Work

Bayesian optimal experiment design for enhanced mineral weathering with gradient boosted decision trees

Year: 2026

Type: article

Source: Applied Soft Computing

DOI: 10.1016/j.asoc.2026.115780

Authors: Thomas Servotte, Iris Janssens, Jakob Raymaekers, Tim Verdonck

Institutions: University of Antwerp, KU Leuven, IMEC

Language: English

Topic: Optimal Experimental Design Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDGs: Climate action, Responsible consumption and production

Open Access status: closed

Funders: Horizon 2020 Framework Programme, HORIZON EUROPE Framework Programme

Award: G5938738984

OpenAlex ID: W7164934057

FWCI:

Cites: 14

Cited by:

Related to: 10