<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Rodriguez-Segundo R</submitter><funding>Ministry of Economy, Industry and Competitiveness</funding><funding>Ministerio de ciencia e innovacion, Spain</funding><funding>European Cooperation in Science and Technology</funding><pagination>1654</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8924895</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>27(5)</volume><pubmed_abstract>Dissolved ions in aqueous media are ubiquitous in many physicochemical processes, with a direct impact on research fields, such as chemistry, climate, biology, and industry. Ions play a crucial role in the structure of the surrounding network of water molecules as they can either weaken or strengthen it. Gaining a thorough understanding of the underlying forces from small clusters to bulk solutions is still challenging, which motivates further investigations. Through a systematic analysis of the interaction energies obtained from high-level electronic structure methodologies, we assessed various dispersion-corrected density functional approaches, as well as ab initio-based data-driven potential models for halide ion-water clusters. We introduced an active learning scheme to automate the ge</pubmed_abstract><journal>Molecules (Basel, Switzerland)</journal><pubmed_title>A Benchmark Protocol for DFT Approaches and Data-Driven Models for Halide-Water Clusters.</pubmed_title><pmcid>PMC8924895</pmcid><funding_grant_id>FIS2017-83157-P</funding_grant_id><funding_grant_id>PID2020-114654GD-I00</funding_grant_id><funding_grant_id>Cost action: CA18212(MD-GAS)</funding_grant_id><funding_grant_id>IND2017/AMB-7696</funding_grant_id><pubmed_authors>Prosmiti R</pubmed_authors><pubmed_authors>Rodriguez-Segundo R</pubmed_authors><pubmed_authors>Arismendi-Arrieta DJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>A Benchmark Protocol for DFT Approaches and Data-Driven Models for Halide-Water Clusters.</name><description>Dissolved ions in aqueous media are ubiquitous in many physicochemical processes, with a direct impact on research fields, such as chemistry, climate, biology, and industry. Ions play a crucial role in the structure of the surrounding network of water molecules as they can either weaken or strengthen it. Gaining a thorough understanding of the underlying forces from small clusters to bulk solutions is still challenging, which motivates further investigations. Through a systematic analysis of the interaction energies obtained from high-level electronic structure methodologies, we assessed various dispersion-corrected density functional approaches, as well as ab initio-based data-driven potential models for halide ion-water clusters. We introduced an active learning scheme to automate the ge</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Mar</publication><modification>2025-04-19T00:51:42.878Z</modification><creation>2025-04-07T11:45:45.745Z</creation></dates><accession>S-EPMC8924895</accession><cross_references><pubmed>35268757</pubmed><doi>10.3390/molecules27051654</doi></cross_references></HashMap>