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Harten, P., T. Martin, M. Gonzalez, AND D. Young. The software tool to find greener solvent replacements, PARIS III. Environmental Progress & Sustainable Energy. American Institute of Chemical Engineers, New York, NY, 39(1):13331, (2020). https://doi.org/10.1002/ep.13331

Young, D. Emerging Materials & Technologies Research Area within EPA’s ORD. State Risk Assessors' Quarterly Meeting, Cincinnati, OH, July 16, 2019.

Young, D. ORD’s Emerging Materials & Technologies Research Area. OLEM's Human Health Regional Risk Assessor's Forum, Cincinnati, OH, May 16, 2019.

Martin, T., D. Young, CrystalR Jackson, AND M. Barron. Comparison of Global and Mode of Action-Based Models for Aquatic Toxicity. Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, 26(3):245-262, (2015).

Martin, T. M., Chris M. Grulke, D. M. Young, C. L. Russom, N. Y. Wang, C. R. Jackson, AND M. G. Barron. Prediction of aquatic toxicity mode of action using linear discriminant and random forest models. Journal of Chemical Information and Modeling. ACS Publications, Washington, DC, 53(9):2229-2239, (2013).

Young, D. M., T. Hawkins, W. Ingwersen, S. Lee, G. Ruiz-Mercado, D. Sengupta, AND R. L. Smith. Designing Sustainable Supply Chains (Journal Article). Chemical Engineering Transactions. AIDIC, Italian Association of Chemical Engineering, Milano, Italy, 29:253-258, (2012).

Martin, T. M., P. Harten, D. M. Young, E. N. Muratov, A. Golbraikh, H. Zhu, AND A. Tropsha. Does Rational Selection of Training and Test Sets Improve the Outcome of QSAR Modeling? Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, 52(10):2570-2578, (2012).

MARTIN, T. M. AND D. M. YOUNG. Environmental Optimization Using the WAste Reduction Algorithm (WAR). U.S. Environmental Protection Agency, Washington, DC, EPA/600/F-11/027, 2012.

Hukkerikar, A. S., S. Kalakul, B. Sarup, D. M. Young, G. Sin, AND R. Gani. Estimation of Environment-Related Properties of Chemicals for Design of Sustainable Processes: Development of Group-Contribution+ (GC+) Property Models and Uncertainty Analysis. Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, 52(11):2823-2839, (2012).

Martin, T., P. Harten, AND D. Young. TEST (Toxicity Estimation Software Tool) Ver 4.1. U.S. Environmental Protection Agency, Washington, DC, EPA/600/C-12/006, 2012.

Sushko, I., S. Novotarskyi, R. Körner, A. Pandey, A. Cherkasov, J. Li, P. Gramatica, K. Hansen, T. Schroeter, K. Mueller, L. Xi, H. Liu, X. Yao, T. Öberg, F. Hormozdiari, Dao, C. Sahinalp, R. Todeschini, P. Polishchuk, A. Artemenko, V. Kuz'min, T. M. MARTIN, D. M. YOUNG, D. Fourches, E. Muratov, A. Tropsha, I. Baskin, D. Horvath, G. Marcou, C. Muller, A. Varnek, V. V. Prokopenko, AND I. V. Tetko. Applicability domains for classification problems: benchmarking of distance to models for AMES mutagenicity set. Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, 50(12):2094-2111, (2010).

Zhu, H., A. Tropsha, T. M. MARTIN, AND D. M. YOUNG. Consensus Modeling of Oral Rat Acute Toxicity. Presented at QSAR 2010 Workshop, Montreal, QC, CANADA, May 24 - 28, 2010.

YOUNG, D. M. Designing Sustainable Supply Chains for Biofuels. Presented at University of Cincinnati, Cincinnati, OH, June 04, 2010.

MARTIN, T. M. AND D. M. YOUNG. Prediction of Solvent Physical Properties using the Hierarchical Clustering Method. Presented at 2010 Fall ACS Meeting, Boston, MA, August 22 - 26, 2010.

Cassano, A., A. Manganaro, T. M. MARTIN, D. M. YOUNG, N. Piclin, M. Pintore, D. Bigoni, AND E. Benfenati. The CAESAR models for developmental toxicity. Chemistry Central Journal. BioMed Central Ltd, London, Uk, 4(Suppl 1):S4, (2010).

YOUNG, D. M. The Toxicity Estimation Software Tool (T.E.S.T.). Presented at New England Green Chemistry Networking Forum , Boston, MA, December 16, 2010.

Zhu, H., T. M. MARTIN, L. Ye, D. M. YOUNG, AND A. Tropsha. Combinatorial QSAR Modeling of Rat Acute Toxicity by Oral Exposure. Presented at Socity of Toxicology Annual Meeting, Baltimore, MD, March 15 - 19, 2009.

Zhu, H., T. M. MARTIN, L. Ye, A. Sedykh, D. M. YOUNG, AND A. Tropsha. Quantitative Structure--Activity Relationship Modeling of Rat Acute Toxicity by Oral Exposure. CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, 22(12):1913-1921, (2009).

MOUDGAL, C., D. M. YOUNG, T. NICHOLS, T. M. MARTIN, P. F. HARTEN, R. VENKATAPATHY, G. N. STELMA, S. Siddhanti, AND C. Baier-Anderson. Report of the Workshop on the Application of QSARs and VFARs to the Rapid Risk Assessment Process at NHSRC and NRMRL. July 2008, SAR AND QSAR IN ENVIRONMENTAL RESEARCH. Taylor & Francis, Inc., Philadelphia, PA, 19(5 & 6):579-587, (2009).

MARTIN, T. M., P. F. HARTEN, R. Venkataphy, S. Das, AND D. M. YOUNG. A Hierarchical Clustering Methodology for the Estimation of Toxicity. DOI: 10.1080/1537651, R. Dixit, L.G. Valerio, C. Palmeira, D. Ghosh (ed.), Toxicology Mechanisms and Methods. Taylor & Francis, Inc., Philadelphia, PA, 18(2):251-266, (2008).

YOUNG, D. M., T. M. MARTIN, R. Venkatapathy, AND P. HARTEN. Are the Chemical Structures in your QSAR Correct? QSAR & COMBINATORIAL SCIENCE. John Wiley & Sons, Ltd., Indianapolis, IN, 27(11):1337-1345, (2008).

ACHESON, C. M., M. MILLS, STEVE HUTCHINS, T. M. MARTIN, G. D. SAYLES, K. M. SCHENCK, AND D. M. YOUNG. ENDOCRINE DISRUPTING CHEMICAL RISK MANAGEMENT RESEARCH IN THE US EPA'S OFFICE OF RESEARCH AND DEVELOPMENT. Presented at American Institute Of Chemical Engineers (AIChE) Annual Meeting, Philadelphia, PA, November 17 - 21, 2008.

MARTIN, T. M., P. F. HARTEN, V. Raghuraman, AND D. M. YOUNG. Estimation of Carcinogenicity using Hierarchical Clustering and Nearest Neighbor Methodologies. Presented at Scarlet Cancer Workshop, Milan, ITALY, April 02 - 04, 2008.

MARTIN, T. M., P. F. HARTEN, R. VENKATAPATHY, AND D. M. YOUNG. Estimation of toxicity using a Java based software tool. Presented at 13th International Workshop on QSARs in the Environmental Sciences, Syracuse, NY, June 08 - 12, 2008.

YOUNG, D. M., T. M. MARTIN, P. F. HARTEN, R. VENKATAPATHY, AND S. DAS. DEVELOPMENT OF QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIPS (QSARS) TO PREDICT TOXICITY FOR A VARIETY OF HUMAN AND ECOLOGICAL ENDPOINTS. Presented at Society of Toxicology Annual Meeting, Charlotte, NC, March 25 - 29, 2007.