Search results
- 1.0580261 - ÚFA 2025 RIV CN eng J - Journal Article
Jung, J. - Connor, H. K. - Dimmock, A.P. - Sembay, S. - Read, A. M. - Souček, Jan
Mshpy23: a user-friendly, parameterized model of magnetosheath conditions.
Earth and Planetary Physics. Roč. 8, č. 1 (2024), s. 89-104. ISSN 2096-3955
Institutional support: RVO:68378289
Keywords : magnetosheath * python * modeling
OECD category: Fluids and plasma physics (including surface physics)
Impact factor: 2.9, year: 2022
Method of publishing: Open access
https://www.eppcgs.org/en/article/doi/10.26464/epp2023065
Permanent Link: https://hdl.handle.net/11104/0349260File Download Size Commentary Version Access 0580261_Earth and Plan Physics_Souček_2024.pdf 2 1.8 MB Publisher’s postprint require - 2.0570261 - ÚFM 2024 RIV NL eng J - Journal Article
Gehringer, D. - Friák, Martin - Holec, D.
Models of configurationally-complex alloys made simple.
Computer Physics Communications. Roč. 286, MAY (2023), č. článku 108664. ISSN 0010-4655. E-ISSN 1879-2944
R&D Projects: GA ČR(CZ) GA20-16130S; GA MŠMT 8J21AT002
Institutional support: RVO:68081723
Keywords : Randomness * Modelling * Disorder * Python
OECD category: Condensed matter physics (including formerly solid state physics, supercond.)
Impact factor: 6.2, year: 2022
Method of publishing: Open access
https://www.webofscience.com/wos/woscc/full-record/WOS:000927619500001
Permanent Link: https://hdl.handle.net/11104/0341757 - 3.0568867 - ÚTAM 2024 RIV CZ eng L4 - Software
Vopálenský, Michal
ToraDjust Controller - Software tool for controlling micrometric platform.
Internal code: ToraDjust_SW ; 2023
Technical parameters: Licenci poskytne: Michal Vopálenský, vopalensky@itam.cas.cz, tel: 567 225 343
Economic parameters: nástroj pro ovládání dvouosého motorizovaného stolku
Grant - others:AV ČR(CZ) StrategieAV21/23
Program: StrategieAV
Institutional support: RVO:68378297
Keywords : high-resolution X-ray tomography * precise positioning * Python programming language
OECD category: Electrical and electronic engineering
https://www.itam.cas.cz/Software/ToraDjust-Controller/index.html
Permanent Link: https://hdl.handle.net/11104/0340133 - 4.0562588 - ÚI 2024 RIV SG eng C - Conference Paper (international conference)
Cabessa, Jérémie - Hernault, H. - Lamonato, Y. - Rochat, M. - Levy, Y. Z.
The EsnTorch Library: Effcient Implementation of Transformer-Based Echo State Networks.
Neural Information Processing. 29th International Conference, ICONIP 2022, Proceedings, Part VII. Singapore: Springer, 2023 - (Tanveer, M.; Agarwal, A.; Ozawa, S.; Ekbal, A.; Jatowt, A.), s. 235-246. Communications in Computer and Information Science, 1794. ISBN 978-981991647-4. ISSN 1865-0929.
[ICONIP 2022: The International Conference on Neural Information Processing /29./. Indore / Virtual (IN), 22.11.2022-26.11.2022]
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : reservoir computing * echo state networks * natural language processing (NLP) * text classification * transformers * BERT * python library * Hugging Face
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.1007/978-981-99-1648-1_20
Permanent Link: https://hdl.handle.net/11104/0334891 - 5.0561074 - FZÚ 2023 RIV NL eng J - Journal Article
Hellerstedt, Jack - Cahlík, Aleš - Švec, Martin - Stetsovych, Oleksandr - Hennen, T.
Counting molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy images.
SOFTWARE IMPACTS. Roč. 12, May (2022), č. článku 100301. ISSN 2665-9638
Institutional support: RVO:68378271
Keywords : scanning tunneling microscopy * python * molecules * counting
OECD category: Condensed matter physics (including formerly solid state physics, supercond.)
Impact factor: 2.1, year: 2022
Method of publishing: Open access
Permanent Link: https://hdl.handle.net/11104/0333922File Download Size Commentary Version Access 0561074.pdf 2 1.1 MB CC Licence Publisher’s postprint open-access - 6.0556001 - FZÚ 2023 RIV NL eng J - Journal Article
Domonkos, M. - Jackivová, Rajisa - Pathó, A.
Image analysis algorithm for the verification of hexagonal symmetry in spherical nanostructures.
Microelectronic Engineering. Roč. 251, Jan (2022), č. článku 111635. ISSN 0167-9317. E-ISSN 1873-5568
Research Infrastructure: CzechNanoLab - 90110
Institutional support: RVO:68378271
Keywords : image analysis * nanosphere lithography * defect detection * hexagonal ordering * scanning electron microscopy * Python
OECD category: Electrical and electronic engineering
Impact factor: 2.3, year: 2022
Method of publishing: Limited access
https://doi.org/10.1016/j.mee.2021.111635
Permanent Link: http://hdl.handle.net/11104/0330401 - 7.0554620 - FZÚ 2022 RIV US eng J - Journal Article
Kloc, M. - Šimsa, Daniel - Hanák, Filip - Kaprálová-Žďánská, Petra Ruth - Stránský, P. - Cejnar, P.
Quasiclassical approach to quantum quench dynamics in the presence of an excited-state quantum phase transition.
Physical Review A. Roč. 103, č. 3 (2021), č. článku 032213. ISSN 2469-9926. E-ISSN 2469-9934
R&D Projects: GA ČR(CZ) GA20-21179S; GA MŠMT LTT17015
Institutional support: RVO:68378271
Keywords : autocorrelation function * python framework * space * coherence * wigner * approximation * entanglement * systems * qutip
OECD category: Atomic, molecular and chemical physics (physics of atoms and molecules including collision, interaction with radiation, magnetic resonances, Mössbauer effect)
Impact factor: 2.971, year: 2021
Method of publishing: Limited access
https://doi.org/10.1103/PhysRevA.103.032213
Permanent Link: http://hdl.handle.net/11104/0329331 - 8.0551116 - ÚEB 2022 RIV CH eng J - Journal Article
Polák, Michal - Miřijovský, J. - Hernándiz, Alba E. - Špíšek, Z. - Koprna, R. - Humplík, Jan
Innovative UAV LiDAR Generated Point-Cloud Processing Algorithm in Python for Unsupervised Detection and Analysis of Agricultural Field-Plots.
Remote Sensing. Roč. 13, č. 16 (2021), č. článku 3169. E-ISSN 2072-4292
R&D Projects: GA MŠMT(CZ) EF16_019/0000827
Institutional support: RVO:61389030
Keywords : LiDAR * Python * UAV
OECD category: Biochemistry and molecular biology
Impact factor: 5.349, year: 2021
Method of publishing: Open access
http://doi.org/10.3390/rs13163169
Permanent Link: http://hdl.handle.net/11104/0326545File Download Size Commentary Version Access 2021_Polak_REMOTE SENSING_3169.pdf 2 64.4 MB Other open-access - 9.0550948 - ÚI 2022 RIV CZ eng L4 - Software
Cakan, C. - Jajcay, Nikola
neurolib.
Internal code: neurolib ; 2021
Technical parameters: neurolib is a python library, and as such requires working installation of python. neurolib is tested and runs without problems on Linux systems (python versions 3.6 — 3.8) and macOS systems (python versions 3.6 — 3.7). neurolib requires several third-party python libraries (such as numpy, scipy, xarray and others), all of these are open sourced and will be installed automatically during neurolib installation via pip.
Economic parameters: neurolib is very easy-to-use python library for whole-brain modelling. Due to the use of numba compiler, it is one of the fastest brain simulator to the best of our knowledge. Its modular structure allows for easy prototyping of new models, and thanks to the MultiModel framework it easily allows for heterogeneous modelling, where multiple model types and definitions can be coupled together and simulated as a whole. Moreover, it is the only brain simulation library that comes with built-in module for parameter explorations and parameter optimisation using genetic algorithms. neurolib is available under MIT licence.
R&D Projects: GA MŠMT(CZ) EF19_074/0016209
Institutional support: RVO:67985807
Keywords : brain modelling * population models * python
OECD category: Neurosciences (including psychophysiology
https://github.com/neurolib-dev/neurolib
Permanent Link: http://hdl.handle.net/11104/0326235 - 10.0549295 - ÚFP 2022 RIV CZ eng L4 - Software
Svoboda, Jakub - Cavalier, Jordan - Ficker, Ondřej - Imríšek, Martin - Mlynář, Jan
Tomotok.
Internal code: Tomotok core ; 2021
Technical parameters: Standardizace výpočtu tomografické inverze pro vícero experimentálních zařízení.
Economic parameters: Úspora lidské práce.
Institutional support: RVO:61389021
Keywords : Tomotok * Python
OECD category: Computer hardware and architecture
https://iopscience.iop.org/article/10.1088/1748-0221/16/12/C12015
Permanent Link: http://hdl.handle.net/11104/0325319