Work

Artificial Intelligence for Food Innovation

Year: 2025

Type: preprint

Source: arXiv (Cornell University)

Authors: Datta, Bianca, Buehler, Markus J., Chow, Yvonne, Gligoric, Kristina, Jurafsky, Dan, Kaplan, David L., Ledesma-Amaro, Rodrigo, Del Missier, Giorgia, Neidhardt, Lisa, Pichara, Karim, Sanchez-Lengeling, Benjamin, Schlangen, Miek, Pierre, Skyler R. St., Tagkopoulos, Ilias, Thomas, Anna, Watson, Nicholas J., Kuhl, Ellen

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDGs: Zero hunger, Responsible consumption and production

Open Access status: green

Funders: National Science Foundation, U.S. Department of Agriculture, Novo Nordisk, Directorate for Biological Sciences, Biotechnology and Biological Sciences Research Council, Division of Civil, Mechanical and Manufacturing Innovation

Awards: NAPIC: National Alternative Protein Innovation Centre, Automated Model Discovery for Soft Matter, G6835881641, Engineering Biology Hub for Microbial Food

OpenAlex ID: W7083844546

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