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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 …
Solid-state NMR spectroscopy
Solid-state nuclear magnetic resonance (NMR) spectroscopy is an atomic-level method to
determine the chemical structure, 3D structure and dynamics of solids and semi-solids. This …
determine the chemical structure, 3D structure and dynamics of solids and semi-solids. This …
Chemical shifts in molecular solids by machine learning
Due to their strong dependence on local atonic environments, NMR chemical shifts are
among the most powerful tools for strucutre elucidation of powdered solids or amorphous …
among the most powerful tools for strucutre elucidation of powdered solids or amorphous …
NMR crystallography of molecular organics
P Hodgkinson - Progress in Nuclear Magnetic Resonance …, 2020 - Elsevier
Developments of NMR methodology to characterise the structures of molecular organic
structures are reviewed, concentrating on the previous decade of research in which density …
structures are reviewed, concentrating on the previous decade of research in which density …
Atomic-level structure determination of amorphous molecular solids by NMR
Abstract Structure determination of amorphous materials remains challenging, owing to the
disorder inherent to these materials. Nuclear magnetic resonance (NMR) powder …
disorder inherent to these materials. Nuclear magnetic resonance (NMR) powder …
A machine learning model of chemical shifts for chemically and structurally diverse molecular solids
Nuclear magnetic resonance (NMR) chemical shifts are a direct probe of local atomic
environments and can be used to determine the structure of solid materials. However, the …
environments and can be used to determine the structure of solid materials. However, the …
Structure determination of an amorphous drug through large-scale NMR predictions
Abstract Knowledge of the structure of amorphous solids can direct, for example, the
optimization of pharmaceutical formulations, but atomic-level structure determination in …
optimization of pharmaceutical formulations, but atomic-level structure determination in …
Atomic-resolution chemical characterization of (2x)72-kDa tryptophan synthase via four- and five-dimensional 1H-detected solid-state NMR
NMR chemical shifts provide detailed information on the chemical properties of molecules,
thereby complementing structural data from techniques like X-ray crystallography and …
thereby complementing structural data from techniques like X-ray crystallography and …
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 …
Predicting density functional theory-quality nuclear magnetic resonance chemical shifts via δ-machine learning
PA Unzueta, CS Greenwell… - Journal of Chemical …, 2021 - ACS Publications
First-principles prediction of nuclear magnetic resonance chemical shifts plays an
increasingly important role in the interpretation of experimental spectra, but the required …
increasingly important role in the interpretation of experimental spectra, but the required …