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DSW2018

Description

Investigation of a structural ceramics database (WebSCD) curated by the National Institute of Standards and Technology (NIST). 3-week project as part of the UC Berkeley Data Science workshop (DSW2018). WebSCD

Results at-a-glance

~4000 material entries Matminer was used to generate features based on composition.

Most represented mechanical properties: Elastic modulus, flexural strength, fracture toughness.

plot of most represented propeties

Data distribution for properties of interest:

  • Flexural strength

distribution

  • Fracture toughness

distribution

  • Elastic modulus

distribution

Random forest regression:

  • Flexural strength

prediction vs. actual curve

  • Fracture toughness

prediction vs. actual curve

  • Elastic modulus

prediction vs. actual curve

Important features:

  • Flexural strength

Important features

  • Fracture toughness

Important features

  • Elastic modulus

Important features

Team members

Prabudhya Bhattacharyya

Chris Bronner

Steve Drapcho

Chih-Hao Hsu

About

Community repo for the GDSO Data Science Workshop (https://gdso.berkeley.edu/dsw_2018.html).

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