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Data Science for Design of Functional Materials

Description:

Functional electronic materials are difficult to design due to the complex interplay among chemistry, atomic structure, and electrical properties. This dilemma is further amplified in transition metal compounds which can defy the band-theory description of non-correlated electrons. Exploring the vast possible design space completely with experiments or first-principles simulations is...

Keyword:

Transition metal oxides, Metal-insulator transition, Machine learning, and Data science

Subject:

Materials Science

Creator:

Wagner, Nicholas Adam

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:14800 and etdadmin_upload_685025
Finding the Needle in the Haystack: Applying Data Science to Address Biological Questions

Description:

Biology is entering the exciting world of big data. Modern high-throughput experimental techniques often produce large datasets that aim to capture complex relationships often found in biological systems. While these larger data sets contain vast amounts of useful information, the answers are often locked behind a wall of numbers. As...

Keyword:

Machine learning and Data science

Subject:

Chemical and Biological Engineering

Creator:

Albert Xue

Owner:

Scholarly Digital Publishing

Date Uploaded:

10/28/2019

Date Modified:

10/28/2019

Date Created:

2018-01-01

Resource Type:

Dissertation

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Finding the Needle in the Haystack: Applying Data Science to Address Biological Questions

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