Hydrogels find widespread applications in biomedicine because of their outstanding
biocompatibility, biodegradability, and tunable material properties. Hydrogels can be …

Memristive devices have been explored as electronic synaptic devices to mimic biological
synapses for develo** hardware-based neuromorphic computing systems. However …

The ever-increasing volume of complex data poses significant challenges to conventional
sequential global processing methods, highlighting their inherent limitations. This …

Robust ferroelectricity in HfO2-based ultrathin films has the potential to revolutionize
nonvolatile memory applications in nanoscale electronic devices because of their …

The coexistence of nonvolatile and volatile switching modes in a single memristive device
provides flexibility to emulate both neuronal and synaptic functions in the brain. Furthermore …

The two-terminal memristor is a promising neuromorphic artificial electronic device,
mirroring biological synapses in structure and replicating various synaptic functions. Despite …

Neuromorphic computing, inspired by the brain's architecture, promises to surpass the
limitations of von Neumann computing. In this paradigm, synaptic devices play a crucial role …

Photoresponsivity studies of wide-bandgap oxide-based devices have emerged as a vibrant
and popular research area. Researchers have explored various material systems in their …

The advancement of artificial intelligence (AI) has spurred increasing demands for efficiency,
as AI technologies require rapid processing and large-scale data handling to perform …

Neuromorphic computing implemented with spiking neural networks (SNNs) based on
volatile threshold switching is an energy‐efficient computing paradigm that may overcome …