@article{guha_berkowitz_grace_2024, title={A coupled approach of spatial dielectric mapping and unsupervised machine learning for damage detection and severity segmentation in polymer matrix composites}, volume={145}, ISSN={["1879-1174"]}, DOI={10.1016/j.ndteint.2024.103137}, journal={NDT & E INTERNATIONAL}, author={Guha, Rishabh D. and Berkowitz, Katherine and Grace, Landon R.}, year={2024}, month={Jul} }
 @article{guha_danilov_berkowitz_oluwajire_grace_2023, title={Consequences of Humidity Cycling on the Moisture Absorption Characteristics of Epoxy Resins with Different Network Architectures}, volume={1}, ISSN={["2637-6105"]}, url={https://doi.org/10.1021/acsapm.2c01570}, DOI={10.1021/acsapm.2c01570}, abstractNote={Absorbed moisture is a perpetual contributor to the steady loss of performance for in-service epoxy-based polymer materials. On the atomistic scale, the state of individual water molecules in a crosslinked epoxy is dependent on the strength of the secondary bonding interactions they engage in and their local physical environment. However, these chemical and physical variables can be tailored on the macroscopic scale through changes in the experimental curing schedule. In this study, crosslinked epoxy matrices with different network architectures were cured by varying the stoichiometric mixing ratios of the epoxy: hardener combination. The samples were subsequently subjected to fluctuating humidity conditions which comprises repeating cycles of high (∼95% RH) and ambient humidity. Both infrared (IR) spectroscopy and dielectric readings were successful in establishing a strong correlation between moisture absorption, network morphology, and dielectric properties. An anomalous behavior observed during the spectral peak analysis helped us understand how absorption history can redistribute the concentrations of water species at the same moisture concentrations. The results from this study elucidate how the phenomenon of absorption itself can act as a damage initiation event, and they also indicate that the spatial quantification of the different water species across a sample can allow us to map damage sites, nanopores, and areas with an overall higher void content.}, journal={ACS APPLIED POLYMER MATERIALS}, author={Guha, Rishabh D. and Danilov, Evgeny O. and Berkowitz, Katherine and Oluwajire, Oluwatimilehin and Grace, Landon R.}, year={2023}, month={Jan} }
 @article{guha_danilov_berkowitz_oluwajire_grace_2023, title={Suppressing Hydrogen Evolution in Aqueous Lithium-Ion Batteries with Double-Site Hydrogen Bonding}, volume={5}, ISSN={["2637-6105"]}, DOI={10.1021/acsapm.2c01570400}, number={1}, journal={ACS APPLIED POLYMER MATERIALS}, author={Guha, Rishabh D. and Danilov, Evgeny O. and Berkowitz, Katherine and Oluwajire, Oluwatimilehin and Grace, Landon R.}, year={2023}, month={Jan}, pages={400–411} }
 @article{idolor_berkowitz_guha_grace_2022, title={Nondestructive examination of polymer composites by analysis of polymer-water interactions and damage-dependent hysteresis}, volume={287}, ISSN={["1879-1085"]}, DOI={10.1016/j.compstruct.2022.115377}, abstractNote={Polymer composites are currently replacing metals in applications requiring design flexibility, high strength-to-weight ratio, and corrosion resistance. However, the damage modes in these materials are very different from metals and require specialized techniques to detect internal flaws which may exist even in the absence of visible surface damage. This study proposes a technique for damage detection in polymer composites which uses naturally absorbed moisture as an ‘imaging’ agent. The locally higher concentration of water in the ‘free’ state at damaged regions and the tendency of such water to quickly migrate to and from damage sites—exhibiting damage-dependent hysteresis—is leveraged for damage detection. To identify damaged regions, a machine learning approach is adopted using logistic regression to classify local regions as ‘undamaged’ or ‘damaged’. New possibilities resulting from higher sensitivity levels achievable by damage-dependent hysteresis are highlighted, providing a pathway to field deployment of the novel damage detection technique.}, journal={COMPOSITE STRUCTURES}, author={Idolor, Ogheneovo and Berkowitz, Katherine and Guha, Rishabh Debraj and Grace, Landon}, year={2022}, month={May} }
 @article{guha_rahmani_berkowitz_pasquinelli_grace_2022, title={Temporal evolution of the behavior of absorbed moisture in a damaged polymer-quartz composite: A molecular dynamics study}, volume={214}, ISSN={["1879-0801"]}, DOI={10.1016/j.commatsci.2022.111690}, abstractNote={• Interfacial Debonding was simulated on a nanoscale using an atomistic model of a quartz-fiber composite. • The temporal behavior of absorbed moisture was analyzed near the damage site. • Irrespective of the initial state of moisture in the composite, they eventually agglomerate near the damage location. • Spatial confinement near the interface bolsters previous experiments which hypothesize that absorbed moisture behaves like bulk water when clustered at microcracks. Exposure of a composite structure to mechanical or environmental stressors often leads to the formation of damage sites which contain rupture mechanisms such as matrix cracking and interfacial debonding. Continued accumulation of this type of small-scale damage can cause sudden and catastrophic large-scale failure. A novel damage characterization technique which leverages the altered physical and chemical states of naturally absorbed moisture in response to sub-micron scale damage has recently shown promise for early detection of damage. In this work, molecular dynamics simulations are used to better understand the differences in the behavior of absorbed water molecules near a damage site. The results show that, irrespective of the initial distribution of molecular water throughout the composite, or the presence of polar atoms in the polymer matrix, water tends to preferentially cluster near the damage location. It was also found that spatial confinement near the polymer-fiber interface hinders diffusion of the water molecules into the polymer matrix. These molecular level insights bolster the hypothesis formulated in previous experimental studies that absorbed moisture behaves like free water in terms of its dielectric activity when the water molecules agglomerate at the damage location. Consequently, this locally distinct permittivity can be leveraged for damage detection and quantification.}, journal={COMPUTATIONAL MATERIALS SCIENCE}, author={Guha, Rishabh D. and Rahmani, Farzin and Berkowitz, Katherine and Pasquinelli, Melissa and Grace, Landon R.}, year={2022}, month={Nov} }
 @article{idolor_guha_berkowitz_grace_2021, title={An experimental study of the dynamic molecular state of transient moisture in damaged polymer composites}, volume={42}, ISSN={["1548-0569"]}, url={https://doi.org/10.1002/pc.26066}, DOI={10.1002/pc.26066}, abstractNote={Abstract}, number={7}, journal={POLYMER COMPOSITES}, publisher={Wiley}, author={Idolor, Ogheneovo and Guha, Rishabh Debraj and Berkowitz, Katherine and Grace, Landon}, year={2021}, month={Jul}, pages={3391–3403} }
 @article{guha_idolor_berkowitz_pasquinelli_grace_2021, title={Exploring secondary interactions and the role of temperature in moisture-contaminated polymer networks through molecular simulations (vol 17, pg 2942, 2021)}, volume={5}, ISSN={["1744-6848"]}, DOI={10.1039/d1sm90100a}, abstractNote={Correction for ‘Exploring secondary interactions and the role of temperature in moisture-contaminated polymer networks through molecular simulations’ by Rishabh D. Guha et al., Soft Matter, 2021, 17, 2942–2956, DOI: 10.1039/D0SM02009E.}, journal={SOFT MATTER}, author={Guha, Rishabh D. and Idolor, Ogheneovo and Berkowitz, Katherine and Pasquinelli, Melissa and Grace, Landon R.}, year={2021}, month={May} }