Themed collection 2018 MSDE Hot Articles
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Li- and Mn-rich layered oxide cathode materials for lithium-ion batteries: a review from fundamentals to research progress and applications
Li- and Mn-rich layered oxides (LMRO) have drawn much attention for application as cathode materials for lithium-ion batteries due to their high-energy density of over 1000 W h kg−1.
Mol. Syst. Des. Eng., 2018,3, 748-803
https://doi.org/10.1039/C8ME00025E
Molecular engineering of perovskite photodetectors: recent advances in materials and devices
We present an overview of the recent advances in perovskite photodetectors from both the materials and device perspectives.
Mol. Syst. Des. Eng., 2018,3, 702-716
https://doi.org/10.1039/C8ME00022K
![Open Access](https://www.rsc-cdn.org/pubs-core/2022.0.147/content/NewImages/open-access-icon-orange.png)
Can machine learning identify the next high-temperature superconductor? Examining extrapolation performance for materials discovery
Traditional machine learning (ML) metrics overestimate model performance for materials discovery.
Mol. Syst. Des. Eng., 2018,3, 819-825
https://doi.org/10.1039/C8ME00012C
![Open Access](https://www.rsc-cdn.org/pubs-core/2022.0.147/content/NewImages/open-access-icon-orange.png)
Catalytic single-chain polymeric nanoparticles at work: from ensemble towards single-particle kinetics
In this work, we present the design and preparation of catalytic single chain polymeric nanoparticles (SCPNs), their characterization at the ensemble level as well as our progress toward analyzing individual SCPNs with single-molecule fluorescence microscopy.
Mol. Syst. Des. Eng., 2018,3, 609-618
https://doi.org/10.1039/C8ME00017D
![Open Access](https://www.rsc-cdn.org/pubs-core/2022.0.147/content/NewImages/open-access-icon-orange.png)
Enabling precision manufacturing of active pharmaceutical ingredients: workflow for seeded cooling continuous crystallisations
Presentation and applied case study of a system-wide workflow which supports rapid, systematic and efficient continuous seeded cooling crystallisation process design, with the aim to deliver a robust, consistent process with tight control of particle attributes.
Mol. Syst. Des. Eng., 2018,3, 518-549
https://doi.org/10.1039/C7ME00096K
Deep learning for chemical reaction prediction
We describe a deep learning-based system for predicting chemical reactions and identifying experimentally-observed masses.
Mol. Syst. Des. Eng., 2018,3, 442-452
https://doi.org/10.1039/C7ME00107J
![Open Access](https://www.rsc-cdn.org/pubs-core/2022.0.147/content/NewImages/open-access-icon-orange.png)
A solution-processable dissymmetric porous organic cage
A dissymmetric, soluble, porous organic cage from a low-cost racemic precursor.
Mol. Syst. Des. Eng., 2018,3, 223-227
https://doi.org/10.1039/C7ME00090A
Cooperative effects of inorganic and organic structure-directing agents in ZSM-5 crystallization
A combination of bulk crystallization studies and molecular modelling are used to elucidate the role of dual inorganic/organic SDAs in ZSM-5 synthesis. Our findings reveal unexpected synergistic effects on crystallization times and physicochemical properties.
Mol. Syst. Des. Eng., 2018,3, 159-170
https://doi.org/10.1039/C7ME00097A