Reference author: Anita Layton

Wang, J., & Layton, A. (2009). Numerical simulations of fiber sedimentation in Navier-Stokes flows Communications in Computational Physics, 5, 61.

Beale, T., & Layton, A. (2007). On the accuracy of finite difference methods for elliptic problems with interfaces Communications in Applied Mathematics and Computational Science, 1, 91\textendash119.

Layton, A., & Minion, M. (2007). Implications of the choice of predictors for semi-implicit Picard integral deferred correction methods Communications in Applied Mathematics and Computational Science, 2, 1\textendash34.

Hou, G., Wang, J., & Layton, A. (2012). Numerical methods for fluid-structure interaction\textemdasha review Communications in Computational Physics, 12, 337\textendash377.

Layton, A., Stockie, J., Li, Z., & Huang, H. (2012). Special Issue on Fluid Motion Driven by Immersed Structures Preface GLOBAL SCIENCE PRESS ROOM 3208, CENTRAL PLAZA, 18 HARBOUR RD, WANCHAI, HONG \textellipsis.

Wang, J., & Layton, A. (2010). New numerical methods for Burgers\textquoteright equation based on semi-Lagrangian and modified equation approaches Applied Numerical Mathematics, 60, 645\textendash657.

Moss, R., & Layton, A. (2014). Impacts of UT-A2 inhibition on urine composition: a mathematical model (1137.8) The FASEB Journal, 28, 1137\textendash8.

Fry, B., & Layton, A. (2014). Structural organization of the renal medulla has a significant impact on oxygen distribution (890.11) The FASEB Journal, 28, 890\textendash11.

Moss, R., & Layton, A. (2013). Modeling the effects of medullary blood flow regulation on pressure natriuresis The Federation of American Societies for Experimental Biology.

Sgouralis, I., & Layton, A. (2013). Nephrovascular interactions in a mathematical model of rat renal autoregulation The Federation of American Societies for Experimental Biology.