February 24, 2025 article Open access Accurate, scalable, and efficient Bayesian optimal experimental design with derivative-informed neural operators Computer Methods in Applied Mechanics and Engineering DOI: 10.1016/j.cma.2025.117845 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 6 References 3 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Multilevel double loop Monte Carlo and stochastic collocation methods with importance sampling for Bayesian optimal experimental design 2020 International Journal for Numerical Methods in Engineering article Decision Sciences Optimal Experimental Design Methods Open access 28 citations A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models 2023 Journal of Computational Physics article Decision Sciences Optimal Experimental Design Methods Open access 7 citations Sensor selection for hyper‐parameterized linear Bayesian inverse problems 2021 PAMM article Mathematics Numerical methods in inverse problems Open access 4 citations 3 results