High Performance Computational Chemistry: NWChem and Fully Distributed Parallel Applications. - Martyn F. Guest; Edoardo Aprà; David E. Bernholdt; Herbert A. Früchtl; Robert J. Harrison; Ricky A. Kendall; R. A. Kutteh; X. Long; John B. Nicholas; Jeffrey A. Nichols; H. L. Taylor; Adrian T. Wong; et al. (PARA, 1995)

High-performance computing in chemistry: NW Chem. - Martyn F. Guest; Edoardo Aprà; David E. Bernholdt; Herbert A. Früchtl; Robert J. Harrison; Ricky A. Kendall; R. A. Kutteh; X. Long; John B. Nicholas; Jeffrey A. Nichols; H. L. Taylor; Adrian T. Wong; et al. (Future Gener. Comput. Syst., 1996)

A modern solver interface to manage solution algorithms in the Community Earth System Model. - Katherine J. Evans; Andrew G. Salinger; Patrick H. Worley; Stephen F. Price; William H. Lipscomb; Jeffrey A. Nichols; James B. White III; Mauro Perego; Mariana Vertenstein; James Edwards 001; Jean-François Lemieux (Int. J. High Perform. Comput. Appl., 2012)

A computational framework for spatially explicit agroecosystem modeling: Application to regional simulation. - Dali Wang; Shujiang Kang; Jeffrey A. Nichols; Wilfred M. Post; S. Liu; Z. Zhao (J. Comput. Sci., 2013)

Development of mpi_EPIC model for global agroecosystem modeling. - Shujiang Kang; Dali Wang; Jeffrey A. Nichols; Joseph Schuchart; K. L. Kline; Yaxing Wei; Daniel M. Ricciuto; Stan D. Wullschleger; Wilfred M. Post; Roberto César Izaurralde (Comput. Electron. Agric., 2015)

Security Resilience: Exploring Windows Domain-Level Defenses Against Post-Exploitation Authentication Attacks. - Jeffrey A. Nichols; Benjamin A. Taylor; Laura Curtis (CISRC, 2016)

Malware Detection on General-Purpose Computers Using Power Consumption Monitoring: A Proof of Concept and Case Study. - Jarilyn M. Hernández Jiménez; Jeffrey A. Nichols; Katerina Goseva-Popstojanova; Stacy J. Prowell; Robert A. Bridges (CoRR, 2017)

Early experiences on Summit: Data analytics and AI applications. - David E. Womble; Mallikarjun Shankar; Wayne Joubert; J. Travis Johnston; Jack C. Wells; Jeffrey A. Nichols (IBM J. Res. Dev., 2019)

Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection. - Robert A. Bridges; Sean Oesch; Miki E. Verma; Michael D. Iannacone; Kelly M. T. Huffer; Brian Jewell; Jeffrey A. Nichols; Brian Weber; Justin M. Beaver; Jared M. Smith; Daniel Scofield; Craig Miles; et al. (CoRR, 2020)

Assembling a Cyber Range to Evaluate Artificial Intelligence / Machine Learning (AI/ML) Security Tools. - Jeffrey A. Nichols; Kevin D. Spakes; Cory L. Watson; Robert A. Bridges (CoRR, 2022)

AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors. - Robert A. Bridges; Brian Weber; Justin M. Beaver; Jared M. Smith; Miki E. Verma; Savannah Norem; Kevin D. Spakes; Cory L. Watson; Jeffrey A. Nichols; Brian Jewell; Michael D. Iannacone; Chelsey Dunivan Stahl; et al. (IEEE Big Data, 2023)

Beyond the Hype: An Evaluation of Commercially Available Machine Learning-based Malware Detectors. - Robert A. Bridges; Sean Oesch; Michael D. Iannacone; Kelly M. T. Huffer; Brian Jewell; Jeffrey A. Nichols; Brian Weber; Miki E. Verma; Daniel Scofield; Craig Miles; Thomas Plummer; Mark Daniell; et al. (DTRAP, 2023)

Testing SOAR tools in use. - Robert A. Bridges; Ashley E. Rice; Sean Oesch; Jeffrey A. Nichols; Cory L. Watson; Kevin D. Spakes; Savannah Norem; Mike Huettel; Brian Jewell; Brian Weber; Connor Gannon; Olivia Bizovi; et al. (Comput. Secur., 2023)