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Graph neural networks are machine learning models that directly access the structural representation of molecules and materials. This Review discusses state-of-the-art architectures and applications of graph neural networks in materials science and chemistry, indicating a possible road-map for their further development.
Inverted perovskite solar cells are promising for real-world energy harvesting, but suffer from issues with environmental stability. This Review discusses current understanding of stability in these devices and recent attempts to improve stability, as well as future directions that might enable their market roll-out.
Stable performance in solar cells is a key requirement for industrial success. Here, stability and degradation of perovskite solar cells are discussed within the context of the International Electrotechnical Commission’s standards for commercialized solar cells.
Hall effect measurements are often used to identify chiral spin textures in materials through the topological Hall effect, but similar Hall signals can arise due to sample inhomogeneity or experimental issues. Here, SrRuO3 is used as a model system to discuss the ambiguity in Hall signals, questioning the reliability of Hall effect measurements as evidence of chiral spin textures.
Plasmon-enhanced photocatalysis allows for enhanced reaction kinetics and selectivity. Here, the importance of hot holes in plasmonic catalysis is discussed, with a focus on their efficient extraction via different nano-heterointerfaces.
Carbon dots are suitable for a range of biological applications due to their unique physicochemical properties and biological behavior. This Review summarizes research related to the emerging field of red-emissive two-photon carbon dots for bioimaging, biosensing, and phototherapeutic applications.
Quantum materials host many exotic properties, which might be utilized for new electronic devices. Here, artificial intelligence for the discovery of quantum materials is discussed, covering both materials and property prediction, and high-throughput synthesis.
The COVID-19 pandemic has highlighted the importance of materials and coatings for antiviral surfaces. Here, a comprehensive review is performed for natural and synthetic antiviral and virucidal materials, including a discussion of their underpinning mechanisms.
Magnesium-sulfur batteries offer several advantages compared to lithium-sulfur batteries, including a more stable anode and lower material costs. Here, the challenges and prospects for both classes of batteries are discussed, including their outlook for practical energy and cost levels.
The current surge in data generation necessitates devices that can store and analyze data in an energy efficient way. This Review summarizes and discusses developments on the use of spintronic devices for energy-efficient data storage and logic applications, and energy harvesting based on spin.