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Extended tight‐binding quantum chemistry methods
This review covers a family of atomistic, mostly quantum chemistry (QC) based
semiempirical methods for the fast and reasonably accurate description of large molecules …
semiempirical methods for the fast and reasonably accurate description of large molecules …
Polymer photocatalysts for solar-to-chemical energy conversion
Solar-to-chemical energy conversion for the generation of high-energy chemicals is one of
the most viable solutions to the quest for sustainable energy resources. Although long …
the most viable solutions to the quest for sustainable energy resources. Although long …
Active Site Engineering in Reticular Covalent Organic Frameworks for Photocatalytic CO2 Reduction
Photochemical CO2 reduction using ubiquitous sunlight akin to natural photosynthesis is an
effective approach for conversion of renewable energy into useful chemical feedstock …
effective approach for conversion of renewable energy into useful chemical feedstock …
Autonomous discovery in the chemical sciences part I: Progress
This two‐part Review examines how automation has contributed to different aspects of
discovery in the chemical sciences. In this first part, we describe a classification for …
discovery in the chemical sciences. In this first part, we describe a classification for …
A graph representation of molecular ensembles for polymer property prediction
Synthetic polymers are versatile and widely used materials. Similar to small organic
molecules, a large chemical space of such materials is hypothetically accessible …
molecules, a large chemical space of such materials is hypothetically accessible …
A perspective on organic electrode materials and technologies for next generation batteries
In this perspective article, we review some of the most recent advances in the emerging field
of organic materials as the electroactive component in solid electrodes for batteries. These …
of organic materials as the electroactive component in solid electrodes for batteries. These …
Multitask Neural Network for Map** the Glass Transition and Melting Temperature Space of Homo- and Co-Polyhydroxyalkanoates Using σProfiles Molecular …
Polyhydroxyalkanoates (PHAs) are an emerging type of bioplastic that have the potential to
replace petroleum-based plastics. They are biosynthetizable, biodegradable, and …
replace petroleum-based plastics. They are biosynthetizable, biodegradable, and …
[HTML][HTML] Message-passing neural networks for high-throughput polymer screening
Machine learning methods have shown promise in predicting molecular properties, and
given sufficient training data, machine learning approaches can enable rapid high …
given sufficient training data, machine learning approaches can enable rapid high …
[HTML][HTML] Artificial intelligence driven in-silico discovery of novel organic lithium-ion battery cathodes
Organic electrode materials (OEMs) combine key sustainability and versatility properties
with the potential to enable the realisation of the next generation of truly green battery …
with the potential to enable the realisation of the next generation of truly green battery …
Electronic, redox, and optical property prediction of organic π-conjugated molecules through a hierarchy of machine learning approaches
Accelerating the development of π-conjugated molecules for applications such as energy
generation and storage, catalysis, sensing, pharmaceuticals, and (semi) conducting …
generation and storage, catalysis, sensing, pharmaceuticals, and (semi) conducting …