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KAIST researchers developed a novel ultra-low power memory for neuromorphic computing​

Researchers at KAIST have developed a novel ultra-low power memory device that can replace existing memory or be used in implementing neuromorphic computing. The new phase change memory device consumes 15 times less power than conventional devices, enabling the development of low-cost and energy-efficient artificial intelligence hardware.

New era of two-dimensional ferroelectrics

Researchers review emerging field of 2D ferroelectric materials with layered van-der-Waals crystal structures, offering new properties and functionalities not found in conventional materials. These materials show easily stackable nature, making them attractive as building blocks for post-Moore's law electronics.

SourceARC Centre of Excellence in Future Low-Energy Electronics Technologies·JournalNature Reviews Materials·TypeLiterature review·DateOct 27, 2022

Quantum materials cut closer than ever

Researchers at DTU have developed a new method for designing nanomaterials with unprecedented precision, allowing for the creation of compact and electrically tunable metalenses. This breakthrough enables the development of high-speed communication and biotechnology applications.

SourceTechnical University of Denmark·JournalACS Applied Materials & Interfaces·DateSep 13, 2021

Scientists release new AI-based tools to accelerate functional electronic materials discovery

Scientists developed new AI-based tools to identify and study materials exhibiting a metal-insulator transition (MIT), which could lead to faster and more energy-efficient microelectronic devices. The tools provide a freely available database, online classifier, and new features for characterizing these materials.

SourceNorthwestern University·JournalChemistry of Materials·TypeCommentary/editorial·DateJul 28, 2021