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20022026
most citedSummary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

765 citations

Showing 2020Show all

39 papers · 1 filter

cs.LG2020★ 4 cited

Machine learning prediction of critical transition and system collapse

Ling-Wei Kong, Hua-Wei Fan, Celso Grebogi +1

To predict a critical transition due to parameter drift without relying on model is an outstanding problem in nonlinear dynamics and applied fields. A closely related problem is to…

nlin.PS2020★ 21 cited

Spiral wave chimeras in reaction-diffusion systems: phenomenon, mechanism and transitions

Bing-Wei Li, Yuan He, Ling-Dong Li +2

Spiral wave chimeras (SWCs), which combine the features of spiral waves and chimera states, are a new type of dynamical patterns emerged in spatiotemporal systems due to the sponta…

physics.optics2020

Surface Enhanced Circular Dichroism by Quadrilateral Arranged Nanoholes

Abuduwaili. Abudukelimu, Tursunay. Yibibulla, Muhammad Ikram +1

Circular dichroism (CD) is absorption difference of right-hand and left-hand circularly polarized light by components. CD spectroscopy technique is an important tool for detecting…

physics.optics2020★ 41 cited

Nonreciprocal optical solitons in a spinning Kerr resonator

Baijun Li, Şahin. K. Özdemir, Xun-Wei Xu +3

We propose a spinning nonlinear resonator as an experimentally accessible platform to achieve nonreciprocal control of optical solitons. Nonreciprocity here results from the relati…

q-bio.PE2020

Synchronization within synchronization: transients and intermittency in ecological networks

Huawei Fan, Ling-Wei Kong, Xingang Wang +2

Transients are fundamental to ecological systems with significant implications to management, conservation, and biological control. We uncover a type of transient synchronization b…

cs.NE2020★ 19 cited

Transfer learning of chaotic systems

Yali Guo, Han Zhang, Liang Wang +2

Can a neural network trained by the time series of system A be used to predict the evolution of system B? This problem, knowing as transfer learning in a broad sense, is of great i…