Suchergebnisse - "((\"open source python package\") OR (\"open resource python package\"))"

OQuPy: A Python package to efficiently simulate non-Markovian open quantum systems with process tensors.

Autoren: Fux, Gerald E. Fowler-Wright, Piper Beckles, Joel et al.

Quelle: Journal of Chemical Physics; 9/28/2024, Vol. 161 Issue 12, p1-19, 19p

Schlagwörter: OPEN source software, QUANTUM theory, TECHNOLOGICAL innovations, QUANTUM correlations, QUANTUM chemistry, PYTHON programming language

ReSurfEMG: A Python Package for Comprehensive Analysis of Respiratory Surface EMG.

Autoren: Warnaar, Robertus Simon Petrus Moore, Candace Makeda Baccinelli, Walter et al.

Quelle: Sensors (14248220); Oct2025, Vol. 25 Issue 20, p6465, 18p

Schlagwörter: SIGNAL processing, ELECTROMYOGRAPHY, PYTHON programming language, STANDARDIZATION, OPEN source software

Spexwavepy: an open-source Python package for X-ray wavefront sensing using speckle-based techniques

Autoren: Lingfei Hu Hongchang Wang Kawal Sawhney

Quelle: Journal of Synchrotron Radiation, Vol 31, Iss 5, Pp 1037-1042 (2024)

Schlagwörter: spexwavepy, x-ray optics, wavefront sensing, speckle tracking, python packages, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798, Crystallography, QD901-999

Dateibeschreibung: electronic resource

Relation: https://journals.iucr.org/paper?S1600577524005861; https://doaj.org/toc/1600-5775

Zugangs-URL: https://doaj.org/article/6cccaba3a13c4dfb8597fa8bb7d925bd

GPAW: An open Python package for electronic structure calculations: An open Python package for electronic structure calculations

Autoren: Jens Jørgen Mortensen Ask Hjorth Larsen Mikael Kuisma et al.

Weitere Verfasser: Jens Jørgen Mortensen Ask Hjorth Larsen Mikael Kuisma et al.

Quelle: Mortensen, J J, Larsen, A H, Kuisma, M, Ivanov, A V, Taghizadeh, A, Peterson, A, Haldar, A, Dohn, A O, Schäfer, C, Jónsson, E Ö, Hermes, E D, Nilsson, F A, Kastlunger, G, Levi, G, Jónsson, H, Häkkinen, H, Fojt, J, Kangsabanik, J, Sødequist, J, Lehtomäki, J, Heske, J, Enkovaara, J, Winther, K T, Dulak, M, Melander, M M, Ovesen, M, Louhivuori, M, Walter, M, Gjerding, M, Lopez-Acevedo, O, Erhart, P, Warmbier, R, Würdemann, R, Kaappa, S, Latini, S, Boland, T M, Bligaard, T, Skovhus, T, Susi, T, Maxson, T, Rossi, T, Chen, X, Schmerwitz, Y L A, Schiøtz, J, Olsen, T, Jacobsen, K W & Thygesen, K S 2024, ' GPAW: An open Python package for electronic structure calculations ', Journal of Chemical Physics, vol. 160, no. 9, 092503 . https://doi.org/10.1063/5.0182685
Journal of Chemical Physics (0021-9606) vol.160(2024)

Schlagwörter: Electronic Structure Calculations, optiset ominaisuudet, Physical Chemistry, Resurssiviisausyhteisö, avoin lähdekoodi, Computational Chemistry, 104011 Materials chemistry, Materials Chemistry, magnetismi, Condensed Matter - Materials Science, Physics, Python (programming language), Computational science, Computational Physics (physics.comp-ph), laskennallinen kemia, Condensed Matter Physics, sähkökemia, Atomic and Molecular Physics, and Optics, Chemistry, Nanoscience Center, Physical Sciences, 103018 Materials physics, Physics - Computational Physics, Kohn-Sham equation, optical properties, Electronic structure, Atom and Molecular Physics and Optics, projector augmented wave method, Materials Science, School of Resource Wisdom, FOS: Physical sciences, Quantum mechanics, Advancements in Density Functional Theory, 102009 Computer simulation, electronic structure methods, programming languages, simulointi, Theoretical Chemistry, Kemia, density functional theory, Molecular Simulations, Accelerating Materials Innovation through Informatics, tiheysfunktionaaliteoria, Fysikaalinen kemia, 103018 Materialphysik, High-Temperature Superconductivity, Materials Science (cond-mat.mtrl-sci), Computer science, Bethe-Salpeter equation, 104011 Materialchemie, Operating system, Physics and Astronomy, electronic band structure, Density functional theory, nanohiukkaset, Python, 102009 Computersimulation

Dateibeschreibung: application/pdf; fulltext; pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38450733
http://arxiv.org/abs/2310.14776
https://ucrisportal.univie.ac.at/de/publications/2fb4c9a6-e7a1-4166-8c11-ad18c42cd05a
https://doi.org/10.1063/5.0182685
https://orbit.dtu.dk/en/publications/ddb8754d-a24a-4bd8-b937-0e1492db47ce
http://urn.fi/URN:NBN:fi:jyu-202403192485
https://research.chalmers.se/en/publication/540751
https://aaltodoc.aalto.fi/handle/123456789/127295

BibMon: An open source Python package for process monitoring, soft sensing, and fault diagnosis

Autoren: Afrânio Melo Tiago S.M. Lemos Rafael M. Soares et al.

Quelle: Digital Chemical Engineering, Vol 13, Iss , Pp 100182- (2024)

Schlagwörter: Process monitoring, Fault detection and diagnosis, Soft sensor, Machine learning, Open source, Chemical engineering, TP155-156, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772508124000449; https://doaj.org/toc/2772-5081

Zugangs-URL: https://doaj.org/article/390bdfd826fa469781abab3bff6de4c0

Python Package abstcal: An Open-Source Tool for Calculating Abstinence From Timeline Followback Data

Autoren: Yong Cui Jason D Robinson Rudel E Rymer et al.

Quelle: Nicotine & Tobacco Research. 24:146-148

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, Smoking, Humans, Reproducibility of Results, Smoking Cessation, 3. Good health

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/33912971
https://europepmc.org/article/MED/33912971
https://www.ncbi.nlm.nih.gov/pubmed/33912971

Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records.

Autoren: Kong, Chun Yin Vasquez, Picasso Farhoodimoghadam, Makan et al.

Quelle: BMC Veterinary Research. 10/2/2025, Vol. 21 Issue 1, p1-12. 12p.

Schlagworte: Machine learning, Electronic health records, Open source software, Patient care, Veterinary medicine, Diagnosis, Classification algorithms, Synchronization

STCRpy: a software suite for T-cell receptor structure parsing, interaction profiling, and machine learning dataset preparation Open Access.

Autoren: Quast, Nele P Deane, Charlotte M Raybould, Matthew I J

Quelle: Bioinformatics; Oct2025, Vol. 41 Issue 10, p1-5, 5p

Schlagwörter: T cell receptors, MACHINE learning, OPEN source software, INTEGRATED software, RESEARCH methodology, DRUG discovery, MOLECULAR structure, PYTHON programming language

easyspec: An Open-source Python Package for Long-slit Spectroscopy

Autoren: Raniere de Menezes Francesco Massaro Michela Negro et al.

Quelle: The Astronomical Journal, Vol 170, Iss 3, p 166 (2025)

Schlagwörter: Spectroscopy, Astronomy data analysis, Astronomy image processing, Active galactic nuclei, Astronomy, QB1-991

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1538-3881

Zugangs-URL: https://doaj.org/article/7dd0e5b4442d49859789abf3305ef31e

ReSurfEMG: A Python Package for Comprehensive Analysis of Respiratory Surface EMG

Autoren: Robertus Simon Petrus Warnaar Candace Makeda Moore Walter Baccinelli et al.

Quelle: Sensors, Vol 25, Iss 20, p 6465 (2025)

Schlagwörter: respiratory surface electromyography, software, Python, open-source, signal processing, quality assessment, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/20/6465; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/2820cec7a581407baabd9d2cfa1c8e25

mspacman: A modular python package for three-dimensional (3D) partial volume corrected particle characterization using X-ray computed tomography

Autoren: Shuvam Gupta

Quelle: SoftwareX, Vol 31, Iss , Pp 102344- (2025)

Schlagwörter: Particle characterization, 3D analyses, Open-source software, CT, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352711025003103; https://doaj.org/toc/2352-7110

Zugangs-URL: https://doaj.org/article/f7595e49e64d4404a30dda6c562332fc

Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis

Autoren: Primakov, Sergey Lavrova, Elizaveta Salahuddin, Zohaib et al.

Schlagwörter: eess.IV, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Learning, Quantitative Biology - Quantitative Methods, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Relation: https://github.com/primakov/precision-medicine-toolbox

Zugangs-URL: https://orbi.uliege.be/handle/2268/288508

GPAW: An open Python package for electronic structure calculations.

Autoren: Mortensen, Jens Jørgen Larsen, Ask Hjorth Kuisma, Mikael et al.

Quelle: Journal of Chemical Physics; 3/7/2024, Vol. 160 Issue 9, p1-41, 41p

Schlagwörter: ELECTRONIC packaging, PYTHON programming language, ATOMIC orbitals, BETHE-Salpeter equation, GRAPHICS processing units

mfapy: An open-source Python package for 13C-based metabolic flux analysis

Autoren: Fumio Matsuda Kousuke Maeda Takeo Taniguchi et al.

Quelle: Metabolic Engineering Communications, Vol 13, Iss , Pp e00177- (2021)

Schlagwörter: 13C-based metabolic flux analysis, Experimental design, Non-linear optimization, Open-source software, Python package, Biotechnology, TP248.13-248.65, Biology (General), QH301-705.5

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214030121000171; https://doaj.org/toc/2214-0301

Zugangs-URL: https://doaj.org/article/7b89c38c628645b7977410b088a13e6e

Coord2Region: A Python Package for Mapping 3D Brain Coordinates to Anatomy and Function

Autoren: Abdelhedi, Hamza Mantilla-Ramos, Yorguin-Jose Esmaeili, Sina et al.

Schlagwörter: Python Package, Functional Mapping, Anatomical Mapping, Neuroimaging, 3D Brain Coordinates, Brain Atlases, Open Source Software, Coord2Region

Modeling Intermittent Water Supply in SWMM: A Critical Review With Reproducible Recommendations and a Python Package.

Autoren: Abdelazeem, Omar Meyer, David D. J.

Quelle: Water Resources Research; Aug2025, Vol. 61 Issue 8, p1-19, 19p

Schlagwörter: HYDRAULIC models, SIMULATION methods & models, NUMERICAL analysis, WATER supply, ENVIRONMENTAL infrastructure, REPRODUCIBLE research, PYTHON programming language

pyActigraphy: open-source python package for actigraphy data visualisation and analysis

Autoren: Hammad, Grégory Reyt, Mathilde Beliy, Nikita et al.

Schlagwörter: Social & behavioral sciences, psychology, Neurosciences & behavior, Sciences sociales & comportementales, psychologie, Neurosciences & comportement

Zugangs-URL: https://orbi.uliege.be/handle/2268/255113

chiLife: An open-source Python package for in silico spin labeling and integrative protein modeling.

Autoren: Maxx H Tessmer Stefan Stoll

Quelle: PLoS Computational Biology, Vol 19, Iss 3, p e1010834 (2023)

Schlagwörter: Biology (General), QH301-705.5

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1553-734X; https://doaj.org/toc/1553-7358

Zugangs-URL: https://doaj.org/article/8ffd748e51644037931837845baa75ec

pyPANTERA: A Python PAckage for Natural language obfuscaTion Enforcing pRivacy & Anonymization

Autoren: De Faveri F. L. Faggioli G. Ferro N.

Quelle: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. :5348-5353

Schlagwörter: differential privacy, information retrieval, NLP, privacy preserving mechanisms, security

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/11577/3540648
https://doi.org/10.1145/3627673.3679173

SUREHYP: An Open Source Python Package for Preprocessing Hyperion Radiance Data and Retrieving Surface Reflectance

Autoren: Thomas Miraglio Nicholas C. Coops

Quelle: Sensors, Vol 22, Iss 23, p 9205 (2022)

Schlagwörter: atmospheric correction, batch processing, satellite, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/22/23/9205; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/df8d9d64227a441bb1effb19c4d4a4c1