Modeling polymorphic molecular crystals with electronic structure theory
GJO Beran - Chemical reviews, 2016 - ACS Publications
Interest in molecular crystals has grown thanks to their relevance to pharmaceuticals,
organic semiconductor materials, foods, and many other applications. Electronic structure …
organic semiconductor materials, foods, and many other applications. Electronic structure …
Frontiers of molecular crystal structure prediction for pharmaceuticals and functional organic materials
GJO Beran - Chemical Science, 2023 - pubs.rsc.org
The reliability of organic molecular crystal structure prediction has improved tremendously in
recent years. Crystal structure predictions for small, mostly rigid molecules are quickly …
recent years. Crystal structure predictions for small, mostly rigid molecules are quickly …
Polymorphism in pharmaceutical solids
HG Brittain - Drugs and the pharmaceutical sciences, 1999 - api.taylorfrancis.com
It is now just about 10 years since the publication of the first edition of Polymorphism in
Pharmaceutical Solids, which certainly received a positive reaction from workers in drug …
Pharmaceutical Solids, which certainly received a positive reaction from workers in drug …
[PDF][PDF] A third blind test of crystal structure prediction
GM Day, WDS Motherwell, HL Ammon… - … Section B: Structural …, 2005 - journals.iucr.org
Following the interest generated by two previous blind tests of crystal structure prediction
(CSP1999 and CSP2001), a third such collaborative project (CSP2004) was hosted by the …
(CSP1999 and CSP2001), a third such collaborative project (CSP2004) was hosted by the …
Significant progress in predicting the crystal structures of small organic molecules–a report on the fourth blind test
We report on the organization and outcome of the fourth blind test of crystal structure
prediction, an international collaborative project organized to evaluate the present state in …
prediction, an international collaborative project organized to evaluate the present state in …
Data-efficient machine learning for molecular crystal structure prediction
The combination of modern machine learning (ML) approaches with high-quality data from
quantum mechanical (QM) calculations can yield models with an unrivalled accuracy/cost …
quantum mechanical (QM) calculations can yield models with an unrivalled accuracy/cost …
Controlling anisotropic properties by manipulating the orientation of chiral small molecules
Chiral π-conjugated molecules bring new functionality to technological applications and
represent an exciting, rapidly expanding area of research. Their functional properties, such …
represent an exciting, rapidly expanding area of research. Their functional properties, such …
Modelling organic crystal structures using distributed multipole and polarizability-based model intermolecular potentials
SL Price, M Leslie, GWA Welch, M Habgood… - Physical Chemistry …, 2010 - pubs.rsc.org
Crystal structure prediction for organic molecules requires both the fast assessment of
thousands to millions of crystal structures and the greatest possible accuracy in their relative …
thousands to millions of crystal structures and the greatest possible accuracy in their relative …
Emergent properties of an organic semiconductor driven by its molecular chirality
Chiral molecules exist as pairs of nonsuperimposable mirror images; a fundamental
symmetry property vastly underexplored in organic electronic devices. Here, we show that …
symmetry property vastly underexplored in organic electronic devices. Here, we show that …
Machine learning accelerates quantum mechanics predictions of molecular crystals
Quantum mechanics (QM) approaches (DFT, MP2, CCSD (T), etc.) play an important role in
calculating molecules and crystals with a high accuracy and acceptable efficiency. In recent …
calculating molecules and crystals with a high accuracy and acceptable efficiency. In recent …