Extended tight‐binding quantum chemistry methods

C Bannwarth, E Caldeweyher, S Ehlert… - Wiley …, 2021 - Wiley Online Library
This review covers a family of atomistic, mostly quantum chemistry (QC) based
semiempirical methods for the fast and reasonably accurate description of large molecules …

Polymer photocatalysts for solar-to-chemical energy conversion

T Banerjee, F Podjaski, J Kröger, BP Biswal… - Nature Reviews …, 2021 - nature.com
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 …

Active Site Engineering in Reticular Covalent Organic Frameworks for Photocatalytic CO2 Reduction

BB Rath, S Krause, BV Lotsch - Advanced Functional Materials, 2024 - Wiley Online Library
Photochemical CO2 reduction using ubiquitous sunlight akin to natural photosynthesis is an
effective approach for conversion of renewable energy into useful chemical feedstock …

Autonomous discovery in the chemical sciences part I: Progress

CW Coley, NS Eyke, KF Jensen - … Chemie International Edition, 2020 - Wiley Online Library
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 …

A graph representation of molecular ensembles for polymer property prediction

M Aldeghi, CW Coley - Chemical Science, 2022 - pubs.rsc.org
Synthetic polymers are versatile and widely used materials. Similar to small organic
molecules, a large chemical space of such materials is hypothetically accessible …

A perspective on organic electrode materials and technologies for next generation batteries

B Esser, F Dolhem, M Becuwe, P Poizot, A Vlad… - Journal of Power …, 2021 - Elsevier
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 …

Multitask Neural Network for Map** the Glass Transition and Melting Temperature Space of Homo- and Co-Polyhydroxyalkanoates Using σProfiles Molecular …

A Boublia, T Lemaoui, J AlYammahi… - ACS Sustainable …, 2022 - ACS Publications
Polyhydroxyalkanoates (PHAs) are an emerging type of bioplastic that have the potential to
replace petroleum-based plastics. They are biosynthetizable, biodegradable, and …

[HTML][HTML] Message-passing neural networks for high-throughput polymer screening

PC St John, C Phillips, TW Kemper… - The Journal of …, 2019 - pubs.aip.org
Machine learning methods have shown promise in predicting molecular properties, and
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

RP Carvalho, CFN Marchiori, D Brandell… - Energy storage …, 2022 - Elsevier
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 …

Electronic, redox, and optical property prediction of organic π-conjugated molecules through a hierarchy of machine learning approaches

V Bhat, P Sornberger, BSS Pokuri, R Duke… - Chemical …, 2023 - pubs.rsc.org
Accelerating the development of π-conjugated molecules for applications such as energy
generation and storage, catalysis, sensing, pharmaceuticals, and (semi) conducting …