Intelligent algorithms have been applied to solving conditional nonlinear optimal perturbation
(CNOP), which plays an important role in the study of weather and climate predictability. …

Molecular docking, which simulates the binding pose of a drug molecule to target proteins
and predicts the binding affinity, is an important computational tool in structure‐based drug …

Conditional nonlinear optimal perturbation (CNOP) is an initial perturbation evolving into the
largest nonlinear evolution at the prediction time. It has become a useful tool in meteorology …

The predictability of El Niño-Southern Oscillation (ENSO) has been an important area of
study for years. Searching for the optimal precursor (OPR) of ENSO occurrence is an effective …

Increasing additional observation in the typhoon targeted observation sensitive area can
help providing more accurate initial field for numerical models, further to improve the typhoon …

Conditional nonlinear optimal perturbation (CNOP) has been widely applied to study the
predictability of weather and climate. The classical method of solving CNOP is adjoint method, …

Water molecules play an important role in many biological processes in terms of stabilizing
protein structures, assisting protein folding, and improving binding affinity. It is well known that…

Based on Continuous Tabu Search with Sine map and Staged strategy (CTS-SS) algorithm,
an improved CTS-SS (iCTS-SS) algorithm is proposed to achieve rapid convergence and …

The governing equation of a cylindrical shell with radial stiffness and damping constraints is
established and then solved. The bifurcation conditions of buckling are obtained given …

With the developing of big data and artificial intelligence, the application of smart grid has
received widespread attention. Specifically, accurate power load forecasting plays an …