Advancing memory devices with high-entropy oxides
Researchers developed resistive random access memory using high-entropy oxides, advancing memory devices with improved performance, efficiency and reliability.
Nanotechnology Spotlight – Latest Articles
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Showing Spotlights 1 - 8 of 39 in category All (newest first):
Unlocking brain-like memory with photoferroelectric synapses
Researchers have created an artificial synapse device that displays plasticity and learning ability by merging a photoelectric perovskite material with an organic ferroelectric polymer. The advance offers a pathway to intelligent electronics and insights into the brain.
Achieving ultrahigh-density information storage with self-rolling ferroic oxide films
Discover how researchers use self-rolling ferroic oxide films to revolutionize data storage. This innovative method increases storage density by up to 45 times, potentially achieving ultrahigh-density information storage of 10 Tbit per square inch, paving the way for next-gen memory technology.
Boosting AI with optimized phase change memory
Phase change memory is an emerging technology with great potential for advancing analog in-memory computing, particularly in deep neural networks and neuromorphic computing.
Realization of 'silicon-like' doping in organic semiconductors
Organic semiconductors (OSCs) are a class of semiconductor materials consisting of conjugated molecules or polymers. Compared to inorganic semiconductors, OSCs have distinctive advantages including being solution-processable, suitable for low-cost and large-area fabrication of electronics, and applicable to flexible/stretchable electronics, among others. Given the importance of doping techniques for semiconductors, it is highly attractive to establish doping methodologies for OSCs similar to that for silicon. This would simplify the difficulty and cost of synthesizing different types of OSCs for various applications, as well as lead to interesting structures such as organic PN homojunctions.
Tech firms are making computer chips with human cells - is it ethical?
We are in the early stages of neural computing and have time to think through the ethical issues involved. Among other things, if neural computers become common, we will grapple with tissue donation issues. Scientists have found that human neurons were faster at learning than neurons from mice. Might there also be differences in performance depending on whose neurons are used? Might Apple and Google be able to make lightning-fast computers using neurons from our best and brightest today? Would someone be able to secure tissues from deceased genius's like Albert Einstein to make specialized limited-edition neural computers?
A ground-breaking modeling toolkit to predict current of new type of memory
Resistive-switching memory (RSM) is an emerging candidate for next-generation memory and computing devices, such as storage-class memory devices, multilevel memories and as a synapse in neuromorphic computing. A significant challenge in the global research efforts towards better energy technologies is efficient and accurate device modeling. Now, researchers have created a new modeling toolkit which can predict the current of a new type of memory with excellent accuracy.
The thinnest CD-RW
The bottleneck in atomic-scale data storage area may be broken by a simple technique, thanks to recent innovative studies. Through a simple, efficient and low-cost technique involving the focused laser beam and ozone treatment, researchers can manipulate the properties of nanomaterials, thereby 'writing' information onto monolayer materials. The result is a demonstration of the thinnest light disk with rewritable data storage and encryption functionalities at the atomic level.