Recent progress in energy, environment, and electronic applications of MXene nanomaterials
Since the discovery of graphene, two-dimensional (2D) materials have gained widespread
attention, owing to their appealing properties for various technological applications. Etched …
attention, owing to their appealing properties for various technological applications. Etched …
Review of electrochemically synthesized resistive switching devices: memory storage, neuromorphic computing, and sensing applications
Resistive-switching-based memory devices meet most of the requirements for use in next-
generation information and communication technology applications, including standalone …
generation information and communication technology applications, including standalone …
Bipolar Resistive Switching in TiO2 Artificial Synapse Mimicking Pavlov's Associative Learning
Memristive devices are among the most emerging electronic elements to realize artificial
synapses for neuromorphic computing (NC) applications and have potential to replace the …
synapses for neuromorphic computing (NC) applications and have potential to replace the …
Ti3C2-Based MXene Oxide Nanosheets for Resistive Memory and Synaptic Learning Applications
AC Khot, TD Dongale, JH Park… - … Applied Materials & …, 2021 - ACS Publications
MXene, a new state-of-the-art two-dimensional (2D) nanomaterial, has attracted
considerable interest from both industry and academia because of its excellent electrical …
considerable interest from both industry and academia because of its excellent electrical …
Facile synthesis of nickel cobaltite quasi-hexagonal nanosheets for multilevel resistive switching and synaptic learning applications
High-density memory devices are essential to sustain growth in information technology (IT).
Furthermore, brain-inspired computing devices are the future of IT businesses such as …
Furthermore, brain-inspired computing devices are the future of IT businesses such as …
Recent progress in selector and self‐rectifying devices for resistive random‐access memory application
The recent progress of selector and self‐rectifying devices for resistive random‐access
memory applications is reviewed. In particular, the performance of crossbar arrays based on …
memory applications is reviewed. In particular, the performance of crossbar arrays based on …
Binder-free synthesis of nanostructured amorphous cobalt phosphate for resistive memory and artificial synaptic device applications
PK Katkar, NS Padalkar, DD Kumbhar… - ACS Applied …, 2022 - ACS Publications
The rise of artificial intelligence and machine learning demands versatile electronic devices
for memory and brain-inspired computing applications. The electronic materials are the …
for memory and brain-inspired computing applications. The electronic materials are the …
Capacitive coupled non-zero I–V and type-II memristive properties of the NiFe2O4–TiO2 nanocomposite
NA Ahir, AV Takaloo, KA Nirmal, SS Kundale… - Materials Science in …, 2021 - Elsevier
In the present work, we have demonstrated the capacitive coupled non-zero and type-II
hysteresis behavior of nickel ferrite (NFO)-titanium oxide (TiO 2) nanocomposite. For this …
hysteresis behavior of nickel ferrite (NFO)-titanium oxide (TiO 2) nanocomposite. For this …
Dielectric and bipolar resistive switching properties of Ag doped As–S–Se chalcogenide for non-volatile memory applications
KO Čajko, DL Sekulić, SR Lukić-Petrović - Materials Chemistry and Physics, 2023 - Elsevier
In this study, dielectric and bipolar resistive switching properties of the chalcogenide from
the Ag–As 40 S 30 Se 30 system were investigated for potential application in non-volatile …
the Ag–As 40 S 30 Se 30 system were investigated for potential application in non-volatile …
Solvothermal synthesis of TiO2 nanospheres for non-volatile memory and synaptic learning applications
In this study, we used the one-pot solvothermal method to synthesize the TiO 2 nanospheres
(NSs) and used them for non-volatile memory and neuromorphic computing applications …
(NSs) and used them for non-volatile memory and neuromorphic computing applications …