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Found 3 papers, 2 papers with code
Molecule Generation and Optimization for Efficient Fragrance Creation
This research introduces a Machine Learning-centric approach to replicate olfactory experiences, validated through experimental quantification of perfume perception.
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach
The study successfully reconstructed sorption uptake kinetics using sparse and symbolic regression, and accurately predicted breakthrough curves using identified polynomials, highlighting the potential of the proposed framework for discovering sorption kinetic law structures.
A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem
Scientific machine learning (SciML) is a field of increasing interest in several different application fields.
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