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20222024
most citedA new Reinforcement Learning framework to discover natural flavor molecules

2 citations · 2 across the 6 of their papers we have counts for

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physics.chem-ph2023

PUFFIN: A Path-Unifying Feed-Forward Interfaced Network for Vapor Pressure Prediction

Vinicius Viena Santana, Carine Menezes Rebello, Luana P. Queiroz +3

Accurately predicting vapor pressure is vital for various industrial and environmental applications. However, obtaining accurate measurements for all compounds of interest is not p…

cs.CE2023

Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach

Vinicius V. Santana, Erbet Costa, Carine M. Rebello +3

This study presents a systematic machine learning approach for creating efficient hybrid models and discovering sorption uptake models in non-linear advection-diffusion-sorption sy…