Results 151 to 160 of about 4,856,739 (321)
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Advanced Intelligent Discovery, EarlyView.Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Options for Working with Files in the Python Programming Language
, 2023 One of the pressing issues is the approach of general education schoolchildren with a separate method in teaching programming languages, the development of simplified methods, the assignment of tasks taking into account the age of students in a time when
Nayimovich, Zaripov Nozimbek +1 more
core
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter
Advanced Intelligent Discovery, EarlyView.We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon +3 more
wiley +1 more source
Approaching the largest ‘API’: extracting information from the Internet with Python
Code4Lib Journal, 2018 This article explores the need for libraries to algorithmically access and manipulate the world’s largest API: the Internet. The billions of pages on the ‘Internet API’ (HTTP, HTML, CSS, XPath, DOM, etc.) are easily accessible and manipulable. Libraries
Jonathan E. Germann
doaj
Comprehensive Review of the Python Programming Language
This review paper provides an extensive discussion of the Python programming language, covering its history, syntax, object-oriented features, modules, libraries, and wide range of applications. Python’s role in academia, research, and industry is explored, with practical code examples and comparisons to other major programming languages.
openaire +2 more sources
Programming Mobile Apps with Python
, 2012 Apps for smartphones and tablet PCs are getting the most relevant kind of software. The numbers of apps in app markets for Android, iOS and Windows Phone simply explodes.
Schreiber, Andreas
core
Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
The Critical Role of Programming Languages among Healthcare Data Scientists: A Systematic Review of Trends, Applications, and Future Directions [PDF]
Journal of Social Behavior and Community HealthBackground: Artificial intelligence (AI) and data science have transformed healthcare by enabling advanced analytical techniques. AI-driven solutions rely on sophisticated algorithms that require specialized programming languages.
Seyedeh Nahid Seyedhasani +4 more
doaj