scholarly journals Breaking the polar-nonpolar division in solvation free energy prediction

2017 ◽  
Vol 39 (4) ◽  
pp. 217-233 ◽  
Author(s):  
Bao Wang ◽  
Chengzhang Wang ◽  
Kedi Wu ◽  
Guo-Wei Wei
Keyword(s):  
Free Energy ◽  
Solvation Free Energy ◽  
Energy Prediction

scholarly journals Solvation Free Energy Prediction from Pairwise Atomistic Interactions by Machine Learning

2021 ◽  
Author(s):  
Hyuntae Lim ◽  
YounJoon Jung
Keyword(s):  
Machine Learning ◽  
Free Energy ◽  
Chemical Properties ◽  
Solvation Energy ◽  
Solvation Free Energy ◽  
Learning Technologies ◽  
Training Data ◽  
Inner Product ◽  
Structure Property ◽  
Energy Prediction

Abstract Recent advances in machine learning technologies and their applications have led to the development of diverse structure-property relationship models for crucial chemical properties. The solvation free energy is one of them. Here, we introduce a novel ML-based solvation model, which calculates the solvation energy from pairwise atomistic interactions. The novelty of the proposed model consists of a simple architecture: two encoding functions extract atomic feature vectors from the given chemical structure, while the inner product between the two atomistic features calculates their interactions. The results of 6,493 experimental measurements achieve outstanding performance and transferability for enlarging training data owing to its solvent-non-specific nature. An analysis of the interaction map shows that our model has significant potential for producing group contributions on the solvation energy, which indicates that the model provides provides not only predictions of target properties but also more detailed physicochemical insights.

scholarly journals Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery

2021 ◽  
Author(s):  
Peiyuan Gao ◽  
Xiu Yang ◽  
Yuhang Tang ◽  
Muqing Zheng ◽  
Amity Andersen ◽  
...  
Keyword(s):  
Free Energy ◽  
Organic Molecules ◽  
Equilibrium Constants ◽  
Gaussian Process Regression ◽  
Solvation Free Energy ◽  
Emergent Properties ◽  
Redox Potentials ◽  
Energy Prediction ◽  
Aqueous Solvation ◽  
Graphical Gaussian

The solvation free energy of organic molecules is a critical parameter in determining emergent properties such as solubility, liquid-phase equilibrium constants, and pKa and redox potentials in an organic redox...

scholarly journals MLSolvA: solvation free energy prediction from pairwise atomistic interactions by machine learning

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Hyuntae Lim ◽  
YounJoon Jung
Keyword(s):  
Machine Learning ◽  
Free Energy ◽  
Solvation Energy ◽  
Solvation Free Energy ◽  
Learning Technologies ◽  
Training Data ◽  
Inner Product ◽  
Structure Property ◽  
Energy Prediction ◽  
Feature Vectors

AbstractRecent advances in machine learning technologies and their applications have led to the development of diverse structure–property relationship models for crucial chemical properties. The solvation free energy is one of them. Here, we introduce a novel ML-based solvation model, which calculates the solvation energy from pairwise atomistic interactions. The novelty of the proposed model consists of a simple architecture: two encoding functions extract atomic feature vectors from the given chemical structure, while the inner product between the two atomistic feature vectors calculates their interactions. The results of 6239 experimental measurements achieve outstanding performance and transferability for enlarging training data owing to its solvent-non-specific nature. An analysis of the interaction map shows that our model has significant potential for producing group contributions on the solvation energy, which indicates that the model provides not only predictions of target properties but also more detailed physicochemical insights.

To the fast calculation of the solvation free energy. Combining expanded ensembles with L2MC

2021 ◽  
Vol 42 (11) ◽  
pp. 787-792
Author(s):  
Alexei Nikitin ◽  
Vladislava Milchevskaya ◽  
Alexander Lyubartsev
Keyword(s):  
Free Energy ◽  
Solvation Free Energy ◽  
Fast Calculation

scholarly journals Application of reference-modified density functional theory: Temperature and pressure dependences of solvation free energy

2017 ◽  
Vol 39 (4) ◽  
pp. 202-217 ◽  
Author(s):  
Tomonari Sumi ◽  
Yutaka Maruyama ◽  
Ayori Mitsutake ◽  
Kenji Mochizuki ◽  
Kenichiro Koga
Keyword(s):  
Density Functional Theory ◽  
Free Energy ◽  
Density Functional ◽  
Solvation Free Energy ◽  
Functional Theory ◽  
Temperature And Pressure
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