Results 1 to 10 of about 167,109 (160)
Aromatic‐Carbonyl Interactions as an Emerging Type of Non‐Covalent Interactions
Aromatic‐carbonyl (Ar···C═O) interactions, attractive interactions between the arene plane and the carbon atom of carbonyl, are in the infancy as one type of new supramolecular bonding forces.
Chaowei Yin +4 more
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Non-Covalent Interactions in Polymers. [PDF]
Non-covalent interactions are one of the key topics in modern chemical science. These inter- and intramolecular weak interactions (e.g., hydrogen, halogen, and chalcogen bonds, stacking interactions and metallophilic contacts) have a significant effect on the properties of polymers.
Novikov AS.
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Small Molecules, Non-Covalent Interactions, and Confinement [PDF]
This review gives an overview of current trends in the investigation of small guest molecules, confined in neat and functionalized mesoporous silica materials by a combination of solid-state NMR and relaxometry with other physico-chemical techniques. The
Gerd Buntkowsky, Michael Vogel
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Theoretical Investigation on Non-Covalent Interactions [PDF]
This editorial is dedicated to announcing the Special Issue “Theoretical investigation on non-covalent interactions” of Crystals. The Special Issue covers the most recent progress in the rapidly growing fields of data science, artificial intelligence ...
Alexander S. Novikov
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Non-Covalent Interactions in Coordination Chemistry
Non-covalent interactions [...]
Alexey S. Kubasov, Varvara V. Avdeeva
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Effect of Non-Covalent Interactions on Arabinoxylan–Protein Cross-Linking and Gluten-Free Batter Stability [PDF]
Maize arabinoxylans (AX) and proteins (maize gluten meal, MGM) can partially replace gluten in gluten-free (GF) breads by forming polymer networks. This study investigated how non-covalent interactions (hydrophobic, electrostatic, or hydrogen (H) forces)
Ulrich Sukop +8 more
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Nested non-covalent interactions expand the functions of supramolecular polymer networks [PDF]
Supramolecular polymer networks contain non-covalent cross-links that enable access to broadly tunable mechanical properties and stimuli-responsive behaviors; the incorporation of multiple unique non-covalent cross-links within such materials further ...
David J. Lundberg +8 more
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Molecular geometric deep learning
Summary: Molecular representation learning plays an important role in molecular property prediction. Existing molecular property prediction models rely on the de facto standard of covalent-bond-based molecular graphs for representing molecular topology ...
Cong Shen, Jiawei Luo, Kelin Xia
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Smart polymer hydrogels are soft materials formed by crosslinking with various covalent and non-covalent interactions [...]
Wei Ji
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Large Stabilization Effects by Intramolecular Beryllium Bonds in Ortho-Benzene Derivatives
Intramolecular interactions are shown to be key for favoring a given structure in systems with a variety of conformers. In ortho-substituted benzene derivatives including a beryllium moiety, beryllium bonds provide very large stabilizations with respect ...
Tsai I-Ting +4 more
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