Haghanifar, S., et al. “Creating Glasswing Butterfly-Inspired Durable Antifogging Superomniphobic Supertransmissive, Superclear Nanostructured Glass through Bayesian Learning and Optimization,.” Materials Horizons, June 2019, 10.1039/C9MH00589G.
Maillart, Lisa M., and Ludmila Zheltova. “Structured Maintenance Policies on Interior Sample Paths.” Naval Research Logistics (NRL), vol. 54, no. 6, 2007, pp. 645–55,
Elwany, Alaa H., et al. “Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors.” Operations Research, vol. 59, no. 3, June 2011, pp. 684–95,
Kurt, Murat, and Lisa M. Maillart. “Structured Replacement Policies for a Markov-Modulated Shock Model.” Operations Research Letters, vol. 37, no. 4, July 2009, pp. 280–84,
Maillart, L. M., et al. “Selective Maintenance Decision-Making Over Extended Planning Horizons.” IEEE Transactions on Reliability, vol. 58, no. 3, Sept. 2009, pp. 462–69,
He, K., et al. “Scheduling Preventive Maintenance as a Function of an Imperfect Inspection Interval.” IEEE Transactions on Reliability, vol. 64, no. 3, Sept. 2015, pp. 983–97,
Batun, Sakine, and Lisa M. Maillart. “Reassessing Tradeoffs Inherent to Simultaneous Maintenance and Production Planning.” Production and Operations Management, vol. 21, no. 2, 2012, pp. 396–403,
Ulukus, M. Yasin, et al. “Optimal Replacement Policies under Environment-Driven Degradation.” Probability in the Engineering and Informational Sciences, vol. 26, no. 3, July 2012, pp. 405–24,
He, Kai, et al. “Optimal Planning of Unpunctual Preventive Maintenance.” IISE Transactions, vol. 49, no. 2, Feb. 2017, pp. 127–43,
Anahita Kojandi, et al. “Optimal Planning of Life-Depleting Maintenance Activities.” IIE Transactions, vol. 46, no. 7, Mar. 2014, pp. 636–52,
Icten, Zeynep Gozde, et al. “Optimal Management of a Limited Number of Replacements under Markovian Deterioration.” IIE Transactions, vol. 45, no. 2, Feb. 2013, pp. 206–14,
Maillart, Lisa M., and Xiang Fang. “Optimal Maintenance Policies for Serial, Multi-Machine Systems with Non-Instantaneous Repairs.” Naval Research Logistics (NRL), vol. 53, no. 8, 2006, pp. 804–13,
Maillart, L. M., and S. M. Pollock. “Cost-Optimal Condition-Monitoring for Predictive Maintenance of 2-Phase Systems.” IEEE Transactions on Reliability, vol. 51, no. 3, Sept. 2002, pp. 322–30,
Gao, Tongchuan, et al. “Fundamental Performance Limits and Haze Evaluation of Metal Nanomesh Transparent Conductors.” Advanced Optical Materials, vol. 6, no. 9, 2018, p. 1700829,
Jia, Xiaowei, et al. “Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks.” ArXiv:2009.12575 [Physics], Dec. 2020,
Willard, Jared, et al. “Integrating Physics-Based Modeling with Machine Learning: A Survey.” ArXiv:2003.04919 [Physics, Stat], July 2020,
Jia, Xiaowei, et al. “Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles.” ArXiv:1810.13075 [Physics], Jan. 2019,
Wallace, Meredith L., et al. “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, Jan. 2018, pp. 95–110,
Atamturk, Alper, and Andres Gomez. “Simplex QP-Based Methods for Minimizing a Conic Quadratic Objective over Polyhedra.” ArXiv:1706.05795 [Math], June 2017,
Jariwala, Amit, et al. “Process Planning Method for Exposure Controlled Projection Lithography.” 24th International SFF Symposium - An Additive Manufacturing Conference, SFF 2013, Jan. 2013, pp. 95–110.
Ma, Tianzhou, et al. “Variable Screening with Multiple Studies.” ArXiv:1710.03892 [Math, Stat], Oct. 2017,
Mentch, Lucas, and Giles Hooker. “Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests.” ArXiv:1404.6473 [Stat], Apr. 2014,
Rahimian, M. Amin, and Ali Jadbabaie. “Bayesian Learning Without Recall.” IEEE Transactions on Signal and Information Processing over Networks, vol. 3, no. 3, Sept. 2017, pp. 592–606,
Preciado, Victor M., and M. Amin Rahimian. “Moment-Based Spectral Analysis of Random Graphs with Given Expected Degrees.” ArXiv:1512.03489 [Physics, Stat], Mar. 2017,
Rahimian, M. Amin, and Ali Jadbabaie. “Distributed Estimation and Learning over Heterogeneous Networks.” ArXiv:1611.03328 [Cs, Math, Stat], Nov. 2016,
Rahimian, Mohammad Amin, and Mohammad Saleh Tavazoei. “Improving Integral Square Error Performance with Implementable Fractional-Order PI Controllers.” Optimal Control Applications and Methods, vol. 35, no. 3, 2014, pp. 303–23,
Rahimian, M. Amin, and Amir G. Aghdam. “Structural Controllability of Multi-Agent Networks: Robustness against Simultaneous Failures.” Automatica, vol. 49, no. 11, 2013, pp. 3149–57,
Amin Rahimian, Mohammad, and Mohammad Saleh Tavazoei. “Optimal Tuning for Fractional-Order Controllers: An Integer-Order Approximating Filter Approach.” Journal of Dynamic Systems, Measurement, and Control, vol. 135, no. 2, Mar. 2013,
Rahimian, Mohammad A., and Mohammad S. Tavazoei. “Constrained Tuning of Two-Parameter Controllers: A Centroid Approach.” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 226, no. 5, May 2012, pp. 685–98,
Rahimian, Mohammad Amin, and Mohammad Saleh Tavazoei. “Application of Stability Region Centroids in Robust PI Stabilization of a Class of Second-Order Systems.” Transactions of the Institute of Measurement and Control, vol. 34, no. 4, June 2012, pp. 487–98,
Rahimian, M. A., and M. S. Tavazoei. “Stabilizing Fractional-Order PI and PD Controllers: An Integer-Order Implemented System Approach.” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 224, no. 8, Dec. 2010, pp. 893–903,
“Inside Front Cover.” Materials Horizons, vol. 6, no. 8, Sept. 2019, pp. 1530–1530,
Chu, Weibin, et al. “Low-Frequency Lattice Phonons in Halide Perovskites Explain High Defect Tolerance toward Electron-Hole Recombination.” Science Advances, vol. 6, no. 7, Feb. 2020, p. eaaw7453,
Saidi, Wissam A., et al. “Machine-Learning Structural and Electronic Properties of Metal Halide Perovskites Using a Hierarchical Convolutional Neural Network.” Npj Computational Materials, vol. 6, no. 1, Apr. 2020, pp. 1–7,
Andolina, Christopher M., et al. “Optimization and Validation of a Deep Learning CuZr Atomistic Potential: Robust Applications for Crystalline and Amorphous Phases with near-DFT Accuracy.” The Journal of Chemical Physics, vol. 152, no. 15, Apr. 2020, p. 154701,
Hinder, Oliver, and Miles Lubin. “A Generic Adaptive Restart Scheme with Applications to Saddle Point Algorithms.” ArXiv:2006.08484 [Math], July 2020,
Carmon, Yair, et al. “‘Convex Until Proven Guilty’: Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions.” ArXiv:1705.02766 [Math], May 2017,
Maillart, L. M., et al. “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, 2011, pp. 131–39,
He, Kai, et al. “Optimal Sequencing of Heterogeneous, Non-Instantaneous Interventions.” Annals of Operations Research, vol. 276, no. 1–2, 2019, pp. 109–35,
“Butterfly Wings Inspire New Glass Structure.” Pittwire, Accessed 22 Oct. 2019.
French, Roger H. “1 - Overview: Power Degradation and Failure of PV Systems1.” Durability and Reliability of Polymers and Other Materials in Photovoltaic Modules, edited by Hsinjin Edwin Yang et al., William Andrew Publishing, 2019, pp. 3–21,
Fada, Justin S., et al. “Correlation of I-V Curve Parameters with Module-Level Electroluminescent Image Data Over 3000 Hours Damp-Heat Exposure.” 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), IEEE, 2017, pp. 2697–701,
Zhao, Xiayun, and David 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, 2018, pp. 253–63,
Verma, Amit K., et al. “Mapping Multivariate Influence of Alloying Elements on Creep Behavior for Design of New Martensitic Steels.” Metallurgical and Materials Transactions A, vol. 50, no. 7, July 2019, pp. 3106–20,
Mostafaei, Amir, et al. “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, 2017, pp. 280–89,
Mostafaei, Amir, et al. “Effect of Powder Size Distribution on Densification and Microstructural Evolution of Binder-Jet 3D-Printed Alloy 625.” Materials & Design, vol. 162, 2019, pp. 375–83,
Stevens, Erica, et al. “Density Variation in Binder Jetting 3D-Printed and Sintered Ti-6Al-4V.” Additive Manufacturing, vol. 22, 2018, pp. 746–52,
Mostafaei, Amir, et al. “Comparison of Characterization Methods for Differently Atomized Nickel-Based Alloy 625 Powders.” Powder Technology, vol. 333, 2018, pp. 180–92,
Mostafaei, Amir, et al. “Characterizing Surface Finish and Fatigue Behavior in Binder-Jet 3D-Printed Nickel-Based Superalloy 625.” Additive Manufacturing, vol. 24, 2018, pp. 200–09,
Chmielus, M., et al. “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, 2008, pp. 79–85,