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Active learning of deep surrogates for PDEs: Application to metasurface design., , , , and . CoRR, (2020)Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative., , , , , , , , , and 76 other author(s). J. Am. Medical Informatics Assoc., 29 (4): 609-618 (2022)A refined methodology for validation of information models derived from flowsheet data and applied to a genitourinary case., , , , , , , , , and 1 other author(s). J. Am. Medical Informatics Assoc., 27 (11): 1732-1740 (2020)Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data., , , , and . Appl. Clin. Inform., 07 (01): 69-88 (2016)Python Bindings for the Open Source Electromagnetic Simulator Meep., , , , , , and . Comput. Sci. Eng., 13 (3): 53-65 (2011)Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport., , , and . CoRR, (2022)Physics-informed neural networks with hard constraints for inverse design., , , , , and . CoRR, (2021)Promoting Learning Health System Cycles by Optimizing EHR Data Clinical Concept Encoding Processes., , , , , , , and . MedInfo, volume 310 of Studies in Health Technology and Informatics, page 68-73. IOS Press, (2023)Type-IV DCT, DST, and MDCT algorithms with reduced numbers of arithmetic operations., and . Signal Process., 88 (6): 1313-1326 (2008)Distinguishing correct from incorrect PML proposals and a corrected unsplit PML for anisotropic, dispersive media., and . J. Comput. Phys., 230 (7): 2369-2377 (2011)