National Natural Science Foundation of China,Grant/Award Number:21805166;111 Project of China,Grant/Award Number:D20015;Ministryof Education,Hubei province,China,Grant/Award Number:T2020004;Foundation of Science and Technology Bureau of Yichang City,Grant/Award Number:A21‐3‐012。
In spite of the numerous advances in the development of H_(2)and O_(2)evolutions upon water splitting,the separation of H_(2)from O_(2)still remains a severe challenge.Herein,the novel dual-functional nanocatalysts Pd...
supported by the National Natural Science Foundation of China(Grant No.40975063);the National Natural Science Foundation of China(Grant No.41331174)
A variant constrained genetic algorithm (VCGA) for effective tracking of conditional nonlinear optimal perturbations (CNOPs) is presented. Compared with traditional constraint handling methods, the treatment of th...
supported bythe National Natural Science Foundation of China(Grant Nos40975063 and 40830955)
The lower bound of maximum predictable time can be formulated into a constrained nonlinear opti- mization problem, and the traditional solutions to this problem are the filtering method and the conditional nonlinear o...
the CAS Key Innovation Direction Project (Grant No. KZCX2-208); the National Natural Science Foundation of China (Grant Nos. 40023001 and 40075015); Innovation Foundation of Institute of Atmospheric Physics, CAS (Grant No. 8-1315), and LLAMA Project 98
A new adjoint approach is applied to variational data assimilation of a general 'on-off' switch model. The accurate gradient expression is obtained in analytical case. In discrete case, the existence of gradient is di...