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Machine learning is increasingly popular in materials science research. This Review generalizes learnings from applied machine learning in robotics and gameplaying and extends it to materials science. In particular, hybrid approaches combining model-based and data-driven models are seeding the transition from the application of machine learning to discrete tools and workflows towards emergent knowledge.
Clamping devices have been implemented in organ-on-a-chip systems to facilitate on-chip culture of complex biological models, the performance of various readouts and the selection of proper materials. In this Review, we highlight the current status of clamping technology, its benefits and future devices that promise a major impact in the organ-on-a-chip field.
Nucleic acids for gene silencing, expression and editing can precisely target disease at the molecular level but require effective delivery systems. This Review discusses the material and biological principles used to design delivery systems to target specific organs in the body.
Halide perovskite light-emitting diodes display excellent optoelectronic properties and are easy to fabricate. This Perspective article discusses the potential of perovskite emitters for the miniaturization of perovskite light-emitting diodes and provides a technical roadmap for the fabrication of microscale emitting devices.
This work provides an overview of stability in perovskite–Si tandem solar cells, elucidates key tandem-specific degradation mechanisms, considers economic factors for perovskite–Si tandem solar cells and outlines future research directions to achieve the long-term stability necessary for the commercialization of this promising technology.