2020年3期
刊物介紹
該刊是經(jīng)新聞出版總署批準，由中國科學院主管，中國科學院力學研究所和中國力學學會主辦的學術(shù)期刊。它將于2011 年1月10日出版其創(chuàng)刊號，并在國內(nèi)外公開發(fā)行。該刊由中國力學學會和 American Institute of Physics ( AIP ，美國物理聯(lián)合會）合作出版和發(fā)行，將在 AIP 的著名電子平臺 Scitation ( Scitation . aip . org ）上在線出版。該刊在 AIP 上的網(wǎng)站為 http：// taml.aip.org。TAML定位為國際化的快報類英文期刊；旨在快速、精煉地報道具有原創(chuàng)性和重要價值的力學所有分支學科、力學交叉學科的理論、實驗、計算以及應(yīng)用等方面的研究思想、方法、進展和成果；注重前沿性和時效性，注重力學和工程的結(jié)合。 TAML 將為力學及相關(guān)學科作者提供最快發(fā)表自己研究成果的平臺，為讀者提供最快了解國際前沿的渠道。
Theoretical & Applied Mechanics Letters
- Mechanistic Machine Learning: Theory, Methods, and Applications
- Deep density estimation via invertible block-triangular mapping
- Classifying wakes produced by self-propelled fish-like swimmers using neural networks
- Physics-constrained indirect supervised learning
- Physics-constrained bayesian neural network for fluid flow reconstruction with sparse and noisy data
- Reducing parameter space for neural network training
- Nonnegativity-enforced Gaussian process regression
- A perspective on regression and Bayesian approaches for system identification of pattern formation dynamics
- Multi-fidelity Gaussian process based empirical potential development for Si:H nanowires
- Learning material law from displacement fields by artificial neural network
- Physics-informed deep learning for incompressible laminar flows