Work

RAISE: a self-driving laboratory for interfacial property formulation discovery

Year: 2026

Type: article

Abstract: RAISE is the first autonomous closed-loop system linking formulations to surface wettability to discover formulations from user-defined goals.

Source: Digital Discovery

DOI: 10.1039/d5dd00531k

Authors: Mohammad Nazeri, Sheldon Mei, Jeffrey Watchorn, Alex Zhang, Erin Ng, Tao Wen, Abhijoy Mandal, Kevin Golovin, Alán Aspuru-Guzik, Frank Gu

Institutions: University of Toronto, Vector Institute

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: diamond

Funders: Canada Foundation for Innovation, University of Toronto, Canada First Research Excellence Fund, Natural Sciences and Engineering Research Council of Canada

Awards: G1086974076, G397280496, G6067990007, G6114178922, G6168044780, G7774301943, G795412033, G8079021327, G832689143, Acceleration Consortium: Self-Driving Labs for Molecular and Materials Discovery

OpenAlex ID: W7143499030

FWCI: 3.721

Cites: 57

Cited by: 3

Related to: 10