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Title | STEMsalabim — STEMsalabim 5.3.0 |
Description | STEMsalabim¶ STEMsalabim latest Getting Started What STEMsalabim calculates Installing STEMsalabim Running STEMsalabim Visualization of crystals and results More infor |
Keywords | N/A |
WebSite | stemsalabim.de |
Host IP | 159.69.12.9 |
Location | United States |
Euro€1,102
Zuletzt aktualisiert: 2022-06-04 18:41:47
stemsalabim.de hat Semrush globalen Rang von 38,380,578. stemsalabim.de hat einen geschätzten Wert von € 1,102, basierend auf seinen geschätzten Werbeeinnahmen. stemsalabim.de empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in United States mit der IP-Adresse 159.69.12.9. Laut SiteAdvisor ist stemsalabim.de sicher zu besuchen. |
Kauf-/Verkaufswert | Euro€1,102 |
Tägliche Werbeeinnahmen | Euro€20,938 |
Monatlicher Anzeigenumsatz | Euro€7,163 |
Jährliche Werbeeinnahmen | Euro€551 |
Tägliche eindeutige Besucher | 551 |
Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen. |
Host | Type | TTL | Data |
stemsalabim.de. | A | 7198 | IP: 159.69.12.9 |
stemsalabim.de. | NS | 86400 | NS Record: robotns3.second-ns.com. |
stemsalabim.de. | NS | 86400 | NS Record: robotns2.second-ns.de. |
stemsalabim.de. | NS | 86400 | NS Record: ns1.first-ns.de. |
stemsalabim.de. | MX | 86400 | MX Record: 10 mail.stemsalabim.de. |
STEMsalabim latest Getting Started What STEMsalabim calculates Installing STEMsalabim Running STEMsalabim Visualization of crystals and results More information General information Simulation Parameters File formats Frequently Asked Questions What’s new Citing STEMsalabim Research done with STEMsalabim STEMsalabim Docs » STEMsalabim Edit on GitLab STEMsalabim ¶ The STEMsalabim software aims to provide accurate scanning transmission electron microscopy (STEM) image simulation of a specimen whose atomic structure is known. It implements the frozen lattice multi-slice algorithm as described in great detail in the book Advanced computing in electron microscopy by Earl J. Kirkland. While there are multiple existing implementations of the same technique, at the time of this writing none of them is suitable for leveraging massive parallelization available on high-performance computing (HPC) clusters, making it possible to simulate large supercells and parameter sweeps in reasonable time. The |
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