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Paromita Nath
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Year
Optimization of fused filament fabrication process parameters under uncertainty to maximize part geometry accuracy
P Nath, JD Olson, S Mahadevan, YTT Lee
Additive manufacturing 35, 101331, 2020
582020
Sensor placement for calibration of spatially varying model parameters
P Nath, Z Hu, S Mahadevan
Journal of Computational Physics 343, 150-169, 2017
562017
Fast surrogate modeling using dimensionality reduction in model inputs and field output: Application to additive manufacturing
M Vohra, P Nath, S Mahadevan, YTT Lee
Reliability engineering & system safety 201, 106986, 2020
382020
Mutli-level uncertainty quantification in additive manufacturing
P Nath, Z Hu, S Mahadevan
2017 International Solid Freeform Fabrication Symposium, 2017
302017
Uncertainty quantification for additive manufacturing process improvement: Recent advances
S Mahadevan, P Nath, Z Hu
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2022
192022
Uncertainty quantification of grain morphology in laser direct metal deposition
P Nath, Z Hu, S Mahadevan
Modelling and Simulation in Materials Science and Engineering 27 (4), 044003, 2019
192019
Modeling and uncertainty quantification of material properties in additive manufacturing
P Nath, Z Hu, S Mahadevan
2018 AIAA Non-Deterministic Approaches Conference, 0923, 2018
102018
Probabilistic predictive control of porosity in laser powder bed fusion
P Nath, S Mahadevan
Journal of Intelligent Manufacturing, 1-19, 2021
92021
A demonstration of concrete structural health monitoring framework for degradation due to alkali-silica reaction
S Mahadevan, V Agarwal, K Neal, P Nath, Y Bao, G Cai, P Orme, ...
Idaho National Lab.(INL), Idaho Falls, ID (United States), 2016
92016
Probabilistic digital twin for additive manufacturing process design and control
P Nath, S Mahadevan
Journal of Mechanical Design 144 (9), 091704, 2022
72022
Quantitative diagnosis and prognosis framework for concrete degradation due to alkali-silica reaction
S Mahadevan, K Neal, P Nath, Y Bao, G Cai, P Orme, D Adams, ...
AIP conference proceedings 1806 (1), 2017
72017
Optimization of fused filament fabrication process parameters under uncertainty to maximize part geometry accuracy. Addit Manuf 35: 101331
P Nath, JD Olson, S Mahadevan, YTT Lee
62020
Preventing clinical deterioration in cancer outpatients: Human centered design of a predictive model and response system.
ME Salwei, S Anders, L Novak, C Reale, J Slagle, J Harris, K Unertl, ...
Journal of Clinical Oncology 40 (16_suppl), e13567-e13567, 2022
42022
Multi-fidelity Modeling for Uncertainty Quantification in Laser Powder Bed Fusion Additive Manufacturing
P Nath, M Sato, P Karve, S Mahadevan
Integrating Materials and Manufacturing Innovation 11 (2), 256-275, 2022
42022
Multi-objective optimization under uncertainty of part quality in fused filament fabrication
B Kapusuzoglu, P Nath, M Sato, S Mahadevan, P Witherell
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2022
42022
Bayesian calibration of spatially varying model parameters with high-dimensional response
P Nath, Z Hu, S Mahadevan
19th AIAA Non-Deterministic Approaches Conference, 1775, 2017
22017
A Simple Demonstration of Concrete Structural Health Monitoring Framework
S Mahadevan, V Agarwal, G Cai, P Nath, Y Bao, JM Bru Brea, D Koester, ...
Idaho National Lab.(INL), Idaho Falls, ID (United States), 2015
22015
Fast surrogate modeling for high-dimensional input and output: Application to additive manufacturing
M Vohra, P Nath, S Mahadevan, YTT Lee
12020
Dependence structure learning and joint probabilistic forecasting of stochastic power grid variables
O Stover, P Nath, P Karve, S Mahadevan, H Baroud
Applied Energy 357, 122438, 2024
2024
Using Fitbit data to predict clinical deterioration and unplanned treatment events in cancer outpatients.
D France, P Nath, S Mahadevan, J Slagle, R Agarwal, Z Kohutek, ...
Journal of Clinical Oncology 39 (15_suppl), e13560-e13560, 2021
2021
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