Work

A novel physics-informed neural networks approach (PINN-MT) to solve mass transfer in plant cells during drying

Year: 2023

Type: article

Source: Biosystems Engineering

DOI: 10.1016/j.biosystemseng.2023.04.012

Authors: Chanaka P. Batuwatta-Gamage, Charith Rathnayaka, Helambage C.P. Karunasena, Hyogu Jeong, Azharul Karim, Yuan Tong Gu

Institutions: Queensland University of Technology, University of the Sunshine Coast, University of Ruhuna

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: green

Funders: Queensland University of Technology, Australian Research Council

Awards: A Novel Multilevel Modelling Framework to Design Diamond Nanothread Bundles, Novel Multilevel Modelling Framework to Design Advanced Food Drying Process, A novel multiscale model to investigate mechanical properties of cartilage

OpenAlex ID: W4376138024

FWCI: 5.312

Cites: 75

Cited by: 53

Related to: 10