ChemSIE: From Document Based Records to Machine Actionable Experimental Data

Itamar Wallwater, Yonatan Harnik, Ari Pakman

Submission Type: I want my submission to be considered for both oral and poster presentation.

Keywords: Chemistry, AI, machine learning, Data reporting conventions

TL;DR: Large experimental data sources that can be untapped for future ML woek

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 212