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Numerical analysis, scientific computation, and computational PDEs;
Optimal discretisation theory, minimal residual (MRes) and Petrov-Galerkin methods;
Foundations of error estimation and optimality of adaptive FEM;
Reduced-order, multi-scale, and adaptive modelling;
Neural networks and machine-learning for scientific computation;
Uncertainty quantification, validation and optimal Bayesian experimental design;
Evolving-interface phenomena, free- and moving-boundary problems;
Multiphase flows and materials, and phase-field/diffuse-interface models;
Applications to fluid dynamics, mechanobiology and engineering mechanics.
Numerical analysis, scientific computation, and computational PDEs;
Optimal discretisation theory, minimal residual (MRes) and Petrov-Galerkin methods;
Foundations of error estimation and optimality of adaptive FEM;
Reduced-order, multi-scale, and adaptive modelling;
Neural networks and machine-learning for scientific computation;
Uncertainty quantification, validation and optimal Bayesian experimental design;
Evolving-interface phenomena, free- and moving-boundary problems;
Multiphase flows and materials, and phase-field/diffuse-interface models;
Applications to fluid dynamics, mechanobiology and engineering mechanics.
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论文共 65 篇作者统计合作学者相似作者
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Computers & Mathematics with Applications (2024): 139-149
Engineering with Computersno. 6 (2023): 4167-4184
CoRR (2023)
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Eng. Comput.no. 1 (2023): 1-2
ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSISno. 1 (2022): 177-211
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