Tan, Tian published the artcilePrediction of infinite-dilution activity coefficients with neural collaborative filtering, HPLC of Formula: 143-24-8, the main research area is prediction infinite dilution activity coefficient neural collaborative filtering.
Accurate prediction of infinite dilution activity coefficient (γ∞) for phase equilibrium and process design is crucial. In this work, an exptl. γ∞ dataset containing 295 solutes and 407 solvents (21,048 points) is obtained through data integrating, cleaning, and filtering. The dataset is arranged as a sparse matrix with solutes and solvents as columns and rows, resp. Neural collaborative filtering (NCF), a modern matrix completion technique based on deep learning, is proposed to fully fill in the γ∞ matrix. Ten-fold cross-validation is performed on the collected dataset to test the effectiveness of the proposed NCF, proving that NCF outperforms the state-of-the-art phys. model and previous machine learning model. The completed γ∞ matrix makes solvent screening and extension of UNIFAC parameters possible. Taking two typical hard-to-sep. systems (benzene/cyclohexane and Me cyclopentane/n-hexane mixtures) as examples, the NCF-developed database provides high-throughput screening for separation systems in terms of solvent selectivity and capacity.
AIChE Journal published new progress about Algorithm. 143-24-8 belongs to class ethers-buliding-blocks, name is 2,5,8,11,14-Pentaoxapentadecane, and the molecular formula is C10H22O5, HPLC of Formula: 143-24-8.
Referemce:
Ether – Wikipedia,
Ether | (C2H5)2O – PubChem