| Dimensional reduction of nonlinear finite element dynamic models with finite rotations and energy‐based mesh sampling and weighting for computational efficiency C Farhat, P Avery, T Chapman, J Cortial International Journal for Numerical Methods in Engineering 98 (9), 625-662, 2014 | 384 | 2014 |
| Structure‐preserving, stability, and accuracy properties of the energy‐conserving sampling and weighting method for the hyper reduction of nonlinear finite element dynamic models C Farhat, T Chapman, P Avery International journal for numerical methods in engineering 102 (5), 1077-1110, 2015 | 305 | 2015 |
| Accelerated mesh sampling for the hyper reduction of nonlinear computational models T Chapman, P Avery, P Collins, C Farhat International Journal for Numerical Methods in Engineering 109 (12), 1623-1654, 2017 | 83 | 2017 |
| On understanding the physics of the Enceladus south polar plume via numerical simulation SK Yeoh, TA Chapman, DB Goldstein, PL Varghese, LM Trafton Icarus 253, 205-222, 2015 | 42 | 2015 |
| Feasible probabilistic learning method for model-form uncertainty quantification in vibration analysis C Farhat, R Tezaur, T Chapman, P Avery, C Soize AIAA Journal 57 (11), 4978-4991, 2019 | 37 | 2019 |
| A stochastic projection-based hyperreduced order model for model-form uncertainties in vibration analysis C Farhat, A Bos, R Tezaur, T Chapman, P Avery, C Soize 2018 AIAA Non-Deterministic Approaches Conference, 1410, 2018 | 6 | 2018 |
| Nonlinear model order reduction for structural systems with contact T Chapman Stanford University, 2019 | 5 | 2019 |
| Coordinated learning using distributed average consensus TA Chapman, IJ Ravlich, CT Hansen, D Maren US Patent 11,244,243, 2022 | 4 | 2022 |
| Decentralized latent semantic index using distributed average consensus TA Chapman, IJ Ravlich, CT Hansen, D Maren US Patent 10,909,150, 2021 | 4 | 2021 |
| Decentralized recommendations using distributed average consensus TA Chapman, IJ Ravlich, CT Hansen, D Maren US Patent 10,878,482, 2020 | 3 | 2020 |
| Stability and accuracy properties of the energy-conserving sampling and weighting (ECSW) method for the hyper reduction of nonlinear finite element dynamic models C Farhat, T Chapman, P Avery Int J Numer Methods Eng 102, 1077-110, 2015 | 3 | 2015 |
| Recent advances in parametric nonlinear model order reduction: treatment of shocks, contact and interfaces, structure-preserving hyper reduction, acceleration of multiscale … C Farhat, P Avery, T Chapman, P Collins, K Washabaugh, M Zahr 7th European Congress on Computational Methods in Applied Sciences and …, 2016 | 2 | 2016 |
| Containerizing source code for execution in different language using drag-and-drop operation TA Chapman, IJ Ravlich US Patent 11,068,260, 2021 | 1 | 2021 |
| ECSW: An Energy-based Structure-preserving Method for the Hyper Reduction of Nonlinear Finite Element Reduced-Order Models P Avery, T Chapman, C Farhat | 1 | |
| Techniques for providing a privacy-based data sharing protocol CW Sibbach, JM Padilla, LD Novak, RA Mccomb, S Davis, TA Chapman, ... US Patent App. 18/240,510, 2024 | | 2024 |
| Containerizing source code for execution in different language using drag-and-drop operation TA Chapman, IJ Ravlich US Patent 11,573,791, 2023 | | 2023 |
| Decentralized recommendations using distributed average consensus TA Chapman, IJ Ravlich, CT Hansen, D Maren US Patent 11,468,492, 2022 | | 2022 |
| Secure and seamless integration of trustless blockchain merchant connector CW Sibbach, TA Chapman US Patent App. 17/706,499, 2022 | | 2022 |
| Containerizing source code for execution in different language using drag-and-drop operation TA Chapman, IJ Ravlich US Patent 11,372,641, 2022 | | 2022 |
| Decentralized Latent Semantic Index Using Distributed Average Consensus TA Chapman, IJ Ravlich, CT Hansen, D Maren US Patent App. 17/133,948, 2021 | | 2021 |
Charbel FarhatVivian Church Hoff Professor in the School of Engineering, Stanford University在 stanford.edu 的电子邮件经过验证
