Steven G. Johnson

According to our database, Steven G. Johnson authored at least 46 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Physics-enhanced deep surrogates for partial differential equations.

Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson

Nat. Mac. Intell., December, 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, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins

J. Biomed. Informatics, March, 2023

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

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

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, Johanna Loomba, Amin Manna, Julie A. McMurry, Emily Niehaus, Nabeel Qureshi, Anita Walden, Xiaohan Tanner Zhang, Richard L. Zhu, Richard A. Moffitt, Christopher G. Chute, William G. Adams, Shaymaa Al-Shukri, Alfred Anzalone, Ahmad Baghal, Tellen D. Bennett, Elmer V. Bernstam, Mark M. Bissell, Brian Bush, Thomas R. Campion Jr., Victor Castro, Jack Chang, Deepa D. Chaudhari, Wenjin Chen, San Chu, James J. Cimino, Keith A. Crandall, Mark Crooks, Sara J. Deakyne Davies, John Dipalazzo, David A. Dorr, Dan Eckrich, Sarah E. Eltinge, Daniel G. Fort, George Golovko, Snehil Gupta, Melissa A. Haendel, Janos G. Hajagos, David A. Hanauer, Brett M. Harnett, Ronald Horswell, Nancy Huang, Steven G. Johnson, Michael Kahn, Kamil Khanipov, Curtis Kieler, Katherine Ruiz De Luzuriaga, Sarah E. Maidlow, Ashley Martinez, Jomol Mathew, James C. McClay, Gabriel McMahan, Brian Melancon, Stéphane M. Meystre, Lucio Miele, Hiroki Morizono, Ray Pablo, Lav P. Patel, Jimmy Phuong, Daniel J. Popham, Claudia P. Pulgarin, Carlos Santos, Indra Neil Sarkar, Nancy Sazo, Soko Setoguchi, Selvin Soby, Sirisha Surampalli, Christine Suver, Uma Maheswara Reddy Vangala, Shyam Visweswaran, James von Oehsen, Kellie M. Walters, Laura K. Wiley, David A. Williams, Adrian H. Zai

J. Am. Medical Informatics Assoc., 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, Emily Niehaus, Stephanie S. Hong, Xiaohan Tanner Zhang, Richard L. Zhu, Mark Bissell, Nabeel Qureshi, Joel H. Saltz, Melissa A. Haendel, Christopher G. Chute, Harold P. Lehmann, Richard A. Moffitt

J. Am. Medical Informatics Assoc., 2022

∂<i>PV</i>: 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

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, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins

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

Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport.

Lu Lu, Raphaël Pestourie, Steven G. Johnson, Giuseppe Romano

CoRR, 2022

2021

Physics-Informed Neural Networks with Hard Constraints for Inverse Design.

Lu Lu, Raphaël Pestourie, Wenjie Yao, Zhicheng Wang, Francesc Verdugo, Steven G. Johnson

SIAM J. Sci. Comput., 2021

Physics-enhanced deep surrogates for PDEs.

Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson

CoRR, 2021

Notes on Perfectly Matched Layers (PMLs).

Steven G. Johnson

CoRR, 2021

Physics-informed neural networks with hard constraints for inverse design.

Lu Lu, Raphaël Pestourie, Wenjie Yao, Zhicheng Wang, Francesc Verdugo, Steven G. Johnson

CoRR, 2021

Modified discrete Laguerre polynomials for efficient computation of exponentially bounded Matsubara sums.

Guanpeng Xu, Steven G. Johnson

CoRR, 2021

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

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

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

2019

Accurate solar-power integration: Solar-weighted Gaussian quadrature.

Steven G. Johnson

CoRR, 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

Proceedings of the AMIA 2019, 2019

Machine Learned Mapping of Local EHR Flowsheet Data to Standard Information Models using Topic Model Filtering.

Steven G. Johnson, Lisiane Pruinelli, Bonnie L. Westra

Proceedings of the AMIA 2019, 2019

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, Theresa (Tess) Settergren, Kathryn Westman, LuAnn Whittenburg

Appl. Clin. Inform., 2018

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

Proceedings of the AMIA 2018, 2018

2017

Quantifying the Effect of Data Quality on the Validity of an eMeasure.

Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra

Appl. Clin. Inform., 2017

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

Proceedings of the Summit on Clinical Research Informatics, 2017

2016

Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data.

Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra, Steven G. Johnson

Appl. Clin. Inform., 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

Proceedings of the Summit on Clinical Research Informatics, 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

Proceedings of the Summit on Clinical Research Informatics, 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

Proceedings of the AMIA 2016, 2016

Quantifying the Effect of Data Quality on the Correctness of an eMeasure.

Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra

Proceedings of the AMIA 2016, 2016

2015

A Data Quality Ontology for the Secondary Use of EHR Data.

Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra

Proceedings of the AMIA 2015, 2015

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

Proceedings of the AMIA 2015, 2015

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

Proceedings of the AMIA 2014, 2014

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

Proceedings of the AMIA 2014, 2014

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

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

Proceedings of the AMIA 2013, 2013

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

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

2010

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

2008

Type-II/III DCT/DST algorithms with reduced number of arithmetic operations.

Xuancheng Shao, Steven G. Johnson

Signal Process., 2008

Type-IV DCT, DST, and MDCT algorithms with reduced numbers of arithmetic operations.

Xuancheng Shao, Steven G. Johnson

Signal Process., 2008

2007

A Modified Split-Radix FFT With Fewer Arithmetic Operations.

Steven G. Johnson, Matteo Frigo

IEEE Trans. Signal Process., 2007

Comments on "Split Manageable Efficient Algorithm for Fourier and Hadamard Transforms".

Matteo Frigo, Steven G. Johnson

IEEE Trans. Signal Process., 2007

2006

Comments on "Method of flow graph simplification for the 16-point discrete Fourier Transform".

Steven G. Johnson, Matteo Frigo

IEEE Trans. Signal Process., 2006

2005

The Design and Implementation of FFTW3.

Matteo Frigo, Steven G. Johnson

Proc. IEEE, 2005

2001

Molding the flow of light.

Steven G. Johnson, Attila Mekis, Shanhui Fan, John D. Joannopoulos

Comput. Sci. Eng., 2001

1998

FFTW: an adaptive software architecture for the FFT.

Matteo Frigo, Steven G. Johnson

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998