PUBLICATIONS

thinking

  1. Lee, M. Abdulhafez, M. Bedewy, “Data Analytics Enables Significant Improvement of Robustness in Chemical Vapor Deposition of Carbon Nanotubes Based on Vacuum Baking.” Industrial & Engineering Chemistry Research, vol. 58, no. 27, pp. 11999–2009, Jul. 2019, doi:1021/acs.iecr.9b01725.
  2. Hsinjin Edwin Yang, Roger H. French, and Laura S. Bruckman, Eds., Durability and Reliability of Polymers and Other Materials in Photovoltaic Modules, 1st ed., ser. Plastics Design Library. Amsterdam: Elsevier, William Andrew Applied Science Publishers, Jun. 2019.
  3. Yu Wang, Wei-Heng Huang, Andrew Fairbrother, Lucas S. Fridman, Alan J. Curran, Nicholas R. Wheeler, Sophie Napoli, Adam W. Hauser, Scott Julien, Xiaohong Gu, Gregory S. O‘Brien, Kai-Tak Wan, Liang Ji, Kenneth P. Boyce, Michael D. Kempe, Roger H. French, and Laura S. Bruckman, “Generalized Spatio-Temporal Model of Backsheet Degradation from Field Surveys of Photovoltaic Modules,” Journal of Photovoltaics, 2019, (submitted).
  4. Yang Hu and Roger H. French, “Degradation and Failure Mechanisms of PV Module Interconnects,” in Durability and Reliability of Polymers and Other Materials in Photovoltaic Modules, 1st ed., ser. Plastics Design Library, Hsinjin Edwin Yang, Roger H. French, and Laura S. Bruckman, Eds. Amsterdam: Elsevier, William Andrew Applied Science Publishers, Jun. 2019, pp. 119–134.
  5. Xuan Ma, Wei-Heng Huang, Erdmut Schnabel, Michael Köhl, Jenný Brynjarsdóttir, Jennifer L. Braid, and Roger H. French, “Data-driven I -V Feature Extraction for Photo- voltaic Modules,” Journal of Photovoltaics, 2019, (submitted).
  6. A. Verma, W.-H. Huang, J. A. Hawk, L. S. Bruckman, R. H. French, V. Romanov, and J. L. W. Carter, “Screening of heritage data for improving toughness of creep-resistant martensitic steels,” Materials Science and Engineering: A, vol. 763, p. 138142, Aug. 2019, doi: 10.1016/j.msea.2019.138142.
  7. A. Verma, J. A. Hawk, L. S. Bruckman, R. H. French, V. Romanov, and J. L. W. Carter, “Mapping Multivariate Influence of Alloying Elements on Creep Behavior for Design of New Martensitic Steels,” Metallurgical and Materials Transactions A, vol. 50, no. 7, pp. 3106–3120, Jul. 2019, doi: 10.1007/s11661-019-05234-9.
  8. N. Romanov, N. Krishnamurthy, A. K. Verma, L. S. Bruckman, R. H. French, J. L. W. Carter, and J. A. Hawk, “Materials data analytics for 9% Cr family steel,” Statistical Analysis and Data Mining: The ASA Data Science Journal, vol. 0, no. 0, Feb. 2019, doi: 10.1002/sam.11406.
  9. Dee, M. Bedewy, A. Rao, J. Beroz, B. Lee, E. R. Meshot, C. A. C. Chazot, P. R. Kidambi, H. Zhao, T. Serbowiz, K. Teichert, P. K. Purohit, J. A. Hart, “In Situ Mechanochemical Modulation of Carbon Nanotube Forest Growth.” Chemistry of Materials, vol. 31, no. 2, Jan. 2019, pp. 407–18. ACS Publications, doi:10.1021/acs.chemmater.8b03627.
  10. Haghanifar, M. McCourt, B. Cheng, J. Wuenschell, P. Ohodnicki, and P. W. Leu, “Creating glasswing butterfly-inspired durable antifogging superomniphobic supertransmissive, superclear nanostructured glass through Bayesian learning and optimization,” Materials Horizons, Jun. 2019, doi: 10.1039/C9MH00589G.
  11. L. Braid and R. H. French, “Overview: Power Degradation and Failure of PV Systems,” in Durability and Reliability of Polymers and Other Materials in Photovoltaic Modules, 1st ed., ser. Plastics Design Library, H. E. Yang, R. H. French, and L. S. Bruckman, Eds. Amsterdam: Elsevier, William Andrew Applied Science Publishers, Jun. 2019, pp. 1–22, doi: 10.1016/B978-0-12-811545-9.00001-X.
  12. A. Karimi, J. S. Fada, M. A. Hossain, S. Yang, T. J. Peshek, J. L. Braid, and R. H. French, “Automated Pipeline for Photovoltaic Module Electroluminescence Image Processing and Degradation Feature Classification,” IEEE Journal of Photovoltaics, pp. 1–12, Jun. 2019, doi: 10.1109/JPHOTOV.2019.2920732.
  13. Abdulkerim Gok, Devin A. Gordon, Menghong Wang, Roger H. French, and Laura S. Bruckman, “Degradation Science of, and Pathways in, PV Systems,” in Durability and Reliability of Polymers and Other Materials in Photovoltaic Modules, 1st ed., ser. Plastics Design Library, Hsinjin Edwin Yang, Roger H. French, and Laura S. Bruckman, Eds. Amsterdam: Elsevier, William Andrew Applied Science Publishers, Jun. 2019, pp. 47–94, doi: 1016/C2016-0-01032-X.
  14. He, L. M. Maillart, and O. A. Prokopyev, “Optimal sequencing of heterogeneous, non-instantaneous interventions,” Annals of Operations Research, vol. 276, no. 1, pp. 109–135, May. 2019, doi: 10.1007/s10479-018-2813-3.
  15. Haghanifar, L. M Tomasovic, A. J Galante, D. Pekker, and P. W. Leu, “Stain-Resistant, Superomniphobic Flexible Optical Plastics Based on Nano-Enoki Mushrooms,” Journal of Materials Chemistry A, May. 2019, doi: 10.1039/C9TA01753D.
  16. A. Gordon, Z. Zhan, and L. S. Bruckman, “Characterizing the weathering induced degradation of Poly(ethylene-terephthalate) using PARAFAC modeling of fluorescence spectra,” Polymer Degradation and Stability, vol. 161, pp. 85–94, Mar. 2019, doi: 10.1016/j.polymdegradstab.2019.01.006.
  17. AGok, D. A. Gordon, D. M. Burns, S. P. Fowler, R. H. French, and L. S. Bruckman, “Reciprocity and spectral effects of the degradation of poly(ethylene-terephthalate) under accelerated weathering exposures,” Journal of Applied Polymer Science, vol. 136, no. 22, p. 47589, Mar. 2019, doi: 1002/app.47589.
  18. AGok, C. L. Fagerholm, R. H. French, and L. S. Bruckman, “Temporal evolution and pathway models of poly(ethylene-terephthalate) degradation under multi-factor accelerated weathering exposures,” PLOS ONE, vol. 14, no. 2, p. e0212258, Feb. 2019, doi: 10.1371/journal.pone.0212258.
  19. E. Gaunt, S. Iyengar, A. B. Olde Daalhuis, and B. Simsek, “An asymptotic expansion for the normalizing constant of the Conway–Maxwell–Poisson distribution,” Annals of the Institute of Statistical Mathematics, vol. 71, no. 1, pp. 163–180, Feb. 2019, doi: 10.1007/s10463-017-0629-6.
  20. S. Bruckman, “Transformative Opportunities from Data Science and Big Data Analytics: Applied to Photovoltaics,” The Electrochemical Society Interface, vol. 28, no. 1, pp. 57–61, Jan. 2019, doi: 10.1149/2.F07191if.
  21. AMostafaei, P. Rodriguez De Vecchis, I. Nettleship, and M. Chmielus, “Effect of powder size distribution on densification and microstructural evolution of binder-jet 3d-printed alloy 625,” Materials & Design, vol. 162, pp. 375–383, Jan. 2019, doi: 1016/j.matdes.2018.11.051.
  22. A. Verma, J. A. Hawk, L. S. Bruckman, R. H. French, V. Romanov, and J. L. W. Carter, “Mapping Multivariate Influence of Alloying Elements on Creep Behavior for Design of New Martensitic Steels,” Metallurgical and Materials Transactions A, Apr. 2019, doi: 10.1007/s11661-019-05234-9.
  23. Dee, N.T., Bedewy, M., Rao, A., Beroz, J., Lee, B., Meshot, E.R., Chazot, C.A.C., Kidambi, P.R., Zhao, H., Serbowicz, T., Teichert, K., Purohit, P.K., Hart, A.J., 2019. In Situ Mechanochemical Modulation of Carbon Nanotube Forest Growth. vol. 31, pp. 407–418, Jan. 2019, doi: 1021/acs.chemmater.8b03627.
  24. Zhao, and D. W. Rosen. “An Implementation of Real-Time Feedback Control of Cured Part Height in Exposure Controlled Projection Lithography with in-Situ Interferometric Measurement Feedback.” Additive Manufacturing, vol. 23, pp. 253-263, Oct. 2018, doi: https://doi.org/10.1016/j.addma.2018.07.016.
  25. L. Wallace, D. J. Buysse, A. Germain, M. H. Hall, and S. Iyengar, “Variable Selection for Skewed Model-Based Clustering: Application to the Identification of Novel Sleep Phenotypes,” Journal of the American Statistical Association, vol. 113, no. 521, pp. 95–110, Jan. 2018, doi: 10.1080/01621459.2017.1330202.
  26. Stevens, S. Schloder, E. Bono, D. Schmidt, and M. Chmielus, “Density variation in binder jetting 3d-printed and sintered Ti-6al-4v,” Additive Manufacturing, vol. 22, pp. 746–752, Aug. 2018, doi: 10.1016/j.addma.2018.06.017.
  27. Sajad Haghanifar, Ping Lu, Md Imrul Kayes, Susheng Tan, Ki-Joong Kim, Tongchuan Gao, Paul Ohodnicki, and Paul W. Leu, “Self-cleaning, high transmission, near unity haze OTS/silica nanostructured glass, Journal of Materials Chemistry C, 34, Aug. 2018, doi: 10.1039/C8TC02513D.
  28. Ren, Y. Kang, Y. Fan, and J. Lv, “Tuning-Free Heterogeneous Inference in Massive Networks,” Journal of the American Statistical Association, pp. 1–34, Dec. 2018, doi: 10.1080/01621459.2018.1537920.
  29. M. Pickering, M. A. Hossain, R. H. French, and A. R. Abramson, “Building electricity consumption: Data analytics of building operations with classical time series decomposition and case based subsetting,” Energy and Buildings, vol. 177, pp. 184–196, Oct. 2018, doi: 10.1016/j.enbuild.2018.07.056.
  30. Nishan Senanayake, Yoona Yang, Roger H. French, Anand Jagota, and Jennifer L.W. Carter, “An Automated Technique to Analyze Micro Indentation Load – Displacement Curve,” in Society of Experimental Mechanics, 2018.
  31. Cho, M. Abdulhafez, M. E. Lee, H. Jin, M. Bedewy, “Promoting Helix-Rich Structure in Silk Fibroin Films through Molecular Interactions with Carbon Nanotubes and Selective Heating for Transparent Biodegradable Devices.” ACS Applied Nano Materials, vol. 1, no. 10, pp. 5441–50, Oct. 2018, doi:10.1021/acsanm.8b00784.
  32. -B. Nguyen, D. Liu, M. I. Kayes, B. Wang, N. Rashin, P. W. Leu, and T. Tran, “Critical heat flux enhancement in pool boiling through increased rewetting on nanopillar array surfaces,” Scientific Reports, vol. 8, no. 1, p. 4815, Mar. 2018, doi: 10.1038/s41598-018-22693-z.
  33. A. Mostafaei, C. Hilla, E. L. Stevens, P. Nandwana, A. M. Elliott, and M. O. Chmielus, “Comparison of characterization methods for differently atomized nickel-based alloy 625 powders,” Powder Technology, vol. 333, Apr. 2018, doi: 10.1016/j.powtec.2018.04.014.
  34. AMostafaei, S. H. V. R. Neelapu, C. Kisailus, L. M. Nath, T. D. B. Jacobs, and M. Chmielus, “Characterizing surface finish and fatigue behavior in binder-jet 3d-printed nickel-based superalloy 625,” Additive Manufacturing, vol. 24, pp. 200–209, Dec. 2018, doi: 1016/j.addma.2018.09.012.
  35. Liu, A. J. Curran, J. S. Fada, X. Ma, W. Huang, C. B. Jones, E. Schnabel, M. Kohl, J. L. Braid, and R. H. French, “Cross-correlation Analysis of the Indoor Accelerated and Real World Exposed Photovoltaic Systems Across Multiple Climate Zones,” in 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC 34th EU PVSEC), Jun. 2018, pp. 3949–3954, doi: 10.1109/PVSC.2018.8547840.
  36. A. Klinke, A. Gok, S. I. Ifeanyi, and L. S. Bruckman, “A non-destructive method for crack quantification in photovoltaic backsheets under accelerated and real-world exposures,” Polymer Degradation and Stability, vol. 153, pp. 244–254, Jul. 2018, doi: 10.1016/j.polymdegradstab.2018.05.008.
  37. I. Kayes, A. J. Galante, N. A. Stella, S. Haghanifar, R. M. Q. Shanks, and P. W. Leu, “Stable lotus leaf-inspired hierarchical, fluorinated polypropylene surfaces for reduced bacterial adhesion,” Reactive and Functional Polymers, vol. 128, pp. 40–46, Jul. 2018, doi: 10.1016/j.reactfunctpolym.2018.04.013.
  38. Hooker and L. Mentch, “Bootstrap bias corrections for ensemble methods,” Statistics and Computing, vol. 28, no. 1, pp. 77–86, Jan. 2018, doi: 10.1007/s11222-016-9717-3.
  39. Haghanifar, R. T. R. D. Vecchis, K.-J. Kim, J. Wuenschell, S. P. Sharma, P. Lu, P. Ohodnicki, and P. W. Leu, “Flexible nanograss with highest combination of transparency and haze for optoelectronic plastic substrates,” Nanotechnology, vol. 29, no. 42, p. 42LT01, Aug. 2018, doi: 10.1088/1361-6528/aad671.
  40. A. Gordon, W.-H. Huang, D. M. Burns, R. H. French, and L. S. Bruckman, “Multivariate multiple regression models of poly(ethylene-terephthalate) film degradation under outdoor and multi-stressor accelerated weathering exposures,” PLOS ONE, vol. 13, no. 12, p. e0209016, Dec. 2018, doi: 10.1371/journal.pone.0209016.
  41. Haghanifar, R. T. R. D. Vecchis, K.-J. Kim, J. Wuenschell, S. P. Sharma, P. Lu, P. Ohodnicki, and P. W. Leu, “Flexible nanograss with highest combination of transparency and haze for optoelectronic plastic substrates,” Nanotechnology, vol. 29, no. 42, p. 42LT01, Aug. 2018, doi: 10.1088/1361-6528/aad671.
  42. P. Gillen, A. Veremyev, O. A. Prokopyev, and E. L. Pasiliao, “Critical arcs detection in influence networks,” Networks, vol. 71, no. 4, pp. 412–431, 2018, doi: 10.1002/net.21761.
  43. Gao, S. Haghanifar, M. G. Lindsay, P. Lu, M. I. Kayes, B. D. Pafchek, Z. Zhou, P. R. Ohodnicki, and P. W. Leu, “Fundamental Performance Limits and Haze Evaluation of Metal Nanomesh Transparent Conductors,” Advanced Optical Materials, vol. 6, no. 9, p. 1700829, 2018, doi: 10.1002/adom.201700829.
  44. AFairbrother, M. Boyd, Y. Lyu, J. Avenet, P. Illich, Y. Wang, M. Kempe, B. Dougherty, L. Bruckman, and X. Gu, “Differential degradation patterns of photovoltaic backsheets at the array level,” Solar Energy, vol. 163, pp. 62–69, Mar. 2018, doi: 1016/j.solener.2018.01.072.
  45. Chen, C. Gao, and Z. Ren, “Robust covariance and scatter matrix estimation under Huber’s contamination model,” The Annals of Statistics, vol. 46, no. 5, pp. 1932–1960, Oct. 2018, doi: 10.1214/17-AOS1607.
  46. L. Braid, A. J. Curran, J. Sun, E. J. Schneller, J. S. Fada, J. Liu, M. Wang, A. J. Longacre, J. Dai, B. D. Huey, K. O. Davis, J. Jaubert, L. S. Bruckman, and R. H. French, “EL and I-V Correlation for Degradation of PERC vs. Al-BSF Commercial Modules in Accelerated Exposures,” in 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), Jun. 2018, pp. 1261–1266, doi: 10.1109/PVSC.2018.8547420.
  47. AAtamtürk and A. Gómez, “Strong formulations for quadratic optimization with M-matrices and indicator variables,” Mathematical Programming, vol. 170, no. 1, pp. 141–176, Jul. 2018, doi: 1007/s10107-018-1301-5.
  48. Yang Hu, Venkat Yashwanth Gunapati, Pei Zhao, Devin Gordon, Nicholas R. Wheeler, Mohammad A. Hossain, Timothy J. Peshek, Laura S. Bruckman, Guo-Qiang Zhang, and Roger H. French, “A Nonrelational Data Warehouse for the Analysis of Field and Laboratory Data From Multiple Heterogeneous Photovoltaic Test Sites,” IEEE Journal of Photovoltaics, vol. 7, no. 1, pp. 230–236, Jan. 2017, doi: 1109/JPHOTOV.2016.2626919.
  49. A. Verma, R. H. French, and J. L. W. Carter, “Physics-Informed Network Models: a Data Science Approach to Metal Design,” Integrating Materials and Manufacturing Innovation, vol. 6, no. 4, pp. 279–287, Dec. 2017, doi: 10.1007/s40192-017-0104-5.
  50. Park, M. Bedewy, K. K. Berggren, A. E. Keating, “Modular Assembly of a Protein Nanotriangle Using Orthogonally Interacting Coiled Coils.” Scientific Reports, vol. 7, no. 1, pp. 1–10, Sept. 2017, doi: 10.1038/s41598-017-10918-6.
  51. Simsek and S. Iyengar, “On the Distribution of Photon Counts with Censoring in Two-Photon Laser Scanning Microscopy,” Journal of Mathematical Imaging and Vision, vol. 58, no. 1, pp. 47–56, May 2017, doi: 10.1007/s10851-016-0690-4.
  52. Zhao, and D. W. Rosen. “A Data Mining Approach in Real-Time Measurement for Polymer Additive Manufacturing Process with Exposure Controlled Projection Lithography.” Journal of Manufacturing Systems, High Performance Computing and Data Analytics for Cyber Manufacturing,  vol. 43,  pp. 271-286, Apr. 2017, doi: https://doi.org/10.1016/j.jmsy.2017.01.005.
  53. Sajad Haghanifar, Tongchuan Gao, Rafael T. Rodriguez De Vecchis, Bradley Pafchek, Tevis D. B. Jacobs, and Paul W. Leu, “Ultrahigh-transparency, ultrahigh-haze nanograss glass with fluid-induced switchable haze,” Optica, vol. 4, no. 12, pp. 1522–1525, 2017, doi: 1364/OPTICA.4.001522.
  54. AMostafaei, J. Toman, E. L. Stevens, E. T. Hughes, Y. L. Krimer, and M. Chmielus, “Microstructural evolution and mechanical properties of differently heat-treated binder jet printed samples from gas- and water-atomized alloy 625 powders,” Acta Materialia, vol. 124, pp. 280–289, Feb. 2017, doi: 1016/j.actamat.2016.11.021.
  55. Mentch and G. Hooker, “Formal Hypothesis Tests for Additive Structure in Random Forests,” Journal of Computational and Graphical Statistics, vol. 26, no. 3, pp. 589–597, Jul. 2017, doi: 10.1080/10618600.2016.1256817.
  56. Ma, Z. Ren, and G. C. Tseng, “Variable screening with multiple studies,” arXiv preprint arXiv:1710.03892, 2017.
  57. He, L. M. Maillart, and O. A. Prokopyev, “Optimal planning of unpunctual preventive maintenance,” IISE Transactions, vol. 49, no. 2, pp. 127–143, Feb. 2017, doi: 10.1080/0740817X.2016.1224959.
  58. AGok, D. K. Ngendahimana, C. L. Fagerholm, R. H. French, J. Sun, and L. S. Bruckman, “Predictive models of poly(ethylene-terephthalate) film degradation under multi-factor accelerated weathering exposures,” PLOS ONE, vol. 12, no. 5, p. e0177614, May 2017, doi: 1371/journal.pone.0177614.
  59. S. Fada, A. J. Loach, A. J. Curran, J. L. Braid, S. Yang, T. J. Peshek, and R. H. French, “Correlation of I-V Curve Parameters with Module-Level Electroluminescent Image Data Over 3000 Hours Damp-Heat Exposure,” in 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), Jun. 2017, pp. 2697–2701, doi: 10.1109/PVSC.2017.8366659.
  60. AAtamtürk and A. Gómez, “Simplex QP-based methods for minimizing a conic quadratic objective over polyhedra,” arXiv:1706.05795 [math], Jun. 2017, arXiv: 1706.05795.
  61. Zhao, and D. W. Rosen, “Real-Time Interferometric Monitoring and Measuring of Photopolymerization Based Stereolithographic Additive Manufacturing Process: Sensor Model and Algorithim,” Measurement Science and Technology, vol. 28, no. 1, pp. 015001/1-015001/17, Nov. 2016, doi: 10.1088/0957-0233/28/1/015001.
  62. J. Peshek, J. S. Fada, Y. Hu, Y. Xu, M. A. Elsaeiti, E. Schnabel, M. Köhl, and R. H. French, “Insights into metastability of photovoltaic materials at the mesoscale through massive I–V analytics,” Journal of Vacuum Science & Technology B, vol. 34, no. 5, p. 050801, Sep. 2016, doi: 10.1116/1.4960628.
  63. Mentch and G. Hooker, “Quantifying uncertainty in random forests via confidence intervals and hypothesis tests,” The Journal of Machine Learning Research, vol. 17, no. 1, pp. 841–881, 2016, arXiv: 1404.6473.
  64. Mehrmohamadi, L. K. Mentch, A. G. Clark, and J. W. Locasale, “Integrative modelling of tumour DNA methylation quantifies the contribution of metabolism,” Nature Communications, vol. 7, p. 13666, Dec. 2016, doi: 10.1038/ncomms13666.
  65. Balakrishnan, M. Bedewy, E. R. Meshot, S. W. Pattinson, E. S. Polsen, F. Laye, D. N. Zakharov, E. A. Stach, J. A. Hart, “Real-Time Imaging of Self-Organization and Mechanical Competition in Carbon Nanotube Forest Growth.” ACS Nano, vol. 10, no. 12, Dec. 2016, pp. 11496–504. ACS Publications, doi:1021/acsnano.6b07251.
  66. Laura S. Bruckman, Roger H. French, Yu Wang, Michael D. Kempe, Amy A. Lefebvre, Xiaohong Gu, Liang Ji, Kai-Tak Wan, and Christopher Flueckiger, “Cross-correlation of backsheet degradation between real-world exposed modules and accelerated exposures of backsheet materials (Conference Presentation), SPIE, 2016, doi: 10.1117/12.2238162.
  67. Karademir, O. A. Prokopyev, and R. J. Mailloux, “Irregular polyomino tiling via integer programming with application in phased array antenna design,” Journal of Global Optimization, vol. 65, no. 2, pp. 137–173, Jun. 2016, doi: 10.1007/s10898-015-0354-8.
  68. Justin S. Fada, Nicholas R. Wheeler, Davis Zabiyaka, Nikhil Goel, Timothy J. Peshek, and Roger H. French, “Democratizing an electroluminescence imaging apparatus and analytics project for widespread data acquisition in photovoltaic materials,” Review of Scientific Instruments, vol. 87, no. 8, p. 085109, Aug. 2016, doi: 1063/1.4960180.
  69. Hooker and L. Mentch, “Comments on: A random forest guided tour,” TEST, vol. 25, no. 2, pp. 254–260, Jun. 2016, doi: 10.1007/s11749-016-0485-3.
  70. Chen, C. Gao, and Z. Ren, “A general decision theory for Huber’s ϵ-contamination model,” Electronic Journal of Statistics, vol. 10, no. 2, pp. 3752–3774, 2016, doi: 10.1214/16-EJS1216.
  71. Bedewy, B. Vishwanath, E. R. Meshot, D. N. Zakharov, E. A. Stach, J. A. Hart, “Measurement of the Dewetting, Nucleation, and Deactivation Kinetics of Carbon Nanotube Population Growth by Environmental Transmission Electron Microscopy.” Chemistry of Materials, vol. 28, no. 11,  pp. 3804–13. ACS Publications, Jun. 2016, doi:10.1021/acs.chemmater.6b00798.
  72. Wang and P. W. Leu, “High index of refraction nanosphere coatings for light trapping in crystalline silicon thin film solar cells,” Nano Energy, vol. 13, pp. 226–232, Apr. 2015, doi: 10.1016/j.nanoen.2014.10.040.
  73. Ren, T. Sun, C.-H. Zhang, and H. H. Zhou, “Asymptotic normality and optimalities in estimation of large Gaussian graphical models,” The Annals of Statistics, vol. 43, no. 3, pp. 991–1026, Jun. 2015, doi: 10.1214/14-AOS1286.
  74. Mohamad Sleiman, Sharon Chen, Haley E. Gilbert, Thomas W. Kirchstetter, Paul Berdahl, Erica Bibian, Laura S. Bruckman, Dominic Cremona, Roger H. French, Devin A. Gordon, Marco Emiliani, Justin Kable, Liyan Ma, Milena Martarelli, Riccardo Paolini, Matthew Prestia, John Renowden, Gian Marco Revel, Olivier Rosseler, Ming Shiao, Giancarlo Terraneo, Tammy Yang, Lingtao Yu, Michele Zinzi, Hashem Akbari, Ronnen Levinson, and Hugo Destaillats, “Soiling of building envelope surfaces and its effect on solar reflectance – Part III: Interlaboratory study of an accelerated aging method for roofing materials,” Solar Energy Materials and Solar Cells, vol. 143, pp. 581–590, Dec. 2015, doi: 1016/j.solmat.2015.07.031.
  75. A. Hossain, Y. Xu, T. J. Peshek, L. Ji, A. R. Abramson, and R. H. French, “Microinverter thermal performance in the real-world: Measurements and modeling,” PloS one, vol. 10, no. 7, p. e0131279, 2015, doi: 10.1371/journal.pone.01312.
  76. Heather M. Mirletz, Kelly A. Peterson, Ina T. Martin, and Roger H. French, “Degradation of Transparent Conductive Oxides: Interfacial Engineering and Mechanistic Insights,” Solar Energy Materials and Solar Cells, vol. 143, pp. 529–538, Dec. 2015, doi: 1016/j.solmat.2015.07.030.
  77. He, L. M. Maillart, and O. A. Prokopyev, “Scheduling Preventive Maintenance as a Function of an Imperfect Inspection Interval,” IEEE Transactions on Reliability, vol. 64, no. 3, pp. 983–997, Sep. 2015, doi: 10.1109/TR.2015.2417153.
  78. Zhao, D.W. Rosen, “Parameter Estimation Based Real-Time Metrology for Exposure Controlled Projection Lithography,” Proceedings of the 26th Annual International Solid Free Form Fabrication Symposium, pp. 294-312, 2015.
  79. H. French, R. Podgornik, T. J. Peshek, L. S. Bruckman, Y. Xu, N. R. Wheeler, A. Gok, Y. Hu, M. A. Hossain, D. A. Gordon, P. Zhao, J. Sun, and G.-Q. Zhang, “Degradation science: Mesoscopic evolution and temporal analytics of photovoltaic energy materials,” Current Opinion in Solid State and Materials Science, vol. 19, no. 4, pp. 212–226, Aug. 2015, doi: 10.1016/j.cossms.2014.12.008.
  80. M. Dryden, J. C. Hopkins, L. K. Denoyer, L. Poudel, N. F. Steinmetz, W.-Y. Ching, R. Podgornik, A. Parsegian, and R. H. French, “van der Waals Interactions on the Mesoscale: Open-Science Implementation, Anisotropy, Retardation, and Solvent Effects,” Langmuir, vol. 31, no. 37, pp. 10145–10153, Sep. 2015, doi: 10.1021/acs.langmuir.5b00106.
  81. AVeremyev, O. A. Prokopyev, and E. L. Pasiliao, “An integer programming framework for critical elements detection in graphs,” Journal of Combinatorial Optimization, vol. 28, no. 1, pp. 233–273, Jul. 2014, doi: 1007/s10878-014-9730-4.
  82. R. Wheeler, Y. Xu, A. Gok, I. V. Kidd, L. S. Bruckman, J. Sun, and R. H. French, “Data science study protocols for investigating lifetime and degradation of PV technology systems,” in IEEE PVSC, vol. 40, Jun. 2014.
  83. Gao, B. Wang, B. Ding, J.-k. Lee, and P. W. Leu, “Uniform and Ordered Copper Nanomeshes by Microsphere Lithography for Transparent Electrodes,” Nano Letters, vol. 14, no. 4, pp. 2105–2110, Apr. 2014, 00020, doi: 10.1021/nl5003075.
  84. Anahita Kojandi, Lisa M. Maillart, and Oleg A. Prokopyev, “Optimal planning of life-depleting maintenance activities,” IIE Transactions, vol. 46, no. 7, pp. 636–652, Mar. 2014, doi: 1080/0740817X.2013.849835.
  85. G. Icten, S. M. Shechter, L. M. Maillart, and M. Nagarajan, “Optimal management of a limited number of replacements under Markovian deterioration,” IIE Transactions, vol. 45, no. 2, pp. 206–214, 2013, doi: 10.1080/0740817X.2012.679349.
  86. Bedewy, Mostafa, and A. John Hart. “Mechanical Coupling Limits the Density and Quality of Self-Organized Carbon Nanotube Growth.” Nanoscale, vol. 5, no. 7, pp. 2928–37. rsc.org, , Mar. 2013, doi:10.1039/C3NR34067H.
  87. Frepoli, K. Ohkawa, and S. Iyengar, “Theory and practice in the use of order statistics in best-estimate plus uncertainty safety analyses,” in Proceedings of the 15th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH15).(b)(4)(b)(4)(b)(4), 2013.
  88. S. Bruckman, N. R. Wheeler, J. Ma, E. Wang, C. K. Wang, I. Chou, J. Sun, and R. H. French, “Statistical and Domain Analytics Applied to PV Module Lifetime and Degradation Science,” IEEE Access, vol. 1, pp. 384–403, 2013, doi: 10.1109/ACCESS.2013.2267611.
  89. S. Bruckman, N. R. Wheeler, I. V. Kidd, J. Sun, and R. H. French, “Photovoltaic lifetime and degradation science statistical pathway development: acrylic degradation,” in Reliability of Photovoltaic Cells, Modules, Components, and Systems VI, vol. 8825. International Society for Optics and Photonics, Sep. 2013, p. 88250D, doi: 10.1117/12.2024717.
  90. Zhao, A. Batista, J. P. Cunningham, C. Chestek, Z. Rivera-Alvidrez, R. Kalmar, S. Ryu, K. Shenoy, and S. Iyengar, “An L1-regularized logistic model for detecting short-term neuronal interactions,” Journal of Computational Neuroscience, vol. 32, no. 3, pp. 479–497, Jun. 2012, doi: 10.1007/s10827-011-0365-5.
  91. Wang and P. W. Leu, “Tunable and selective resonant absorption in vertical nanowires,” Optics Letters, vol. 37, no. 18, pp. 3756–3758, Sep. 2012, doi: 10.1364/OL.37.003756.
  92. Bedewy, E. R. Meshot, J. A. Hart, “Diameter-Dependent Kinetics of Activation and Deactivation in Carbon Nanotube Population Growth.” Carbon, vol. 50, no. 14, pp. 5106–16, Nov. 2012, doi:1016/j.carbon.2012.06.051.
  93. Wang and P. W. Leu, “Enhanced absorption in silicon nanocone arrays for photovoltaics,” Nanotechnology, vol. 23, no. 19, p. 194003, Apr. 2012, doi: 10.1088/0957-4484/23/19/194003.
  94. P. Murray, L. S. Bruckman, and R. H. French, “Photodegradation in a stress and response framework: poly(methyl methacrylate) for solar mirrors and lens,” Journal of Photonics for Energy, vol. 2, no. 1, p. 022004, Nov. 2012, doi: 10.1117/1.JPE.2.022004.
  95. P. Murray, L. S. Bruckman, and R. H. French, “Durability of Materials in a Stress-Response Framework: Acrylic Materials for Photovoltaic Systems,” MRS Online Proceedings Library Archive, vol. 1391, 2012, doi: 10.1557/opl.2012.1241.
  96. Batun and L. M. Maillart, “Reassessing Tradeoffs Inherent to Simultaneous Maintenance and Production Planning,” Production and Operations Management, vol. 21, no. 2, pp. 396–403, 2012, doi: 10.1111/j.1937-5956.2011.01250.x.
  97. A. Trapp, F. Zink, O. A. Prokopyev, and L. Schaefer, “Thermoacoustic heat engine modeling and design optimization,” Applied Thermal Engineering, vol. 31, no. 14, pp. 2518–2528, Oct. 2011, doi: 10.1016/j.applthermaleng.2011.04.017.
  98. M. Maillart, T. G. Yeung, and Z. Gozde Icten, “Selecting test sensitivity and specificity parameters to optimally maintain a degrading system,” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, vol. 225, no. 2, pp. 131– 139, 2011, doi: 10.1177/1748007810395667.
  99. Bedewy, Mostafa, et al. “Population Growth Dynamics of Carbon Nanotubes.” ACS Nano, vol. 5, no. 11, pp. 8974–89, Nov. 2011, ACS Publications, doi: 1021/nn203144f.
  100. A. Z. Gebraeel, and L. M. Maillart, “Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors,” Operations Research, vol. 59, no. 3, pp. 684–695, Jun. 2011, doi: 10.1287/opre.1110.0912.
  101. D. Driscoll, A. Y. Shih, S. Iyengar, J. J. Field, G. A. White, J. A. Squier, G. Cauwenberghs, and D. Kleinfeld, “Photon counting, censor corrections, and lifetime imaging for improved detection in two-photon microscopy,” Journal of Neurophysiology, vol. 105, no. 6, pp. 3106–3113, Jun. 2011, doi: 10.1152/jn.00649.2010.
  102. M. Maillart, C. R. Cassady, C. Rainwater, and K. Schneider, “Selective maintenance decision-making over extended planning horizons,” IEEE Transactions on Reliability, vol. 58, no. 3, pp. 462–469, 2009, doi: 10.1109/TR.2009.2026689.
  103. Bedewy, Mostafa, et al. “Collective Mechanism for the Evolution and Self-Termination of Vertically Aligned Carbon Nanotube Growth.” The Journal of Physical Chemistry C, vol. 113, no. 48, pp. 20576–82, Dec. 2009, ACS Publications, doi:1021/jp904152v.​
  104. AJariwala, F. Ding, X. Zhao, and D.W. Rosen, “A Process Planning Method for Thin Film Mask Projection Micro-Stereolithography,” in in ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 2, pp. 685-694, Jan. 2009, doi: 1115/DETC2009-87532.
  105. Kurt and L. M. Maillart, “Structured replacement policies for a Markov-modulated shock model,” Operations Research Letters, vol. 37, no. 4, pp. 280–284, Jul. 2009, doi: 10.1016/j.orl.2009.03.008.
  106. Mullowney and S. Iyengar, “Parameter estimation for a leaky integrate-and-fire neuronal model from ISI data,” Journal of Computational Neuroscience, vol. 24, no. 2, pp. 179–194, Apr. 2008, doi: 10.1007/s10827-007-0047-5.
  107. Chmielus, V. A. Chernenko, W. B. Knowlton, G. Kostorz, and P. Mu¨llner, “Training, constraints, and high-cycle magneto-mechanical properties of Ni-Mn-Ga magnetic shape-memory alloys,” The European Physical Journal Special Topics, vol. 158, no. 1, pp. 79–85, May 2008, doi: 10.1140/epjst/e2008-00657-3.
  108. Busygin, O. Prokopyev, and P. M. Pardalos, “Biclustering in data mining,” Computers & Operations Research, vol. 35, no. 9, pp. 2964–2987, Sep. 2008, doi: 10.1016/j.cor.2007.01.005.
  109. M. Maillart and L. Zheltova, “Structured maintenance policies on interior sample paths,” Naval Research Logistics (NRL), vol. 54, no. 6, pp. 645–655, 2007, doi: 10.1002/nav.20236.
  110. Busygin, O. A. Prokopyev, and P. M. Pardalos, “An optimization-based approach for data classification,” Optimisation Methods and Software, vol. 22, no. 1, pp. 3–9, 2007, doi: 10.1080/10556780600881639.
  111. M. Maillart and X. Fang, “Optimal maintenance policies for serial, multi-machine systems with non-instantaneous repairs,” Naval Research Logistics (NRL), vol. 53, no. 8, pp. 804–813, 2006, doi: 10.1002/nav.20171.
  112. M. Maillart, “Maintenance policies for systems with condition monitoring and obvious failures,” IIE Transactions, vol. 38, no. 6, pp. 463–475, Jul. 2006, doi: 10.1080/074081791009059.
  113. S. Krimer, A. V. Zaitsev, G. Czanner, S. Kröner, G. González-Burgos, N. V. Povysheva, S. Iyengar, G. Barrionuevo, and D. A. Lewis, “Cluster analysis-based physiological classification and morphological properties of inhibitory neurons in layers 2-3 of monkey dorsolateral prefrontal cortex,” Journal of Neurophysiology, vol. 94, no. 5, pp. 3009–3022, Nov. 2005, doi: 10.1152/jn.00156.2005.
  114. Busygin, O. A. Prokopyev, and P. M. Pardalos, “Feature Selection for Consistent Biclustering via Fractional 0–1 Programming,” Journal of Combinatorial Optimization, vol. 10, no. 1, pp. 7–21, Aug. 2005, doi: 10.1007/s10878-005-1856-y.
  115. Czanner, S. Grün, and S. Iyengar, “Theory of the snowflake plot and its relations to higher-order analysis methods,” Neural Computation, vol. 17, no. 7, pp. 1456–1479, Jul. 2005, doi: 10.1162/0899766053723041.
  116. M. Maillart and S. M. Pollock, “Cost-optimal condition-monitoring for predictive maintenance of 2-phase systems,” IEEE Transactions on Reliability, vol. 51, no. 3, pp. 322–330, 2002, doi: 10.1109/TR.2002.801846.
  117. Iyengar and M. Mazumdar, “A Saddle Point Approximation for Certain Multivariate Tail Probabilities,” SIAM Journal on Scientific Computing, vol. 19, no. 4, pp. 1234–1244, Jul. 1998, doi: 10.1137/S1064827594277338.

Bitnami