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211 to 220 of 238 Results
readme.txt
Mar 10, 2026 - Emissive perovskite nanowires in robust nanocontainers - dataset
Plain Text - 284 B - MD5: d10dfc62822f3c28c88459fb08ac8064
readme.txt
Mar 10, 2026 - Emissive perovskite nanowires in robust nanocontainers - dataset
Plain Text - 424 B - MD5: db2d369c4737f2e208ee20b5dd0b47c4
readme.txt
Mar 10, 2026 - Emissive perovskite nanowires in robust nanocontainers - dataset
Plain Text - 644 B - MD5: 08802100d3d8ae9c7230c2bc8e2a1b19
readme.txt
Mar 10, 2026 - Emissive perovskite nanowires in robust nanocontainers - dataset
Plain Text - 288 B - MD5: b1a99b36d68b1bba98e1c3660b30404f
readme.txt
Mar 10, 2026 - Emissive perovskite nanowires in robust nanocontainers - dataset
Plain Text - 303 B - MD5: 07ae250b90e56ec80fe5c563633b0d6a
Exe.py: Ab initio fine structure parameters for trigonal defect qubits within the E⊗e Jahn-Teller case
Feb 5, 2026 - Semiconductor Nanostructures Research Group
Toth, Balazs; Gali, Ádám; Thiering, Gergő, 2025, "Exe.py: Ab initio fine structure parameters for trigonal defect qubits within the E⊗e Jahn-Teller case", https://hdl.handle.net/21.15109/ARP/EXJKGL, ARP, V4
This dataset accompanies the research article about Python code Exe.py that can be used to investigate E⊗e dynamic Jahn-Teller systems.
N3V_point_defect.tar.gz
Feb 5, 2026 - Exe.py: Ab initio fine structure parameters for trigonal defect qubits within the E⊗e Jahn-Teller case
Gzip Archive - 218.3 MB - MD5: a9e0033670a7e3014bdce41c91f78c55
research_data.md
Feb 5, 2026 - Exe.py: Ab initio fine structure parameters for trigonal defect qubits within the E⊗e Jahn-Teller case
Markdown Text - 13.1 KB - MD5: b38a6b247ab653087f791b8633341981
CH3O_radical.tar.gz
Jan 10, 2026 - Exe.py: Ab initio fine structure parameters for trigonal defect qubits within the E⊗e Jahn-Teller case
Gzip Archive - 898.3 KB - MD5: 554e8d22b5a33427616a82132c991858
Group_IV_vacancies.tar.gz
Jan 10, 2026 - Exe.py: Ab initio fine structure parameters for trigonal defect qubits within the E⊗e Jahn-Teller case
Gzip Archive - 205.9 MB - MD5: bb89258bc809ad366a86421caba2b3e7
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