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Engineers are using porous organic networks carrying fixed electrical charges to speed up lithium ions and stop dangerous short circuits in solid-state batteries.
A deep learning model called BattleNet predicts battery discharge speeds from manufacturing data and designs tailor-made electrodes in minutes.
Scientists have shown that a single lab-made molecule can hold quantum data and link directly to light at deep-freeze temperatures.
By squeezing reactions inside tiny crystal pores and flooding them with carbon monoxide, researchers coaxed solid zeolite catalysts to build primary and secondary carboxylic acids.
Machine-learning models and frozen tests reveal that lithium ions cluster together rather than travelling as lone particles in battery liquids.
A computer modelling study shows that placing electrical charges on hollow organic cages creates oriented electric fields that speed up chemical reactions up to 100-fold.
Researchers reviewing transient food packaging describe how adding tiny nanomaterials to natural polymers can block spoilage and later trigger the wrapper to safely dissolve away.
Engineers built an artificial stochastic spiking neuron from 2D crystals that retains a brief memory of previous firing events, helping neural networks filter out heavy background noise.
Scientists have shown that patterns inside an engineered magnetic material can behave like distinct, interacting life-like creatures. The team proved these magnetic creatures can coexist in physical hardware without needing biological cells or computer code.
A critical review reveals that shrinking battery anodes into zero-dimensional specks allows them to breathe and expand evenly during charging, preventing the structural cracks that wreck normal electrodes.