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Filtering by: Type Work Keyword Density functional theory Keyword Machine learning Resource type Dissertation Subject Materials Science and Engineering

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1. Materials Discovery for Water Splitting Applications Using First-Principles Calculations and Machine Learning

Description:: Moving away from fossil fuels requires environmentally friendly and economically viable alternative energy sources. A wide adoption of new technologies for energy production and storage depends on better performing materials. Computational methods, such as electronic structure calculations and machine learning, hold the promise to work in conjunction with traditional experimentation...
Keyword:: Perovskites, Hydrogen production, Water splitting, Density functional theory, Materials discovery, and Machine learning
Subject:: Materials Science and Engineering
Creator:: Antoine Alexandre Emery
Owner:: Scholarly Digital Publishing
Date Uploaded:: 10/22/2018
Date Modified:: 10/22/2018
Date Created:: 2017-01-01
Resource Type:: Dissertation

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1. Materials Discovery for Water Splitting Applications Using First-Principles Calculations and Machine Learning