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Aaron Hollas

2 papers hereh-index 131.4k citations39 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci1
  • cs.CE1

identity via Semantic Scholar / OpenAlex

most citedPredicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations

83 citations · 106 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CE2021★ 23 cited

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

Peiyuan Gao, Xiu Yang, Yu-Hang Tang +5

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…

cond-mat.mtrl-sci2021★ 83 cited

Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations

Gihan Panapitiya, Michael Girard, Aaron Hollas +3

Determining the aqueous solubility of molecules is a vital step in many pharmaceutical, environmental, and energy storage applications. Despite efforts made over decades, there are…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.