3D carbon based nanostructures for advanced supercapacitors
Supercapacitors have attracted intense attention due to their great potential to meet the demand
of both high energy density and power density in many advanced technologies. Various …
of both high energy density and power density in many advanced technologies. Various …
Advanced energy storage devices: basic principles, analytical methods, and rational materials design
Tremendous efforts have been dedicated into the development of high‐performance energy
storage devices with nanoscale design and hybrid approaches. The boundary between the …
storage devices with nanoscale design and hybrid approaches. The boundary between the …
Defect-rich and ultrathin N doped carbon nanosheets as advanced trifunctional metal-free electrocatalysts for the ORR, OER and HER
Rational design and facile preparation of non-noble trifunctional electrocatalysts with high
performance, low cost and strong durability for the oxygen reduction reaction (ORR), oxygen …
performance, low cost and strong durability for the oxygen reduction reaction (ORR), oxygen …
[HTML][HTML] Efficient and self-adaptive in-situ learning in multilayer memristor neural networks
Memristors with tunable resistance states are emerging building blocks of artificial neural
networks. However, in situ learning on a large-scale multiple-layer memristor network has yet …
networks. However, in situ learning on a large-scale multiple-layer memristor network has yet …
Content analysis for audio classification and segmentation
We present our study of audio content analysis for classification and segmentation, in which
an audio stream is segmented according to audio type or speaker identity. We propose a …
an audio stream is segmented according to audio type or speaker identity. We propose a …
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
The accumulation and extrusion of Ca 2+ in the pre- and postsynaptic compartments play a
critical role in initiating plastic changes in biological synapses. To emulate this fundamental …
critical role in initiating plastic changes in biological synapses. To emulate this fundamental …
Ego4d: Around the world in 3,000 hours of egocentric video
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers
3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outdoor…
3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outdoor…
Analogue signal and image processing with large memristor crossbars
Memristor crossbars offer reconfigurable non-volatile resistance states and could remove
the speed and energy efficiency bottleneck in vector-matrix multiplication, a core computing …
the speed and energy efficiency bottleneck in vector-matrix multiplication, a core computing …
Fully memristive neural networks for pattern classification with unsupervised learning
Neuromorphic computers comprised of artificial neurons and synapses could provide a more
efficient approach to implementing neural network algorithms than traditional hardware. …
efficient approach to implementing neural network algorithms than traditional hardware. …
Tail risk and asset prices
We propose a new measure of time-varying tail risk that is directly estimable from the cross-section
of returns. We exploit firm-level price crashes every month to identify common …
of returns. We exploit firm-level price crashes every month to identify common …