Neuromorphic computing using non-volatile memory
Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path
for implementing massively-parallel and highly energy-efficient neuromorphic computing …
for implementing massively-parallel and highly energy-efficient neuromorphic computing …
Graphene and beyond: recent advances in two-dimensional materials synthesis, properties, and devices
Since the isolation of graphene in 2004, two-dimensional (2D) materials research has
rapidly evolved into an entire subdiscipline in the physical sciences with a wide range of …
rapidly evolved into an entire subdiscipline in the physical sciences with a wide range of …
Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices
The close replication of synaptic functions is an important objective for achieving a highly
realistic memristor-based cognitive computation. The emulation of neurobiological learning …
realistic memristor-based cognitive computation. The emulation of neurobiological learning …
Optically stimulated artificial synapse based on layered black phosphorus
The translation of biological synapses onto a hardware platform is an important step toward
the realization of brain‐inspired electronics. However, to mimic biological synapses, devices …
the realization of brain‐inspired electronics. However, to mimic biological synapses, devices …
Nanoarchitectonics for dynamic functional materials from atomic‐/molecular‐level manipulation to macroscopic action
Objects in all dimensions are subject to translational dynamism and dynamic mutual
interactions, and the ability to exert control over these events is one of the keys to the …
interactions, and the ability to exert control over these events is one of the keys to the …
Technology and integration roadmap for optoelectronic memristor
Optoelectronic memristors (OMs) have emerged as a promising optoelectronic
Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic …
Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic …
Emerging artificial synaptic devices for neuromorphic computing
In today's era of big‐data, a new computing paradigm beyond today's von‐Neumann
architecture is needed to process these large‐scale datasets efficiently. Inspired by the …
architecture is needed to process these large‐scale datasets efficiently. Inspired by the …
Layered memristive and memcapacitive switches for printable electronics
AA Bessonov, MN Kirikova, DI Petukhov, M Allen… - Nature materials, 2015 - nature.com
Novel computing technologies that imitate the principles of biological neural systems may
offer low power consumption along with distinct cognitive and learning advantages,. The …
offer low power consumption along with distinct cognitive and learning advantages,. The …
2D MoS2 Neuromorphic Devices for Brain‐Like Computational Systems
J Jiang, J Guo, X Wan, Y Yang, H Xie, D Niu, J Yang… - Small, 2017 - Wiley Online Library
Hardware implementation of artificial synapses/neurons with 2D solid‐state devices is of
great significance for nanoscale brain‐like computational systems. Here, 2D MoS2 …
great significance for nanoscale brain‐like computational systems. Here, 2D MoS2 …
Memristive synapses and neurons for bioinspired computing
To realize highly efficient neuromorphic computing that is comparable to biological
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …