Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics (Adv. Sci. 25/2026)
Source abstract
Abstract
Oscillatory Dynamics On this cover, a spinning top symbolizes an oscillatory system shaped by subtle effects, with dense inner trails and expanding ripples revealing the gradual accumulation of weak nonlinearities over time. Surrounding storms, colorful halos, and secondary vortices embody weak perturbations, anharmonic potentials, and coupling effects, respectively; background elements-wind turbines, a bridge, and a starfield-evoke real-world applications. This scene reflects the findings of Wei Cui, Gang Yan, Lin Zhao, and co-workers who show that EvLOWN accurately infers governing equations of weakly nonlinear oscillators from sparse, noisy data. More details can be found in the Research Article (DOI: 10.1002/advs.202519707). The cover art was created by Coloring Zehao.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Model Reduction and Neural Networks · Neural Networks and Reservoir Computing · Chaos control and synchronization
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References
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