| Title | Link | Summary/Notes |
| Computational gastronomy: capturing culinary creativity by making food computable | https://pmc.ncbi.nlm.nih.gov/articles/PMC11231233/pdf/41540_2024_Article_399.pdf | A good overview of the state of Computational Gastronomy circa 2024. Excellent references. |
| Using the disperse system formalism, DSF, to determine the first two classes of complex suspensions | https://icmpg.hub.inrae.fr/content/download/597/3422?version=2 | Author Hervé This is a well-known figure in Molecular and Physical Gastronomy. This paper shows how Molecular Gastronomists can veer into formalisms putting them in the computational realm. |
| A generative grammar of cooking | https://arxiv.org/pdf/2211.09059 | Explores how one can represent a recipe and how meaning is derived. To quote: “The culinary grammar consists of the flavor, lexicon, morphology, syntax, and semantics of cooking”. |
| Deep Learning Based Named Entity Recognition Models for Recipes | https://arxiv.org/pdf/2402.17447 | Named entity recognition is a foundational technique in Computational Gastronomy to turn unstructured recipes into structured Data. |
| Interoperable Traceability in Agrifood Supply Chains: Enhancing Transport Systems Through IoT Sensor Data, Blockchain, and DataSpace | https://www.researchgate.net/publication/392189977_Interoperable_Traceability_in_Agrifood_Supply_Chains_Enhancing_Transport_Systems_Through_IoT_Sensor_Data_Blockchain_and_DataSpace | Computational gastronomy intersects the real world in the form of sensors and other supply chain generated data. How does one ensure this data is trustworthy through interchange? |
| Flavor network and the principles of food pairing | https://pmc.ncbi.nlm.nih.gov/articles/PMC3240947/pdf/srep00196.pdf | Explores the flavor pairing hypothesis – how do dishes in various cuisines combine flavors? |