Literature DB >> 26883005

Computer-Aided Molecular Design of Bis-phosphine Oxide Lanthanide Extractants.

Billy W McCann1, Nuwan De Silva2, Theresa L Windus2, Mark S Gordon2, Bruce A Moyer1, Vyacheslav S Bryantsev1, Benjamin P Hay3.   

Abstract

Computer-aided molecular design and high-throughput screening of viable host architectures can significantly reduce the efforts in the design of novel ligands for efficient extraction of rare earth elements. This paper presents a computational approach to the deliberate design of bis-phosphine oxide host architectures that are structurally organized for complexation of trivalent lanthanides. Molecule building software, HostDesigner, was interfaced with molecular mechanics software, PCModel, providing a tool for generating and screening millions of potential R2(O)P-link-P(O)R2 ligand geometries. The molecular mechanics ranking of ligand structures is consistent with both the solution-phase free energies of complexation obtained with density functional theory and the performance of known bis-phosphine oxide extractants. For the case where the link is -CH2-, evaluation of the ligand geometry provides the first characterization of a steric origin for the "anomalous aryl strengthening" effect. The design approach has identified a number of novel bis-phosphine oxide ligands that are better organized for lanthanide complexation than previously studied examples.

Entities:  

Year:  2016        PMID: 26883005     DOI: 10.1021/acs.inorgchem.5b02995

Source DB:  PubMed          Journal:  Inorg Chem        ISSN: 0020-1669            Impact factor:   5.165


  3 in total

1.  Applied machine learning for predicting the lanthanide-ligand binding affinities.

Authors:  Suryanaman Chaube; Sriram Goverapet Srinivasan; Beena Rai
Journal:  Sci Rep       Date:  2020-08-31       Impact factor: 4.379

Review 2.  Unlocking the computational design of metal-organic cages.

Authors:  Andrew Tarzia; Kim E Jelfs
Journal:  Chem Commun (Camb)       Date:  2022-03-18       Impact factor: 6.222

3.  Complexation and bonding studies on [Ru(NO)(H2O)5]3+ with nitrate ions by using density functional theory calculation.

Authors:  Akane Kato; Masashi Kaneko; Satoru Nakashima
Journal:  RSC Adv       Date:  2020-06-26       Impact factor: 4.036

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.