Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters

By Nam Vu-Bac, R. Rafiee, Xiaoying Zhuang, Tom Lahmer, Timon Rabczuk. 2015

259 citations recorded by the source corpus.

Subfields: Materials Chemistry, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/0c6f8d6c5b0f1827d69a210be72f8b0a3fa7d29d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Materials Chemistry

1. Xiaoying Zhuang
2. Timon Rabczuk
3. Trung Nguyen-Thoi
4. Nam Vu-Bac
5. Tom Lahmer
6. Ted Belytschko

In Polymers and Plastics

1. Timon Rabczuk
2. Xiaoying Zhuang

Citations in the corpus

• Multi-scale modeling in thermal conductivity of Polyurethane incorporated with Phase Change Materials using Physics-Informed Neural Networks (2023, methodology): “To analyze and quantify the degree of agglomeration, we employ a two-parameter method [41].”
• Static and frequency optimization of folded laminated composite plates using an adjusted Differential Evolution algorithm and a smoothed triangular plate element (2015, methodology): “In specific, material properties for each layer namely Young’s moduli E1; E2 and shear moduli G12;G23;G13 could be calculated by Mori–Tanaka or self-consistent model as in Ref [57].”
• A software framework for probabilistic sensitivity analysis for computationally expensive models (2016, background): “[3] Vu-Bac N, Rafiee R, Zhuang X, Lahmer T, Rabczuk T.”