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Bayesian inference-based decision of fatigue life model for metal additive manufacturing considering effects of build orientation and post-processing

Doh, Jaehyeok; Raju, Nandhini; Raghavan, Nagarajan; Rosen, David W.; Kim, Samyeon

ArticleIssue Date2022CitationInternational Journal of Fatigue, v.155PublisherElsevier BV
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Exploring Conductive Filler-Embedded Polymer Nanocomposite for Electrical Percolation via Electromagnetic Shielding-Based Additive Manufacturing

Qureshi, Nilam; Dhand, Vivek; Subhani, Shaik; Kumar, Rajendran Senthil; Raghavan, Nagarajan; Kim, Sanghoon; Doh, Jaehyeok

ArticleIssue Date2024CitationAdvanced Materials Technologies, v.9, no.17PublisherJOHN WILEY & SONS INC
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Online Prognosis of Bimodal Crack Evolution for Fatigue Life Prediction of Composite Laminates Using Particle Filtersopen access

Pugalenthi, Karkulali; Trung Duong, Pham Luu; Doh, Jaehyeok; Hussain, Shaista; Jhon, Mark Hyunpong; Raghavan, Nagarajan

ArticleIssue Date2021CitationAPPLIED SCIENCES-BASEL, v.11, no.13PublisherMDPI
SCIESCOPUS
Optimization of PDMS -MWCNT nanocomposites for strong Ku-band absorption by integrating microwave simulations and genetic algorithm

Bora, Pritom J.; Chandana G.; Mahanta, Bibhusita; Doh, Jaehyeok; Ramamurthy, Praveen C.; Raghavan, Nagarajan

ArticleIssue Date2023CitationComposites Communications, v.39PublisherElsevier Ltd
SCIESCOPUS
Uncertainty quantification of percolating electrical conductance for wavy carbon nanotube-filled polymer nanocomposites using Bayesian inference

Doh, Jaehyeok; Park, Sang-In; Yang, Qing; Raghavan, Nagarajan

ArticleIssue Date2021CitationCarbon, v.172, pp 308 - 323PublisherPergamon Press Ltd.
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