2021年12期
刊物介紹
Acta Mechanica Sinica中國(guó)力學(xué)學(xué)會(huì)主辦的綜合性、國(guó)際化的英文期刊。由鄭泉水、史維、鎖志剛擔(dān)任主編。主要刊登理論力學(xué)和應(yīng)用力學(xué)領(lǐng)域研究成果，既包括固體力學(xué)和流體力學(xué)等經(jīng)典的分支，還包括生物力學(xué)和納米力學(xué)等力學(xué)前沿學(xué)科和熱點(diǎn)問題的研究。欄目包括國(guó)內(nèi)外力學(xué)及相關(guān)領(lǐng)域的前沿研究綜述、研究論文、快報(bào)、討論。目前， Acta Mechanica Sinica被科學(xué)引文檢索 SCI ，工程索引 El 等多個(gè)國(guó)內(nèi)外著名數(shù)據(jù)庫(kù)所收錄，并與國(guó)際著名出版商Springer-Verlag合作全球發(fā)行。 2010 年，在 SCI 數(shù)據(jù)庫(kù)中影響因子為 0 . 749 。
Acta Mechanica Sinica
THEMED PAPERS ON “ARTIFICIAL INTELLIGENCE IN FLUID MECHANICS”_PERSPECTIVE
THEMED PAPERS ON “ARTIFICIAL INTELLIGENCE IN FLUID MECHANICS”_INVITED REVIEW
THEMED PAPERS ON “ARTIFICIAL INTELLIGENCE IN FLUID MECHANICS”_RESEARCH PAPER
- Genetic-algorithm-based artificial intelligence control of a turbulent boundary layer
- Practical framework for data-driven RANS modeling with data augmentation
- Multilayer perceptron neural network activated by adaptive Gaussian radial basis function and its application to predict lid-driven cavity flow
- Deconvolutional artificial-neural-network framework for subfilter-scale models of compressible turbulence
- Bayesian optimization for active flow control
- Aerodynamic modeling using an end-to-end learning attitude dynamics network for flight control
- Data-driven Bayesian inference of turbulence model closure coefficients incorporating epistemic uncertainty