2020年3期
刊物介绍
该刊是经新闻出版总署批准,由中国科学院主管,中国科学院力学研究所和中国力学学会主办的学术期刊。它将于2011 年1月10日出版其创刊号,并在国内外公开发行。该刊由中国力学学会和 American Institute of Physics ( AIP ,美国物理联合会)合作出版和发行,将在 AIP 的著名电子平台 Scitation ( Scitation . aip . org )上在线出版。该刊在 AIP 上的网站为 http:// taml.aip.org。TAML定位为国际化的快报类英文期刊;旨在快速、精炼地报道具有原创性和重要价值的力学所有分支学科、力学交叉学科的理论、实验、计算以及应用等方面的研究思想、方法、进展和成果;注重前沿性和时效性,注重力学和工程的结合。 TAML 将为力学及相关学科作者提供最快发表自己研究成果的平台,为读者提供最快了解国际前沿的渠道。
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