Modeling the thermoelastic–viscoplastic response of polycrystals using a continuum representation over the orientation space von Ganapathysubramanian, Shankar, Zabaras, Nicholas

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Modeling the thermoelastic?viscoplastic response of polycrystals using a continuum representation over the orientation space von GANAPATHYSUBRAMANIAN, S

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Experimental Determination of Stress Distributions Under Electroless Nickel Bumps and Correlation to Numerical Models von Lemke, B., Baskaran, R., Ganapathysubramanian, S., Paul, O.

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A continuum sensitivity method for finite thermo-inelastic deformations with applications to the design of hot forming processes von Ganapathysubramanian, Shankar, Zabaras, Nicholas

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Computational design of deformation processes for materials with ductile damage von Ganapathysubramanian, Shankar, Zabaras, Nicholas

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A continuum sensitivity method for the design of multi-stage metal forming processes von Zabaras, Nicholas, Ganapathysubramanian, Shankar, Li, Qing

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Deformation process design for control of microstructure in the presence of dynamic recrystallization and grain growth mechanisms von Ganapathysubramanian, Shankar, Zabaras, Nicholas

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3D reconstruction of plants using probabilistic voxel carving von Feng, Jiale, Saadati, Mojdeh, Jubery, Talukder, Jignasu, Anushrut, Balu, Aditya, Li, Yawei, Attigala, Lakshmi, Schnable, Patrick, Sarkar, Soumik, Ganapathysubramanian, Baskar, Krishnamurthy, Adarsh

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A Review of First Level Interconnect Modeling Methodology von Dimagiba, R.R., Ganapathysubramanian, S., Modi, M.

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Plant disease identification using explainable 3D deep learning on hyperspectral images von Nagasubramanian, Koushik, Jones, Sarah, Singh, Asheesh K, Sarkar, Soumik, Singh, Arti, Ganapathysubramanian, Baskar

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Machine Learning for High-Throughput Stress Phenotyping in Plants von Singh, Arti, Ganapathysubramanian, Baskar, Singh, Asheesh Kumar, Sarkar, Soumik

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Sparse grid collocation schemes for stochastic natural convection problems von Ganapathysubramanian, Baskar, Zabaras, Nicholas

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Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives von Singh, Asheesh Kumar, Ganapathysubramanian, Baskar, Sarkar, Soumik, Singh, Arti

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Computationally efficient solution to the Cahn–Hilliard equation: Adaptive implicit time schemes, mesh sensitivity analysis and the 3D isoperimetric problem von Wodo, Olga, Ganapathysubramanian, Baskar

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A vorticity-based criterion to characterise leading edge dynamic stall onset von Sudharsan, Sarasija, Ganapathysubramanian, B., Sharma, A.

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An explainable deep machine vision framework for plant stress phenotyping von Ghosal, Sambuddha, Blystone, David, Singh, Asheesh K., Ganapathysubramanian, Baskar, Singh, Arti, Sarkar, Soumik

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Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems von Nagasubramanian, Koushik, Jones, Sarah, Sarkar, Soumik, Singh, Asheesh K, Singh, Arti, Ganapathysubramanian, Baskar

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Modeling morphology evolution during solvent-based fabrication of organic solar cells von Wodo, Olga, Ganapathysubramanian, Baskar

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A real-time phenotyping framework using machine learning for plant stress severity rating in soybean von Naik, Hsiang Sing, Zhang, Jiaoping, Lofquist, Alec, Assefa, Teshale, Sarkar, Soumik, Ackerman, David, Singh, Arti, Singh, Asheesh K, Ganapathysubramanian, Baskar

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Crop yield prediction integrating genotype and weather variables using deep learning von Shook, Johnathon, Gangopadhyay, Tryambak, Wu, Linjiang, Ganapathysubramanian, Baskar, Sarkar, Soumik, Singh, Asheesh K

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