FFTW: an adaptive software architecture for the FFT. - Matteo Frigo; Steven G. Johnson (ICASSP, 1998)

Molding the flow of light. - Steven G. Johnson; Attila Mekis; Shanhui Fan; John D. Joannopoulos (Comput. Sci. Eng., 2001)

The Design and Implementation of FFTW3. - Matteo Frigo; Steven G. Johnson (Proc. IEEE, 2005)

Comments on "Method of flow graph simplification for the 16-point discrete Fourier Transform". - Steven G. Johnson; Matteo Frigo (IEEE Trans. Signal Process., 2006)

Comments on "Split Manageable Efficient Algorithm for Fourier and Hadamard Transforms". - Matteo Frigo; Steven G. Johnson (IEEE Trans. Signal Process., 2007)

A Modified Split-Radix FFT With Fewer Arithmetic Operations. - Steven G. Johnson; Matteo Frigo (IEEE Trans. Signal Process., 2007)

Type-IV DCT, DST, and MDCT algorithms with reduced numbers of arithmetic operations. - Xuancheng Shao; Steven G. Johnson (Signal Process., 2008)

Type-II/III DCT/DST algorithms with reduced number of arithmetic operations. - Xuancheng Shao; Steven G. Johnson (Signal Process., 2008)

Meep: A flexible free-software package for electromagnetic simulations by the FDTD method. - Ardavan F. Oskooi; David Roundy; Mihai Ibanescu; Peter Bermel; John D. Joannopoulos; Steven G. Johnson (Comput. Phys. Commun., 2010)

Python Bindings for the Open Source Electromagnetic Simulator Meep. - Emmanuel Lambert; Martin Fiers; Shavkat Nizamov; Martijn Tassaert; Steven G. Johnson; Peter Bienstman; Wim Bogaerts (Comput. Sci. Eng., 2011)

Distinguishing correct from incorrect PML proposals and a corrected unsplit PML for anisotropic, dispersive media. - Ardavan F. Oskooi; Steven G. Johnson (J. Comput. Phys., 2011)

CTSI Pilot: Evaluating EHR Flowsheet Data Quality for Secondary Use in Research. - Steven G. Johnson; Matthew D. Byrne; Beverly Christie; Justin Dale; Supreet B. Kathpalia; Emily Melcher; Tim Meyer; Jung In Park; Suzan Sherman; Bonnie L. Westra (AMIA, 2013)

Fluctuation-Induced Phenomena in Nanoscale Systems: Harnessing the Power of Noise. - M. T. Homer Reid; Alejandro W. Rodriguez; Steven G. Johnson (Proc. IEEE, 2013)

Semi-Automated Method to Extract Semantic Information from EHR Flowsheet Data for Pressure Ulcer Research. - Steven G. Johnson; Jung In Park; Matthew D. Byrne; Beverly Christie; Lisiane Pruinelli; Suzan Sherman; Bonnie L. Westra (AMIA, 2014)

Clinical Data Modeling EHR Data for Understanding Factors Related to Hospital-acquired Catheter-Associated Urinary Tract Infection (CAUTI). - Jung In Park; Steven G. Johnson; Matthew D. Byrne; Beverly Christie; Lisiane Pruinelli; Suzan Sherman; Bonnie L. Westra (AMIA, 2014)

Musculoskeletal Flowsheet Data Modeling for Clinical Research. - Matthew D. Byrne; Steven G. Johnson; Beverly Christie; Jung In Park; Lisiane Pruinelli; Suzan Sherman; Bonnie L. Westra (AMIA, 2015)

A Data Quality Ontology for the Secondary Use of EHR Data. - Steven G. Johnson; Stuart M. Speedie; György J. Simon; Vipin Kumar 001; Bonnie L. Westra (AMIA, 2015)

Quantifying the Effect of Data Quality on the Correctness of an eMeasure. - Steven G. Johnson; Stuart M. Speedie; György J. Simon; Vipin Kumar 001; Bonnie L. Westra (AMIA, 2016)

Modeling Flowsheet Data for Secondary Use. - Bonnie L. Westra; Beverly Christie; Matthew D. Byrne; Anne LaFlamme; Grace Gao; Steven G. Johnson; Jung In Park; Lisiane Pruinelli; Piper Ranallo; Connie White-Delaney; Stuart M. Speedie (AMIA, 2016)

Pooling Mental Health Data Collected in EHRs: A Methodology for Developing an an RDoc-Based Research Repository. - Piper Ranallo; Beverly Christie; Steven G. Johnson; Lisiane Pruinelli; Anne LaFlamme; Jung In Park; Suzan G. Sherman; Matthew D. Byrne; Stuart M. Speedie; Bonnie L. Westra (CRI, 2016)

Expanding Interprofessional EHR Data in i2b2. - Bonnie L. Westra; Beverly Christie; Steven G. Johnson; Lisiane Pruinelli; Anne LaFlamme; Jung In Park; Suzan G. Sherman; Piper Ranallo; Matthew D. Byrne; Stuart M. Speedie (CRI, 2016)

Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data. - Stuart M. Speedie; György J. Simon; Vipin Kumar 001; Bonnie L. Westra; Steven G. Johnson (Appl. Clin. Inform., 2016)

FloMap: A Collaborative Tool for Mapping Local EHR Flowsheet Data to Information Models. - Steven G. Johnson; Lisiane Pruinelli; Beverly Christie; Connie White-Delaney; Grace Gao; Anne LaFlamme; Jung In Park; Suzan G. Sherman; Bonnie L. Westra (CRI, 2017)

Quantifying the Effect of Data Quality on the Validity of an eMeasure. - Steven G. Johnson; Stuart M. Speedie; György J. Simon; Vipin Kumar 001; Bonnie L. Westra (Appl. Clin. Inform., 2017)

Multiple Factors Drive Opioid Prescribing at the Time of Discharge. - Lisiane Pruinelli; Sisi Ma; Bonnie L. Westra; Steven G. Johnson; Susan O'Conner-Von; Stuart M. Speedie (AMIA, 2018)

Validation and Refinement of a Pain Information Model from EHR Flowsheet Data. - Bonnie L. Westra; Steven G. Johnson; Samira Ali; Karen Bavuso; Christopher Cruz; Sarah Collins; Meg Furukawa; Mary L. Hook; Anne LaFlamme; Kay Lytle; Lisiane Pruinelli; Tari Rajchel; et al. (Appl. Clin. Inform., 2018)

Machine Learned Mapping of Local EHR Flowsheet Data to Standard Information Models using Topic Model Filtering. - Steven G. Johnson; Lisiane Pruinelli; Bonnie L. Westra (AMIA, 2019)

Analyzing Flowsheet Data to Refine and Validate Information Models. - Kay Lytle; Bonnie L. Westra; Mary L. Hook; Mischa Adams; Samira Ali; Meg Furukawa; Steven G. Johnson; Tari Rajchel; Sarah Collins Rossetti; Theresa (Tess) Settergren; LuAnn Whittenburg (AMIA, 2019)

Accurate solar-power integration: Solar-weighted Gaussian quadrature. - Steven G. Johnson (CoRR, 2019)

Factorized Machine Learning for Performance Modeling of Massively Parallel Heterogeneous Physical Simulations. - Ardavan F. Oskooi; Christopher Hogan; Alec M. Hammond; M. T. Homer Reid; Steven G. Johnson (CoRR, 2020)

Active learning of deep surrogates for PDEs: Application to metasurface design. - Raphaël Pestourie; Youssef Mroueh; Thanh V. Nguyen; Payel Das; Steven G. Johnson (CoRR, 2020)

A refined methodology for validation of information models derived from flowsheet data and applied to a genitourinary case. - Bonnie L. Westra; Kay Lytle; LuAnn Whittenburg; Mischa Adams; Samira Ali; Meg Furukawa; Stephanie Hartleben; Mary L. Hook; Steven G. Johnson; Sarah Collins Rossetti; Theresa (Tess) Settergren (J. Am. Medical Informatics Assoc., 2020)

Modified discrete Laguerre polynomials for efficient computation of exponentially bounded Matsubara sums. - Guanpeng Xu; Steven G. Johnson (CoRR, 2021)

Notes on Perfectly Matched Layers (PMLs). - Steven G. Johnson (CoRR, 2021)

Physics-enhanced deep surrogates for PDEs. - Raphaël Pestourie; Youssef Mroueh; Chris Rackauckas; Payel Das; Steven G. Johnson (CoRR, 2021)

Physics-Informed Neural Networks with Hard Constraints for Inverse Design. - Lu Lu 010; Raphaël Pestourie; Wenjie Yao; Zhicheng Wang; Francesc Verdugo; Steven G. Johnson (SIAM J. Sci. Comput., 2021)

Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport. - Lu Lu 010; Raphaël Pestourie; Steven G. Johnson; Giuseppe Romano (CoRR, 2022)

Inverse-Designed Meta-Optics with Spectral-Spatial Engineered Response to Mimic Color Perception. - Chris Munley; Wenchao Ma; Johannes E. Fröch; Quentin A. A. Tanguy; Elyas Bayati; Karl F. Böhringer; Zin Lin; Raphaël Pestourie; Steven G. Johnson; Arka Majumdar (CoRR, 2022)

Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski: A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative. - Elena Casiraghi; Rachel Wong; Margaret Hall; Ben D. Coleman; Marco Notaro; Michael D. Evans; Jena S. Tronieri; Hannah Blau; Bryan Laraway; Tiffany J. Callahan; Lauren E. Chan; Carolyn T. Bramante; et al. (CoRR, 2022)

∂PV: An end-to-end differentiable solar-cell simulator. - Sean Mann; Eric Fadel; Samuel S. Schoenholz; Ekin D. Cubuk; Steven G. Johnson; Giuseppe Romano (Comput. Phys. Commun., 2022)

Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset. - Katie R. Bradwell; Jacob T. Wooldridge; Benjamin R. C. Amor; Tellen D. Bennett; Adit Anand; Carolyn Bremer; Yun Jae Yoo; Zhenglong Qian; Steven G. Johnson; Emily R. Pfaff; Andrew T. Girvin; Amin Manna; et al. (J. Am. Medical Informatics Assoc., 2022)

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. - Emily R. Pfaff; Andrew T. Girvin; Davera Gabriel; Kristin Kostka; Michele Morris; Matvey B. Palchuk; Harold P. Lehmann; Benjamin R. C. Amor; Mark Bissell; Katie R. Bradwell; Sigfried Gold; Stephanie S. Hong; et al. (J. Am. Medical Informatics Assoc., 2022)

Promoting Learning Health System Cycles by Optimizing EHR Data Clinical Concept Encoding Processes. - Piper Ranallo; Bronwyn Southwell; Christopher J. Tignanelli; Steven G. Johnson; Richard Krueger; Tess Sevareid-Groth; Adam Carvel; Genevieve B. Melton (MedInfo, 2023)

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. - Elena Casiraghi; Rachel Wong; Margaret Hall; Ben D. Coleman; Marco Notaro; Michael D. Evans; Jena S. Tronieri; Hannah Blau; Bryan Laraway; Tiffany J. Callahan; Lauren E. Chan; Carolyn T. Bramante; et al. (J. Biomed. Informatics, 2023)

Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature. - Ann M. Wieben; Rachel Lane Walden; Bader G. Alreshidi; Sophia F. Brown; Kenrick Cato; Cynthia Peltier Coviak; Christopher Cruz; Fabio D'Agostino; Brian J. Douthit; Thompson H. Forbes; Grace Gao; Steven G. Johnson; et al. (Appl. Clin. Inform., 2023)

Physics-enhanced deep surrogates for partial differential equations. - Raphaël Pestourie; Youssef Mroueh; Chris Rackauckas; Payel Das; Steven G. Johnson (Nat. Mac. Intell., 2023)

The Relationship Between Patient Perceived Pain and the Numerical Rating System: A Prospective Validation Using Electronic Health Record Data. - Lisiane Pruinelli; Minh Nguyen; Nicholas Stalter; Steven G. Johnson; György J. Simon; Stuart M. Speedie; Sisi Ma (Nursing Informatics, 2024)

Matrix Calculus (for Machine Learning and Beyond). - Paige Bright; Alan Edelman; Steven G. Johnson (CoRR, 2025)

Efficient Calculation of Modified Bessel Functions of the First Kind, Iν(z), for Real Orders and Complex Arguments: Fortran Implementation with Double and Quadruple Precision. - Mofreh R. Zaghloul; Steven G. Johnson (CoRR, 2025)