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Showing 1 to 4 of 4 for “"First principle modeling"”.

  1. First Principle Modeling of Hybrid Halide Perovskites for Optoelectronic Applications

    … both topics of debate and may be studied from first principle using modern, state-of-the-art computational software and high-power computing clusters. In this work, HP materials are studied using ab-initio methods to study the ground state and excited state properties. A model used in oxide …

    texas-state Repository record for First Principle Modeling of Hybrid Halide Perovskites for Optoelectronic Applications (opens in a new tab)

  2. Applications of Machine Learning and First-Principle Modeling to Evaluate Design Enhancements in Autoinjectors

    One of the key guiding principles in Amgen operations is to ensure reliability of the offered combination products to best serve patients and maintain a competitive advantage for the business. With a broad device portfolio and increasing sales volume, Amgen now has access to large data repositories …

    mit Repository record for Applications of Machine Learning and First-Principle Modeling to Evaluate Design Enhancements in Autoinjectors (opens in a new tab)

  3. Application of First Principle Modeling in Combination with Empirical Design of Experiments and Real-Time Data Management for the Automated Control of Pharmaceutical Unit Operations

    … fluid bed control systems have either used first principle calculations to control the internal process environment or purely empirical methods that incorporate online process measurements with process models. This dissertation was predicated on the development of a novel hybrid control …

    duquesne Repository record for Application of First Principle Modeling in Combination with Empirical Design of Experiments and Real-Time Data Management for the Automated Control of Pharmaceutical Unit Operations (opens in a new tab)

  4. Magnetic Signature Estimation Using Neural Networks

    … as the magnetic signature. As a precursor to first principle modeling of the phenomenon and a proof of concept, the goal of this research is to predict offboard magnetic signatures from on-board sensor data using a neural network. This allows magnetic signature analysis in applications where …

    temple Repository record for Magnetic Signature Estimation Using Neural Networks (opens in a new tab)