An understanding of the growth of the microbiota in soil is of great importance for the health of farms. This research introduces a new method, PINNs, which captures the intricate relationships between soil inhabitants and newly introduced species. PINNs are more accurate than traditional methods and, when combined with parallel computation, achieve excellent results. This approach promises to improve microbial growth predictions, leading to a deeper understanding of soil health and function.

Solving Soil Microbiota Growth Problem by PINNs / Cuomo, S.; Cerciello, D.; Piccialli, F.; Vocca, V.. - 15580:(2025), pp. 249-260. (Intervento presentato al convegno 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024 tenutosi a cze nel 2024) [10.1007/978-3-031-85700-3_18].

Solving Soil Microbiota Growth Problem by PINNs

Cuomo S.;Cerciello D.;Piccialli F.;Vocca V.
2025

Abstract

An understanding of the growth of the microbiota in soil is of great importance for the health of farms. This research introduces a new method, PINNs, which captures the intricate relationships between soil inhabitants and newly introduced species. PINNs are more accurate than traditional methods and, when combined with parallel computation, achieve excellent results. This approach promises to improve microbial growth predictions, leading to a deeper understanding of soil health and function.
2025
9783031856990
9783031857003
Solving Soil Microbiota Growth Problem by PINNs / Cuomo, S.; Cerciello, D.; Piccialli, F.; Vocca, V.. - 15580:(2025), pp. 249-260. (Intervento presentato al convegno 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024 tenutosi a cze nel 2024) [10.1007/978-3-031-85700-3_18].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1017232
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