Suchergebnisse - "Python"

dynsight: An open Python platform for simulation and experimental trajectory data analysis.

Autoren: Martino, Simone Becchi, Matteo Tarzia, Andrew et al.

Quelle: Journal of Chemical Physics. 2/28/2026, Vol. 164 Issue 8, p1-9. 9p.

Schlagwörter: *PYTHON programming language, *DATA analysis, *SIMULATION methods & models, *WORKFLOW management, *MOLECULAR dynamics

easyPARM v4.00: A Python-based tool for the automated parameterization of metalloproteins and metal-organic polyhedra with multiple metal centers.

Autoren: Abdelgawwad, Abdelazim M. A. Francés-Monerris, Antonio

Quelle: Journal of Chemical Physics. 12/14/2025, Vol. 163 Issue 22, p1-16. 16p.

Schlagwörter: *PYTHON programming language, *PARAMETERIZATION, *METALLOPROTEINS, *MOLECULAR force constants, *MOLECULAR dynamics

pyTTN: An open-source toolbox for open and closed system quantum dynamics simulations using tree tensor networks.

Autoren: Lindoy, Lachlan P. Rodrigo-Albert, Daniel Rath, Yannic et al.

Quelle: Journal of Chemical Physics. 11/28/2025, Vol. 163 Issue 20, p1-32. 32p.

Schlagwörter: *PYTHON programming language, *TENSOR algebra, *HAMILTON'S principle function, *BENCHMARKING (Management)

A Python tutorial for 3DRISM solvation calculations of chemical and biological molecules.

Autoren: Swanson, Peter C. Cao, Siqin Huang, Xuhui

Quelle: Journal of Chemical Physics. 11/7/2025, Vol. 163 Issue 17, p1-11. 11p.

Schlagwörter: *PYTHON programming language, *BIOMOLECULES, *SOLVATION, *FREE energy (Thermodynamics), *SIMULATION methods & models, *C++

Conceptualization, design and optimal operation of hybrid AC-DC power router grids

Autoren: Gadelha Teixeira Filho, Vinicius

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica

Thesis Advisors: Sumper, Andreas, Bullich Massagué, Eduard

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Optimal power flow, Power router, Energy router, Distribution grid, Modelling, Smart grid, Second-order cone, Pyomo, Python, Branch-flow model, Converter losses, Modular-Multilevel Converter, Power router grid, Àrees temàtiques de la UPC::Enginyeria elèctrica, 621.3 - Enginyeria elèctrica. Electrotècnia. Telecomunicacions

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/695075
https://dx.doi.org/10.5821/dissertation-2117-439793

Simplifying debiased inference via automatic differentiation and probabilistic programming.

Autoren: Luedtke, Alex¹ (AUTHOR)

Quelle: Journal of the Royal Statistical Society: Series B (Statistical Methodology). Feb2026, Vol. 88 Issue 1, p313-329. 17p.

Schlagwörter: AUTOMATIC differentiation, PYTHON programming language, MINIMUM variance estimation, UNBIASED estimation (Statistics), STATISTICAL models, PARAMETERS (Statistics)

Modular approaches and applications in reinforcement learning development and validation of next-generation frameworks

Autoren: Bou Hernández, Albert

Weitere Verfasser: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: De Fabritiis, Gianni

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Deep reinforcement learning, Decision-making algorithms, Python libraries, PyTorch, TorchRL, Drug design

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/694233

ARpest: A GUI-driven ARPES analysis platform

Autoren: Forslund, Ola Kenji

Quelle: SoftwareX. 34

Schlagwörter: ARPES, Analysis, GUI, Python

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-582087
https://doi.org/10.1016/j.softx.2026.102573

Comprehensive energy modeling and optimization of hybrid PV-Wind systems for Ankara, Türkiye and Fujairah, UAE

Autoren: Qamar, Shabahat Hasnain Farouk Salim Habib, Omar Ahmed Said, Zafar et al.

Quelle: Energy Conversion and Management. 29

Schlagwörter: Hybrid Renewable Energy Systems (HRES), Techno-Economic Analysis (TEA), Python-Based Energy Modeling, Renewable Energy Integration, Photovoltaic-Wind Optimization

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-49148
https://doi.org/10.1016/j.ecmx.2026.101520

Virtual and digital models of development of production business processes of industrial enterprises.

Autoren: Zhukov, Aleksandr Ponomareva, Svetlana Khachaturyan, Suren et al.

Quelle: AIP Conference Proceedings. 2026, Vol. 3390 Issue 1, p1-5. 5p.

Schlagwörter: *PYTHON programming language, *DIGITAL twin, *MANUFACTURING industries, *REENGINEERING (Management), *MANUFACTURING process management, *INDUSTRIAL management

Geografische Kategorien: RUSSIA

ARIMA based smart computing model developed in python for monthly international tourist arrivals (ITAs) prediction in India.

Autoren: Kulshrestha, Akshay Shanker Juyal, Deepak Dani, Rakesh et al.

Quelle: AIP Conference Proceedings. 2026, Vol. 3365 Issue 1, p1-8. 8p.

Schlagwörter: *INTERNATIONAL tourism, *PYTHON programming language, *COVID-19 pandemic, *BOX-Jenkins forecasting, *TREND analysis, *FORECASTING, *TOURISM

Geografische Kategorien: INDIA

Stress detection using a novel python based sentiment analysis technique.

Autoren: Goyal, Anita Singh, Maninder Goyal, Anmol

Quelle: AIP Conference Proceedings. 2026, Vol. 3382 Issue 1, p1-9. 9p.

Schlagwörter: *SENTIMENT analysis, *PYTHON programming language, *STRESS management, *FACIAL expression, *SOCIAL network analysis, *LINGUISTICS, *METADATA

Herzberg–Teller coupling in coherent multidimensional spectroscopy: Analytical response functions for multilevel systems.

Autoren: Troiani, Filippo

Quelle: Journal of Chemical Physics; 3/28/2026, Vol. 164 Issue 12, p1-20, 20p

Schlagwörter: ELECTRONIC systems, COUPLING agents (Chemistry), FOURIER analysis, PYTHON programming language

Firma/Körperschaft: GITHUB Inc.

metatensor and metatomic: Foundational libraries for interoperable atomistic machine learning.

Autoren: Bigi, Filippo Abbott, Joseph W. Loche, Philip et al.

Quelle: Journal of Chemical Physics; 2/14/2026, Vol. 164 Issue 6, p1-19, 19p

Schlagwörter: MACHINE learning, ATOMS, SIMULATION software, METADATA, PYTHON programming language

pyRMG: A framework for high-throughput, large-cell DFT calculations on supercomputers.

Autoren: Morelock, Ryan Bagchi, Soumendu Briggs, Emil et al.

Quelle: Journal of Chemical Physics; 2/7/2026, Vol. 164 Issue 5, p1-20, 20p

Schlagwörter: DENSITY functional theory, SUPERCOMPUTERS, GRAPHICS processing units, PYTHON programming language, FOURIER transform infrared spectroscopy

Fast Actual/Expected Data Processing.

Autoren: Wesley, David (AUTHOR)

Quelle: Journal of Insurance Medicine. 2026, Vol. 53 Issue 1, p105-114. 10p.

Schlagwörter: *ELECTRONIC data processing, *REAL-time computing, *BIG data, PYTHON programming language, DEATH rate

Creating a Python platform for students to learn full-stack development of financial applications.

Autoren: Tang, Song¹ (AUTHOR) st290@nyu.edu

Quelle: Financial Innovation. 1/21/2026, Vol. 12 Issue 1, p1-29. 29p.

Schlagwörter: *COMPUTER software development, *EMPLOYABILITY, *FINANCE software, PYTHON programming language, FINANCE education

UNMANAGED TEMPLATES.

Autoren: Salmanov, Vugar Eyvazov, Zaur

Quelle: German International Journal of Modern Science / Deutsche Internationale Zeitschrift für Zeitgenössische Wissenschaft. Nov2025, Issue 116, p91-94. 4p.

Schlagwörter: *PROGRAMMING languages, PYTHON programming language, SYNTAX in programming languages, DESIGN

Multi-objective optimization for social multifamily housing: minimizing heating and cooling demand

Autoren: Benincá, Letiane

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament de Tecnologia de l'Arquitectura

Thesis Advisors: Crespo Sánchez, Eva, Passuello, Ana Carolina

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Multi-objective optimization, Genetic algorithm, NSGA-II, Energy efficiency, Cooling demand, Heating demand, EnergyPlus, Python, Social housing, Otimização multiobjetivo, Algoritmo genético, Eficiência energética, Demanda de resfriamento, Demanda de aquecimento, Habitação de interesse social, Optimización multiobjetivo, Demanda de refrigeración, Demanda de calefacción, Vivienda social, Optimització multiobjectiu, Algoritme genètic, Eficiència energètica, Demanda de refrigeració, Demanda de calefacció, Habitatge social, Àrees temàtiques de la UPC::Arquitectura, Àrees temàtiques de la UPC::Edificació

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/693063
https://dx.doi.org/10.5821/dissertation-2117-421449

Teach Me How to PyCap: A High‐Capacity Well Decision Support Tool Using Analytical Solutions in Python.

Autoren: Fienen, Michael N. Pruitt, Aaron H. Reeves, Howard W.

Quelle: Ground Water. Mar/Apr2026, Vol. 64 Issue 2, p223-234. 12p.

Schlagwörter: *ANALYTICAL solutions, *PYTHON programming language, *WATER conservation, *WATER management, *MONTE Carlo method, *PRESSURE drop (Fluid dynamics), *ENVIRONMENTAL regulations