Work

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

Year: 2019

Type: article

Source: Chemical Engineering Journal

DOI: 10.1016/j.cej.2019.123412

Authors: Pascal Neumann, Liwei Cao, Danilo Russo, Vassilios S. Vassiliadis, Alexei A. Lapkin

Institutions: University of Cambridge, RWTH Aachen University, The Cambridge Centre for Advanced Research and Education in Singapore

Language: English

Topic: Control Systems and Identification

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: University of Cambridge, Engineering and Physical Sciences Research Council

Awards: G4136396691, Combining Chemical Robotics and Statistical Methods to Discover Complex Functional Products

OpenAlex ID: W2987724672

FWCI: 2.216

Cites: 50

Cited by: 66

Related to: 10