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Filtering by: Keyword Machine learning Subject Materials Science and Engineering

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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