydrides (SnnHm) under pressure von Mahdi Davari Esfahani, M., Wang, Zhenhai, Oganov, Artem R., Dong, Huafeng, Zhu, Qiang, Wang, Shengnan, Rakitin, Maksim S., Zhou, Xiang-Feng

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Sirepo: an open‐source cloud‐based software interface for X‐ray source and optics simulations von Rakitin, Maksim S., Moeller, Paul, Nagler, Robert, Nash, Boaz, Bruhwiler, David L., Smalyuk, Dmitry, Zhernenkov, Mikhail, Chubar, Oleg

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A novel phase of beryllium fluoride at high pressure von Rakitin, Maksim S, Oganov, Artem R, Niu, Haiyang, Esfahani, M Mahdi Davari, Zhou, Xiang-Feng, Qian, Guang-Rui, Solozhenko, Vladimir L

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Novel magnesium borides and their superconductivity von Davari Esfahani, M Mahdi, Zhu, Qiang, Dong, Huafeng, Oganov, Artem R, Wang, Shengnan, Rakitin, Maksim S, Zhou, Xiang-Feng

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Outlook for artificial intelligence and machine learning at the NSLS-II von Campbell, Stuart I, Allan, Daniel B, Barbour, Andi M, Olds, Daniel, Rakitin, Maksim S, Smith, Reid, Wilkins, Stuart B

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Novel magnesium borides and their superconductivityElectronic supplementary information (ESI) available. See DOI: 10.1039/c7cp00840f von Davari Esfahani, M. Mahdi, Zhu, Qiang, Dong, Huafeng, Oganov, Artem R, Wang, Shengnan, Rakitin, Maksim S, Zhou, Xiang-Feng

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Outlook for artificial intelligence and machine learning at the NSLS-II von Campbell, Stuart I., Allan, Daniel B., Barbour, Andi M., Olds, Daniel, Rakitin, Maksim S., Smith, Reid, Wilkins, Stuart B.

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Superconductivity of novel tin hydrides (Sn(n)H(m)) under pressure von Mahdi Davari Esfahani, M, Wang, Zhenhai, Oganov, Artem R, Dong, Huafeng, Zhu, Qiang, Wang, Shengnan, Rakitin, Maksim S, Zhou, Xiang-Feng

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Superconductivity of novel tin hydrides (Sn$_n$H$_m$) under pressure von Esfahani, M. Mahdi Davari, Wang, Zhenhai, Oganov, Artem R, Dong, Huafeng, Zhu, Qiang, Wang, Shengnan, Rakitin, Maksim S, Zhou, Xiang-Feng

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Novel phase of beryllium fluoride at high pressure von Rakitin, Maksim S, Oganov, Artem R, Niu, Haiyang, M Mahdi Davari Esfahani, Xiang-Feng, Zhou, Guang-Rui Qian, Solozhenko, Vladimir L

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Superconductivity of novel tin hydrides (Sn\(_n\)H\(_m\)) under pressure von M Mahdi Davari Esfahani, Wang, Zhenhai, Oganov, Artem R, Dong, Huafeng, Zhu, Qiang, Wang, Shengnan, Rakitin, Maksim S, Xiang-Feng, Zhou

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Noise reduction in X-ray photon correlation spectroscopy with convolutional neural networks encoder–decoder models von Konstantinova, Tatiana, Wiegart, Lutz, Rakitin, Maksim, DeGennaro, Anthony M., Barbour, Andi M.

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The Inner Shell Spectroscopy beamline at NSLS‐II: a facility for in situ and operando X‐ray absorption spectroscopy for materials research von Leshchev, Denis, Rakitin, Maksim, Luvizotto, Bruno, Kadyrov, Ruslan, Ravel, Bruce, Attenkofer, Klaus, Stavitski, Eli

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Novel D-A-π-A1 Type Organic Sensitizers from 4,7-Dibromobenzo[d][1,2,3]thiadiazole and Indoline Donors for Dye-Sensitized Solar Cells von Gudim, Nikita S., Knyazeva, Ekaterina A., Mikhalchenko, Ludmila V., Mikhailov, Maksim S., Zhang, Lu, Robertson, Neil, Rakitin, Oleg A.

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Fused 1,2,3‐Thiaselenazoles Synthesized from 1,2,3‐Dithiazoles through Selective Chalcogen Exchange von Konstantinova, Lidia S., Baranovsky, Ilia V., Pritchina, Elena A., Mikhailov, Maksim S., Bagryanskaya, Irina Yu, Semenov, Nikolay A., Irtegova, Irina G., Salnikov, Georgy E., Lyssenko, Konstantin A., Gritsan, Nina P., Zibarev, Andrey V., Rakitin, Oleg A.

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Simulation of X-ray Hartmann wavefront sensing with the Synchrotron Radiation Workshop von Huang, Lei, Wang, Tianyi, Chubar, Oleg, Dovillaire, Guillaume, He, An, Rakitin, Maksim, Idir, Mourad

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Simulation of X-ray Hartmann wavefront sensing with the Synchrotron Radiation Workshop von Huang, Lei, Wang, Tianyi, Chubar, Oleg, Dovillaire, Guillaume, He, An, Rakitin, Maksim, Idir, Mourad

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Tools for supporting solution scattering during the COVID‐19 pandemic von Yang, Lin, Lazo, Edwin, Byrnes, James, Chodankar, Shirish, Antonelli, Stephen, Rakitin, Maksim

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Next generation experimental data access at NSLS-II von Rakitin, Maksim, Campbell, Stuart, Allan, Daniel, Caswell, Thomas, Gavrilov, Dmitri, Hanwell, Marcus, Wilkins, Stuart

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Machine Learning for analysis of speckle dynamics: quantification and outlier detection von Konstantinova, Tatiana, Wiegart, Lutz, Rakitin, Maksim, DeGennaro, Anthony M., Barbour, Andi M.

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