📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A new formulation for symbolic regression to identify physico-chemical laws from experimental data (2020)

First Author: Neumann P

Attributed to: Combining Chemical Robotics and Statistical Methods to Discover Complex Functional Products funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.cej.2019.123412

Publication URI: http://dx.doi.org/10.1016/j.cej.2019.123412

Type: Journal Article/Review

Parent Publication: Chemical Engineering Journal