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Numerical comparison of modified-energy stable SAV-type schemes and classical BDF methods on benchmark problems for the functionalized Cahn-Hilliard equation.

, , , and . J. Comput. Phys., (2020)

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Numerical comparison of modified-energy stable SAV-type schemes and classical BDF methods on benchmark problems for the functionalized Cahn-Hilliard equation., , , and . J. Comput. Phys., (2020)Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images., , , , , , , and . Medical Biol. Eng. Comput., 61 (2): 567-578 (February 2023)Learning triadic influence in large social networks., , , , , and . ASONAM, page 1380-1381. IEEE Computer Society, (2016)Tracking millions of flows in high speed networks for application identification., , , , , and . INFOCOM, page 1647-1655. IEEE, (2012)Highly accurate, linear, and unconditionally energy stable large time-stepping schemes for the Functionalized Cahn-Hilliard gradient flow equation., , , , and . J. Comput. Appl. Math., (2021)Unconditionally energy stable second-order numerical schemes for the Functionalized Cahn-Hilliard gradient flow equation based on the SAV approach., and . Comput. Math. Appl., (2021)OIDMD: A Novel Open-Set Intrusion Detection Method Based on Mahalanobis Distance., , , , , and . DSC, page 253-260. IEEE, (2023)Analysis of the Energy Stability for Stabilized Semi-implicit Schemes of the Functionalized Cahn-Hilliard Mass-conserving Gradient Flow Equation., , , , and . J. Sci. Comput., 87 (1): 34 (2021)DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models., , , , , , , , , and 9 other author(s). CoRR, (2023)Surrogate Membership for Inferred Metrics in Fairness Evaluation., , , , and . LION, volume 14286 of Lecture Notes in Computer Science, page 424-442. Springer, (2023)