Themed collection MSDE most-read Q1 2019

This review summarizes the recent achievements in the development of photonic functional materials based on cellulose nanocrystals (CNCs) and CNC templating. The unique self-assembly of CNCs into chiral nematic structures introduces photonic properties for the development of functional materials with application potential in photonic sensing, tunable reflectors or optoelectronics.

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.

We present an overview of the recent advances in perovskite photodetectors from both the materials and device perspectives.

Traditional machine learning (ML) metrics overestimate model performance for materials discovery.

A new, energy-based descriptor for porous materials is highly predictive for hydrogen adsorption using an interpretable regression model.

Electric field induced rotation of IRMOF linkers provides opportunities for controlling the diffusion of molecules for nanofluidic applications.

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.

Cationic polymers are promising delivery systems for RNAi due to their ease of manipulation, scale-up conditions and transfection efficiency.

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.

We describe a deep learning-based system for predicting chemical reactions and identifying experimentally-observed masses.