Christopher J. Earls
Affiliations: | Cornell University, Ithaca, NY, United States |
Area:
Civil Engineering, Applied Mathematics, StatisticsGoogle:
"Christopher Earls"Children
Sign in to add trainee| Ibrahim Erdem | grad student | 2008 | Cornell |
| Emily L. Guzas | grad student | 2010 | Cornell |
| Christopher J. Stull | grad student | 2010 | Cornell |
| Henri R. Sternfels | grad student | 2013 | Cornell |
| Thomas F Burns | post-doc | 2024- | Cornell (Neurotree) |
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Publications
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| Wu W, Kosianka J, Reed H, et al. (2020) CU-BENs: A structural modeling finite element library Softwarex. 11: 100485 |
| Gilles MA, Earls C, Bindel D. (2019) A Subspace Pursuit Method to Infer Refractivity in the Marine Atmospheric Boundary Layer Ieee Transactions On Geoscience and Remote Sensing. 57: 5606-5617 |
| Loeb AE, Earls C. (2019) Analysis of heterogeneous computing approaches to simulating heat transfer in heterogeneous material Journal of Parallel and Distributed Computing. 133: 1-17 |
| Lin YC, Earls CJ, Park JT, et al. (2017) Stochastic inversion for the roll gyradius second moment mass property in ships at full-scale and model-scale Applied Ocean Research. 63: 24-35 |
| Fountoulakis V, Earls C. (2016) Inverting for Maritime Environments Using Proper Orthogonal Bases From Sparsely Sampled Electromagnetic Propagation Data Ieee Transactions On Geoscience and Remote Sensing. 54: 7166-7176 |
| Fountoulakis V, Earls C. (2016) Duct heights inferred from radar sea clutter using proper orthogonal bases Radio Science. 51: 1614-1626 |
| Reed HM, Earls CJ. (2015) Stochastic identification of the structural damage condition of a ship bow section under model uncertainty Ocean Engineering. 103: 123-143 |
| Reed HM, Earls CJ, Nichols JM. (2014) Stochastic identification of imperfections in a submerged shell structure Computer Methods in Applied Mechanics and Engineering. 272: 58-82 |
| Sternfels R, Earls CJ. (2013) Reduced-order model tracking and interpolation to solve PDE-based Bayesian inverse problems Inverse Problems. 29: 75014 |
| Earls CJ. (2013) Bayesian inference of hidden corrosion in steel bridge connections: Non-contact and sparse contact approaches Mechanical Systems and Signal Processing. 41: 420-432 |