Kun Wang

2 months ago | pubs.rsc.org | Lei Jin |Hui XU |Kun Wang |Yang Liu

Synergism between the gradient dilution work function and the Janus electronic state of Pt-CoPxBr1−x for boosting alkaline seawater electrolysis† The hydrogen spillover (HSo) effect of metal-supported electrocatalysts via electronic interactions can remarkably influence their performance in the hydrogen evolution reaction (HER). It needs electron-rich supporting metals to promote the adsorption/spillover of protons.

2 months ago | pubs.rsc.org | Lei Jin |Hui XU |Kun Wang |Yang Liu

Synergism between Gradient Dilution Work Function and Janus Electronic State of Pt-CoPxBr1-x for Boosting Alkaline Seawater electrolysis Hydrogen spillover (HSo) effect of metal-supported electrocatalysts via electronic interactions can remarkably influence their performance in hydrogen evolution reaction (HER). It needs electron-rich supporting metals to promote the adsorption/spillover of protons.

Jan 27, 2025 | nature.com | Christopher Johnson |Kun Wang |Paul Johnson

Significant progress has been made in probing the state of an earthquake fault by applying machine learning to continuous seismic waveforms. The breakthroughs were originally obtained from laboratory shear experiments and numerical simulations of fault shear, then successfully extended to slow-slipping faults. Here we apply the Wav2Vec-2.0 self-supervised framework for automatic speech recognition to continuous seismic signals emanating from a sequence of moderate magnitude earthquakes during the 2018 caldera collapse at the Kīlauea volcano on the island of Hawai’i. We pre-train the Wav2Vec-2.0 model using caldera seismic waveforms and augment the model architecture to predict contemporaneous surface displacement during the caldera collapse sequence, a proxy for fault displacement. We find the model displacement predictions to be excellent. The model is adapted for near-future prediction information and found hints of prediction capability, but the results are not robust. The results demonstrate that earthquake faults emit seismic signatures in a similar manner to laboratory and numerical simulation faults, and artificial intelligence models developed for encoding audio of speech may have important applications in studying active fault zones. Here, the authors apply the Wav2Vec-2.0 self-supervised framework for automatic speech recognition to continuous seismic signals emanating from a sequence of moderate magnitude earthquakes during the 2018 caldera collapse at the Kilauea volcano on the island of Hawai’i.

Jan 13, 2025 | respiratory-research.biomedcentral.com | Di Wu |Jing Gao |Kun Wang |Wujian Xu |Feilong Wang |Zhixian Jin | +4 more

Instead of expensive and giant cryoablation equipment used in clinic, the instruments required for VSCD are commonly available in general laboratories, mainly including liquid nitrogen tank, liquid nitrogen pen, stereomicroscope, microforceps, 75% alcohol, operating board, ophthalmic curved scissors, hemostat, forceps, and timer (Fig. 1A).

Jan 2, 2025 | link.aps.org | Wei Xie |Kun Wang

We consider the quantum memory assisted quantum state verification task, where an adversary prepares independent multipartite entangled states and sends them to the local verifiers, who then store several copies in the quantum memory and measure them collectively to make a decision.