Monolithic 3D integration of electronics based on fully 2D materials is demonstrated in the performance of artificial intelligence tasks.

Optically stimulated vibrational control for materials has the potential to improve the performance of optoelectronic devices. The vibrational control of FAPbBr₃ perovskite solar cells has been demonstrated, where the fast dynamics of coupling between cations and inorganic sublattice may suppress non-radiative recombinations in perovskites, leading to reduced voltage losses.

Early detection of electrical degradation in dielectric polymers is crucial but remains challenging. A general strategy of blending the polymer with chromogenic molecules is reported, which generates a visually discernible colour change as chemically activated by oxygen radicals generated in situ, indicating the early stage of electrical degradation in polymers.

Current physical neuromorphic computing faces critical challenges of how to reconfigure key physical dynamics of a system to adapt computational performance to match a diverse range of tasks. Here the authors present a task-adaptive approach to physical neuromorphic computing based on on-demand control of computing performance using various magnetic phases of chiral magnets.

Monolithic 3D integration of electronics based on fully 2D materials is demonstrated in the performance of artificial intelligence tasks.

Optically stimulated vibrational control for materials has the potential to improve the performance of optoelectronic devices. The vibrational control of FAPbBr₃ perovskite solar cells has been demonstrated, where the fast dynamics of coupling between cations and inorganic sublattice may suppress non-radiative recombinations in perovskites, leading to reduced voltage losses.

Early detection of electrical degradation in dielectric polymers is crucial but remains challenging. A general strategy of blending the polymer with chromogenic molecules is reported, which generates a visually discernible colour change as chemically activated by oxygen radicals generated in situ, indicating the early stage of electrical degradation in polymers.

Current physical neuromorphic computing faces critical challenges of how to reconfigure key physical dynamics of a system to adapt computational performance to match a diverse range of tasks. Here the authors present a task-adaptive approach to physical neuromorphic computing based on on-demand control of computing performance using various magnetic phases of chiral magnets.

Chemical adsorption of CO on open metal sites enables separation from other gases but leads to selectivity and stability issues. Quasi-open metal sites in metal–organic frameworks are proposed here, which are accessible only by CO-induced structural transformation, enabling CO separation to 9N purity.

Forces resulting from global cell volume expansion and local cell contractions distort the basement membrane of an in vitro three-dimensional model of breast cancer, to promote collective cell invasion that precedes metastasis.

Integrated design assisted by materials and technology innovations can help a transition from traditional to sustainable electronics.

Xiaodong Chen, a professor at Nanyang Technological University (School of Materials Science and Engineering), talks to Nature Materials about how innovations in materials science and technology are paving the way for a more sustainable future in electronics.

An essential part of developing organic mixed ionic–electronic conducting materials and organic electrochemical transistors is consistent and standardized reporting of the product of charge carrier mobility and volumetric capacitance, the μC* product. This Comment argues that unexpected changes in transistor channel resistance can overestimate this figure of merit, leading to a confusion of comparisons in the literature.

Overcoming the intrinsic brittleness of inorganic glasses and ceramics improves structural reliability under operation, while also increasing their competitiveness for flexible devices.

Peer review has long been established as the gold standard for scientific publishing, but changes in the publishing ecosystem should not influence author response to the views of their peers.

In multi-principal-element alloys the local chemical order is of increasing research interest for understanding their structures and correlation with properties, requiring systematic exploration with definitive and quantitative characterizations.