Porous crystalline materials for memories and neuromorphic computing systems

G Ding, JY Zhao, K Zhou, Q Zheng, ST Han… - Chemical Society …, 2023 - pubs.rsc.org
Porous crystalline materials usually include metal–organic frameworks (MOFs), covalent
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …

Volatile and nonvolatile memristive devices for neuromorphic computing

G Zhou, Z Wang, B Sun, F Zhou, L Sun… - Advanced Electronic …, 2022 - Wiley Online Library
Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …

Binary metal oxide-based resistive switching memory devices: A status review

AR Patil, TD Dongale, RK Kamat, KY Rajpure - Materials Today …, 2023 - Elsevier
Semiconductor memories are essential ingredients of modern electronic devices. Resistive
Random-Access Memories (RRAMs) have emerged as better alternatives for conventional …

Novel charm of 2D materials engineering in memristor: when electronics encounter layered morphology

S Batool, M Idrees, SR Zhang, ST Han, Y Zhou - Nanoscale Horizons, 2022 - pubs.rsc.org
The family of two-dimensional (2D) materials composed of atomically thin layers connected
via van der Waals interactions has attracted much curiosity due to a variety of intriguing …

Versatile memristor for memory and neuromorphic computing

T Guo, K Pan, Y Jiao, B Sun, C Du, JP Mills… - Nanoscale …, 2022 - pubs.rsc.org
The memristor is a promising candidate to implement high-density memory and
neuromorphic computing. Based on the characteristic retention time, memristors are …

From spintronic memristors to quantum computing

J Qin, B Sun, G Zhou, T Guo, Y Chen, C Ke… - ACS Materials …, 2023 - ACS Publications
The high-speed development of the Internet of Things and artificial intelligence is
revolutionizing the world in terms of industrial production, environmental protection, medical …

HfO2-based resistive switching memory devices for neuromorphic computing

S Brivio, S Spiga, D Ielmini - Neuromorphic Computing and …, 2022 - iopscience.iop.org
HfO 2-based resistive switching memory (RRAM) combines several outstanding properties,
such as high scalability, fast switching speed, low power, compatibility with complementary …

From fundamentals to frontiers: a review of memristor mechanisms, modeling and emerging applications

P Thakkar, J Gosai, HJ Gogoi, A Solanki - Journal of Materials …, 2024 - pubs.rsc.org
The escalating demand for artificial intelligence (AI), the internet of things (IoTs), and energy-
efficient high-volume data processing has brought the need for innovative solutions to the …

Unraveling the origin of ferroelectric resistance switching through the interfacial engineering of layered ferroelectric-metal junctions

F Xue, X He, Y Ma, D Zheng, C Zhang, LJ Li… - Nature …, 2021 - nature.com
Ferroelectric memristors have found extensive applications as a type of nonvolatile
resistance switching memories in information storage, neuromorphic computing, and image …

Prospects and applications of volatile memristors

D Kim, B Jeon, Y Lee, D Kim, Y Cho, S Kim - Applied Physics Letters, 2022 - pubs.aip.org
Since research on artificial intelligence has begun receiving much attention, interest in
efficient hardware that can process a complex and large amount of information has also …