AI Medical Compendium Journal:
Chemical science

Showing 11 to 20 of 55 articles

Multi-scale approach for the prediction of atomic scale properties.

Chemical science
Electronic nearsightedness is one of the fundamental principles that governs the behavior of condensed matter and supports its description in terms of local entities such as chemical bonds. Locality also underlies the tremendous success of machine-le...

BonDNet: a graph neural network for the prediction of bond dissociation energies for charged molecules.

Chemical science
A broad collection of technologies, including drug metabolism, biofuel combustion, photochemical decontamination of water, and interfacial passivation in energy production/storage systems rely on chemical processes that involve bond-breaking molecul...

One class classification as a practical approach for accelerating π-π co-crystal discovery.

Chemical science
The implementation of machine learning models has brought major changes in the decision-making process for materials design. One matter of concern for the data-driven approaches is the lack of negative data from unsuccessful synthetic attempts, which...

Evaluating and clustering retrosynthesis pathways with learned strategy.

Chemical science
With recent advances in the computer-aided synthesis planning (CASP) powered by data science and machine learning, modern CASP programs can rapidly identify thousands of potential pathways for a given target molecule. However, the lack of a holistic ...

Ligand-protected gold/silver superatoms: current status and emerging trends.

Chemical science
Monolayer-protected gold/silver clusters have attracted much interest as nano-scale building units for novel functional materials owing to their nonbulk-like structures and size-specific properties. They can be viewed as ligand-protected superatoms b...

What can reaction databases teach us about Buchwald-Hartwig cross-couplings?

Chemical science
Despite the widespread and increasing usage of Pd-catalyzed C-N cross couplings, finding good conditions for these reactions can be challenging. Practitioners mostly rely on few methodology studies or anecdotal experience. This is surprising, since t...

Understanding the geometric diversity of inorganic and hybrid frameworks through structural coarse-graining.

Chemical science
Much of our understanding of complex structures is based on simplification: for example, metal-organic frameworks are often discussed in the context of "nodes" and "linkers", allowing for a qualitative comparison with simpler inorganic structures. He...

Fast predictions of liquid-phase acid-catalyzed reaction rates using molecular dynamics simulations and convolutional neural networks.

Chemical science
The rates of liquid-phase, acid-catalyzed reactions relevant to the upgrading of biomass into high-value chemicals are highly sensitive to solvent composition and identifying suitable solvent mixtures is theoretically and experimentally challenging. ...

Aggregation-induced photocatalytic activity and efficient photocatalytic hydrogen evolution of amphiphilic rhodamines in water.

Chemical science
The development of photocatalysts is an essential task for clean energy generation and establishing a sustainable society. This paper describes the aggregation-induced photocatalytic activity (AI-PCA) of amphiphilic rhodamines and photocatalytic func...

Digitising chemical synthesis in automated and robotic flow.

Chemical science
Continuous flow chemical synthesis is already known to have many attributes that give it superiority over batch processes in several respects. To expand these advantages with those from automation will only drive such enabling technologies further in...