Investigation of the surface mechanical properties of functionalized single-walled carbon nanotube (SWCNT) reinforced PDMS nanocomposites using nanoindentation analysis von Ananthasubramanian, Pavithra, Sahay, Rahul, Raghavan, Nagarajan

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Enhancement of the mechanical properties in ultra-low weight SWCNT sandwiched PDMS composites using a novel stacked architecture von Ananthasubramanian, Pavithra, Sahay, Rahul, Raghavan, Nagarajan

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Nanostructure and nanomaterial characterization, growth mechanisms, and applications von Ossai, Chinedu I., Raghavan, Nagarajan

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Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning von Pugalenthi, Karkulali, Park, Hyunseok, Hussain, Shaista, Raghavan, Nagarajan

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Hierarchical main path analysis to identify decompositional multi-knowledge trajectories von Yoon, Sejun, Mun, Changbae, Raghavan, Nagarajan, Hwang, Dongwook, Kim, Sohee, Park, Hyunseok

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Identifying Service Opportunities Based on Outcome-Driven Innovation Framework and Deep Learning: A Case Study of Hotel Service von Nam, Sunghyun, Yoon, Sejun, Raghavan, Nagarajan, Park, Hyunseok

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Investigating Company’s Technical Development Directions Based on Internal Knowledge Inheritance and Inventor Capabilities: The Case of Samsung Electronics von Han, Fang, Yoon, Sejun, Raghavan, Nagarajan, Park, Hyunseok

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Lubricating Oil Remaining Useful Life Prediction Using Multi-Output Gaussian Process Regression von Tanwar, Monika, Raghavan, Nagarajan

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Prognosis of power MOSFET resistance degradation trend using artificial neural network approach von Pugalenthi, Karkulali, Park, Hyunseok, Raghavan, Nagarajan

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Hardware implementation of memristor-based artificial neural networks von Aguirre, Fernando, Sebastian, Abu, Le Gallo, Manuel, Song, Wenhao, Wang, Tong, Yang, J. Joshua, Lu, Wei, Chang, Meng-Fan, Ielmini, Daniele, Yang, Yuchao, Mehonic, Adnan, Kenyon, Anthony, Villena, Marco A., Roldán, Juan B., Wu, Yuting, Hsu, Hung-Hsi, Raghavan, Nagarajan, Suñé, Jordi, Miranda, Enrique, Eltawil, Ahmed, Setti, Gianluca, Smagulova, Kamilya, Salama, Khaled N., Krestinskaya, Olga, Yan, Xiaobing, Ang, Kah-Wee, Jain, Samarth, Li, Sifan, Alharbi, Osamah, Pazos, Sebastian, Lanza, Mario

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Neuromorphic In-memory RRAM NAND / NOR Circuit Performance Analysis in a CNN Training Framework on the Edge for Low Power IoT von Prabhu, Nagaraj Lakshmana, Raghavan, Nagarajan

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Quantitative identification of technological paradigm changes using knowledge persistence von Mun, Changbae, Yoon, Sejun, Kim, Yongmin, Raghavan, Nagarajan, Park, Hyunseok

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Computational Failure Analysis of In-Memory RRAM Architecture for Pattern Classification CNN Circuits von Prabhu, Nagaraj Lakshmana, Raghavan, Nagarajan

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A Novel Framework for Semiconductor Manufacturing Final Test Yield Classification Using Machine Learning Techniques von Jiang, Dan, Lin, Weihua, Raghavan, Nagarajan

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Successive Multi-Stage Compliance-Ramp Voltage Sweep Methodology (MSC-RVS) for Understanding the Evolution of Gate Breakdown Mechanisms in p-GaN HEMTs von Joseph James, Jerry, Raghavan, Nagarajan

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Experimental and Theoretical Investigation of Intracell Magnetic Coupling-Induced Variability of Spin-Transfer Torque Magnetic RAMs von Dutta, Ramit, Hamid, Shafin Bin, Lim, Jia Hao, Tan, Joel, Sikder, Bejoy, Raghavan, Nagarajan, Pey, Kin Leong, Baten, Md Zunaid

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Exploring robust microwave absorption properties of functional polyvinyl butyral (PVB) via facile cross-linking and data-driven material discovery von Chandana, G, Bora, Pritom J., Ramamurthy, Praveen C., Nagarajan Raghavan

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A Gaussian Mixture Model Clustering Ensemble Regressor for Semiconductor Manufacturing Final Test Yield Prediction von Jiang, Dan, Lin, Weihua, Raghavan, Nagarajan

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Dielectric breakdown of 2D muscovite mica von Maruvada, Anirudh, Shubhakar, Kalya, Raghavan, Nagarajan, Pey, Kin Leong, O’Shea, Sean J.

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Data-Driven Design Space Exploration and Exploitation for Design for Additive Manufacturing von Xiong, Yi, Duong, Pham Luu Trung, Wang, Dong, Park, Sang-In, Ge, Qi, Raghavan, Nagarajan, Rosen, David W

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