Výsledky vyhľadávania - "modular python package"

PyFasma: an open-source, modular Python package for preprocessing and multivariate analysis of Raman spectroscopy data

Autori: Eleftherios Pavlou Nikolaos Kourkoumelis

Zdroj: The Analyst. 150:3112-3122

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

Autori: Shuvam Gupta

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

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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/f7595e49e64d4404a30dda6c562332fc

DomainLab: A modular Python package for domain generalization in deep learning

Autori: Sun, Xudong Feistner, Carla Gossmann, Alexej a ďalší

Témy: Computer Science - Machine Learning, Computer Science - Software Engineering, text

URL: http://arxiv.org/abs/2403.14356

atomSmltr: a modular Python package to simulate laser cooling setups

Autori: Weill, Mateo Bertoldi, Andrea Dareau, Alexandre

Predmety: Atomic Physics, Quantum Gases

Relation: http://arxiv.org/abs/2511.20596

Dostupnosť: http://arxiv.org/abs/2511.20596

CatalightAn Open-Source Automated Photocatalytic Reactor Package Illustrated through Plasmonic Acetylene Hydrogenation

Autori: B. B. Bourgeois A. X. Dai C. C. Carlin a ďalší

Predmety: Biotechnology, Information Systems not elsewhere classified, simple python script, reaction rate order, multiday experiment controlled, molecular surface coverage, modular python package, industrially relevant reaction, identify systematic sources, gas flow rate, complicated parameter space, plasmonic aupd catalyst, 3 , 2 , catalight orchestrates measurements, plasmonic acetylene hydrogenation, plasmonic reactions, catalysis measurements, acetylene hydrogenation, systematically stores, spectral profile, previous findings, photocatalytic mechanism, induced heating, illumination power, hot electron, findings highlight, evaluate performance, driven mechanism, catalight 

Dostupnosť: https://doi.org/10.1021/acs.jpca.5c02883.s001
https://figshare.com/articles/journal_contribution/Catalight_An_Open-Source_Automated_Photocatalytic_Reactor_Package_Illustrated_through_Plasmonic_Acetylene_Hydrogenation/29435619

QuPepFold: A python package for hybrid quantum-classical protein folding simulations with CVaR-optimized VQE.

Autori: Uttarkar, Akshay Niranjan, Vidya Saxena, Amit a ďalší

Zdroj: PLoS ONE; 2/11/2026, Vol. 21 Issue 2, p1-20, 20p

Predmety: PROTEIN folding, QUANTUM computing, SIMULATION methods & models, DRUG discovery, PROTEINS, MATHEMATICAL optimization

DIVERGE v4: A Platform for Large-Scale Analysis of Functional Divergence Across Multi-Gene Families.

Autori: Chen, Yichang Xu, Xiaobin Pan, Yi a ďalší

Zdroj: Molecular Biology & Evolution; Nov2025, Vol. 42 Issue 11, p1-10, 10p

Predmety: BIOINFORMATICS, BIOINFORMATICS software, PHYLOGENY, BIOLOGICAL divergence, PYTHON programming language, PROTEIN synthesis, INTELLIGENT agents, MOLECULAR genetics

SynthATDelays : A Minimalist Python Package for the Generation of Synthetic Air Transport Delay Data.

Autori: Büth, Carlson Moses Zanin, Massimiliano

Zdroj: Aerospace (MDPI Publishing); Oct2025, Vol. 12 Issue 10, p900, 14p

Predmety: PYTHON programming language, MODULAR design, CAUSAL inference

rhodent: A python package for analyzing real-time TDDFT response

Autori: Fojt, Jakub Rossi, T. P. Erhart, Paul

Zdroj: Plasmon-exciton coupling at the attosecond-subnanometer scale: Tailoring strong light-matter interactions at room temperature Fasbeteende och elektroniska egenskaper hos halogenid-perovskiter från simulering på atomskala Computer Physics Communications Data for "rhodent: A Python package for analyzing real-time TDDFT response". 322

Predmety: Time-dependent density functional theory, Plasmon, Hot carrier, Nanoparticle

Popis súboru: electronic

Prístupová URL adresa: https://research.chalmers.se/publication/550897
https://research.chalmers.se/publication/550897/file/550897_Fulltext.pdf

AutoMorphoTrack: A modular framework for quantitative analysis of organelle morphology, motility, and interactions at single-cell resolution.

Autori: Bayati A Schumacher JG Chen X

Zdroj: BioRxiv : the preprint server for biology [bioRxiv] 2026 Feb 02. Date of Electronic Publication: 2026 Feb 02.

Spôsob vydávania: Journal Article; Preprint

Informácie o časopise: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE

Climate Aware Deep Neural Networks (CADNN) for wind power simulation

Autori: Forootani, Ali Esmaeili Aliabadi, Danial Thrän, Daniela

Zdroj: ISSN: 2590-0056

Témy: Coupled Model Intercomparison Project (CMIP), Deep Neural Network (DNN), Wind power, Climate dataset, Long Short Term Memory (LSTM)-DNN

URL: https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=30258

Catalight─An Open-Source Automated Photocatalytic Reactor Package Illustrated through Plasmonic Acetylene Hydrogenation.

Autori: Bourgeois BB Dai AX Carlin CC a ďalší

Zdroj: The journal of physical chemistry. A [J Phys Chem A] 2025 Jul 10; Vol. 129 (27), pp. 6170-6178. Date of Electronic Publication: 2025 Jun 29.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: American Chemical Society Country of Publication: United States NLM ID: 9890903 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5215 (Electronic) Linking ISSN: 10895639 NLM ISO Abbreviation: J Phys Chem A Subsets: MEDLINE; PubMed not MEDLINE

MARTINI: Mock Array Radio Telescope Interferometry of the Neutral ISM

Autori: Oman, Kyle A.

Témy: Astrophysics - Astrophysics of Galaxies, text

URL: http://arxiv.org/abs/2406.05574

TransFit-CSM: A Fast, Physically Consistent Framework for Interaction-powered Transients.

Autori: Zhang, Yu-Hao Liu, Liang-Duan Du, Ze-Xin a ďalší

Zdroj: Astrophysical Journal; 2026, Vol. 999 Issue 2, p1-14, 14p

Predmety: CIRCUMSTELLAR matter, MASS loss (Astrophysics), RADIATION trapping, MECHANICAL shock, BAYESIAN analysis

Privacy Amplification with Python

Autori: Méndez Veiga, Iyán Hänggi, Esther

Zdroj: QIP, 26th Conference on Quantum Information Processing (QIP 2023), Ghent University, 04.02.2023 - 10.02.2023

Témy: cryptography, privacy amplification, randomness extractor, python, implementation, info:eu-repo/semantics/lecture

URL: https://doi.org/10.5281/zenodo.7813780
https://zenodo.org/communities/lory/
https://zenodo.org/communities/lory_hslu_i/
https://zenodo.org/communities/lory_hslu/
https://doi.org/10.5281/zenodo.7813779
https://zenodo.org/communities/lory
https://zenodo.org/communities/lory_hslu_i
https://zenodo.org/communities/lory_hslu
https://doi.org/10.5281/zenodo.7813779

Real-Time Robust 2.5D Stereo Multi-Object Tracking with Lightweight Stereo Matching Algorithm.

Autori: Lee, Jinhyeong Shin, Junyoung Park, Eunwoo a ďalší

Zdroj: Sensors (14248220); Nov2025, Vol. 25 Issue 21, p6773, 27p

Predmety: MULTIPLE target tracking, OBJECT tracking (Computer vision), STEREO vision (Computer science), MATHEMATICAL optimization, AUTOMATIC tracking

Juno: a Python-based graphical package for optical system design

Autori: Dierickx, David Cleeve, Patrick Gorelick, Sergey a ďalší

Témy: Physics - Instrumentation and Detectors, Mathematics - Numerical Analysis, Physics - Optics, text

URL: http://arxiv.org/abs/2212.12540

ElixirSeeker: A Machine Learning Framework Utilizing Fusion Molecular Fingerprints for the Discovery of Lifespan‐Extending Compounds.

Autori: Pan, Yan Cai, Hongxia Ye, Fang a ďalší

Zdroj: Aging Cell; Aug2025, Vol. 24 Issue 8, p1-18, 18p

Predmety: AGING prevention, DRUG discovery, CAENORHABDITIS elegans, MACHINE learning, LONGEVITY

Contents list.

Zdroj: Analyst; 7/21/2025, Vol. 150 Issue 14, p2959-2965, 7p

Climate Aware Deep Neural Networks (CADNN) for wind power simulation

Autori: Ali Forootani Danial Esmaeili Aliabadi Daniela Thrän

Zdroj: Array, Vol 28, Iss , Pp 100534- (2025)

Predmety: Coupled Model Intercomparison Project (CMIP), Deep Neural Network (DNN), Wind power, Climate dataset, Long Short Term Memory (LSTM)-DNN, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590005625001614; https://doaj.org/toc/2590-0056

Prístupová URL adresa: https://doaj.org/article/50fa01240f404089aa2a4e9e03eee309