Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Frederick Cropp"'
Autor:
Frederick Cropp, Jinhao Ruan, James Santucci, Daniel MacLean, Alex H. Lumpkin, Christopher C. Hall, Jonathan P. Edelen, Alex Murokh, Daniel Broemmelsiek, Pietro Musumeci
Publikováno v:
Instruments, Vol 7, Iss 4, p 42 (2023)
The FAST beamline is the injector for the planned Gamma-Ray Electron ENhanced Source (GREENS) program, which aims to achieve the demonstration and first application of a high-efficiency, high-average-power free-electron laser at 515 nm. FAST-GREENS r
Externí odkaz:
https://doaj.org/article/2332d3383f244f68beae186298b5400e
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Machine learning (ML) tools are able to learn relationships between the inputs and outputs of large complex systems directly from data. However, for time-varying systems, the predictive capabilities of ML tools degrade if the systems are no
Externí odkaz:
https://doaj.org/article/1b5bd259315f456690de4a256e722122
Autor:
Khalid M. Siddiqui, Daniel B. Durham, Frederick Cropp, Colin Ophus, Sangeeta Rajpurohit, Yanglin Zhu, Johan D. Carlström, Camille Stavrakas, Zhiqiang Mao, Archana Raja, Pietro Musumeci, Liang Z. Tan, Andrew M. Minor, Daniele Filippetto, Robert A. Kaindl
Publikováno v:
Communications Physics, Vol 4, Iss 1, Pp 1-7 (2021)
Advanced time-resolved structural probes are enabling new views of rapid interactions and optical switching between symmetry-broken phases in quantum materials. Here, using relativistic ultrafast electron diffraction the authors investigate the dynam
Externí odkaz:
https://doaj.org/article/bd8aa7c833ba42709461260a89ce82b5
Publikováno v:
Physical Review E. 107
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b23b4462a05e93c3c25381eae06c792b
https://doi.org/10.1103/physreve.107.045302
https://doi.org/10.1103/physreve.107.045302
Publikováno v:
Scientific reports, vol 11, iss 1
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Machine learning (ML) tools are able to learn relationships between the inputs and outputs of large complex systems directly from data. However, for time-varying systems, the predictive capabilities of ML tools degrade if the systems are no longer ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2198dd67519ba8d4a43180eab30fa3f
https://doi.org/10.1038/s41598-021-98785-0
https://doi.org/10.1038/s41598-021-98785-0
Autor:
Andrew M. Minor, Yanglin Zhu, Johan D. Carlström, Zhiqiang Mao, Archana Raja, Khalid M. Siddiqui, Daniel B. Durham, Robert A. Kaindl, Colin Ophus, Daniele Filippetto, Sangeeta Rajpurohit, Camille Stavrakas, Frederick Cropp, Pietro Musumeci, Liang Z. Tan
Publikováno v:
Ultrafast Phenomena and Nanophotonics XXV.
We discuss our experiments that apply ultrafast electron diffraction (UED) to study structural dynamics of the phase transition in single crystal tantalum ditelluride, TaTe2, a quasi-2D quantum material which exhibits a trimer superstructure at cryog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69bac1eedfb3ccf1e48c3d77025f9a13
https://doi.org/10.1117/12.2577621
https://doi.org/10.1117/12.2577621
Machine learning (ML) tools are able to learn relationships between the inputs and outputs of large complex systems directly from data. However for time-varying systems, the predictive capabilities of ML tools degrade if the systems are no longer acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79c2a075707bb48b356c6e673b9db5b8
http://arxiv.org/abs/2102.10510
http://arxiv.org/abs/2102.10510
Autor:
Andrew M. Minor, Zhiqiang Mao, Camille Stavrakas, Daniele Filippetto, Sangeeta Rajpurohit, Pietro Musumeci, Liang Z. Tan, Khalid M. Siddiqui, Robert A. Kaindl, Frederick Cropp, Archana Raja, Johan D. Carlström, D. B. Durham, Yanglin Zhu, Colin Ophus
Publikováno v:
Conference on Lasers and Electro-Optics.
We report the first ultrafast study of TaTe2, utilizing MeV-scale ultrafast electron diffraction to reveal rapid photo-induced melting of its low-temperature trimer superstructure. Density-functional calculations indicate intra-trimer charge transfer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9d94d5455a7a7c7de048ad766740189
https://doi.org/10.1364/cleo_qels.2021.ff2l.4
https://doi.org/10.1364/cleo_qels.2021.ff2l.4
Autor:
Andreas K. Schmid, Robert A. Kaindl, Frederick Cropp, Pietro Musumeci, Andrew M. Minor, Daniel B. Durham, Daniele Filippetto, Khalid M. Siddiqui
Publikováno v:
Ultrafast Nonlinear Imaging and Spectroscopy VIII.
Ultrafast electron diffraction (UED) has become a leading technique for investigation of structural dynamics in solids providing high spatial and temporal resolutions. Radio frequency (RF) based photoinjectors providing Mega-electron-volt (MeV) scale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08299ac33a10dc812d84b8755f8b6c4e
https://doi.org/10.1117/12.2568320
https://doi.org/10.1117/12.2568320
Autor:
Pietro Musumeci, Johan D. Carlström, Robert A. Kaindl, Daniele Filippetto, Khalid M. Siddiqui, Colin Ophus, Camille Stavrakas, Daniel B. Durham, Frederick Cropp, Yanglin Zhu, Zhiqiang Mao, Archana Raja, Sangeeta Rajpurohit, Andrew M. Minor, Liang Z. Tan
Publikováno v:
Communications Physics, vol 4, iss 1
Communications Physics, Vol 4, Iss 1, Pp 1-7 (2021)
Communications Physics, Vol 4, Iss 1, Pp 1-7 (2021)
Quasi-two-dimensional transition-metal dichalcogenides are a key platform for exploring emergent nanoscale phenomena arising from complex interactions. Access to the underlying degrees-of-freedom on their natural time scales motivates the use of adva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bd7f6fac22a97658f164898380534ff