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Somnath Ghosh

johns hopkins university

62H-index
362Paper Count
1.2WCitation Count
Published Papers 131
Publication Date
Parametrically upscaled model-based predictive platform for fatigue with location-specific microstructural linkages
err2026-04-23
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errOAAI
errSomnath Ghosh; Kishore Appunhi Nair; Tawqeer Nasir Tak; Shravan Kotha; Adam Pilchak; Vasisht Venkatesh; David Furrer
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Integrated experiment and simulation co-design: A key infrastructure for predictive mesoscale materials modeling
err2025-08-30
err0
PREAI
errShailendra Joshi; Ashley Bucsek; Darren C. Pagan; Samantha Daly; Suraj Ravindran; Jaime Marian; Miguel A. Bessa; Surya R. Kalidindi; Nikhil C. Admal; Celia Reina; Somnath Ghosh; James A. Warren; Jorge Viñals; Ellad B. Tadmor
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Machine learning enabled discovery of new L-PBF processing domains for Ti-6Al-4V
err2025-01-01
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PREAI
errMontalbano, T; Nimer, S; Daffron, M; Croom, B; Ghosh, S; Storck, S
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Comparison of three state-of-the-art crystal plasticity based deformation twinning models for magnesium alloys
err2022-07-01
err14
errOAAI
errCheng, Jiahao; Bong, Hyuk Jong; Qiao, Hua; Hu, Xiaohua; Sun, Xin; Ghosh, Somnath; Wu, Peidong
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Developing parametrically upscaled constitutive and crack nucleation models for the α/β Ti64 alloy
err2022-04-01
err19
PREAI
errShen, Jinlei; Kotha, Shravan; Noraas, Ryan; Venkatesh, Vasisht; Ghosh, Somnath
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Data-driven Bayesian model-based prediction of fatigue crack nucleation in Ni-based superalloys
err2022-03-14
err20
errOAAI
errPinz, Maxwell; Weber, George; Stinville, Jean Charles; Pollock, Tresa; Ghosh, Somnath
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