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The biointerface established by vertical nanoprobes—arrays of vertical high-aspect-ratio nanostructures—is a simple, controllable and powerful tool for interrogating and manipulating cells. The cover shows a colored electron microscopy image of a single cell on nanoneedles. See Roey Elnathan et al.
Image: Ciro Chiappini and Cong Wang. Cover design: Charlotte Gurr.
A group of scientists at Imperial College collaborated with The Blackett Lab Family, a collective of UK-based Black physicists, to host the UK’s first research school for Black physicists and engineers. Here they reflect on what they learnt and why we should all join in the mission to end inequality in academia.
Liquid metals are promising multifunctional materials, but their single-colour physical appearance limits their applicability. There are several methods to endow liquid metals with colour and fluorescence, and although breakthroughs have been made in controlling their optical and interfacial properties, more work is needed to refine the synthetic strategies, better understand the coloration effects and enable the applications of colourful liquid metals.
Hydrogels are one of the most promising materials to bridge the stark disparities between traditional machines and biological tissues for successful interfacing between humans and machines. This Review discusses the functional modes, design principles, and current and future applications of hydrogel interfaces for the merging of humans and machines.
Vertical nanoprobes are high-aspect-ratio nanomaterials used to manipulate and interrogate cells with high spatiotemporal resolution and limited perturbation. This Review discusses the design principles to establish effective nanoprobe biointerfaces for drug delivery, intracellular sampling and sensing, biophysical interaction and bioelectronics.
The introduction of topology into acoustic platforms enables robust sound control. This Review discusses the fundamental mechanisms, basic designs, practical realizations and promising future directions for topological acoustic systems.
Data-driven approaches based on high-throughput capabilities and machine learning hold promise in revolutionizing human-centred materials discovery for sustainability and decarbonization. This Review examines the strengths and limitations of different traditional and emerging approaches to demonstrate their inherent connection and highlight the evolving paradigms of materials design.