Publications

Forbush, D., Coe, R.G., Donnelly, T.J., Bacelli, G., Gallegos-Patterson, D., Spinneken, J., Lee, J., Crandell, R., Dullea, K., & Dullea, K. (2023). MASK4 Test Report. 10.2172/2280836

Alkady, K.H., Rohe, D.P., Kuether, R.J., Hopkins, R.N., Aragon, D.S., Moore, K., Arroyo, J., & Arroyo, J. (2023). Full-Field Diagnostics of Bolted Joints Using High-Speed Optical Techniques [Conference Presentation]. 10.2172/2564043

Wilson, T.C., Silber, E.A., Elbing, B., Colston, T., & Colston, T. (2023). Estimation of Bolide Entry Characteristics Through Infrasound Observations [Conference Poster]. 10.2172/2540490

Wong, S.M., A Loring, T., Cerjan, A., & Cerjan, A. (2023). The spectral localizer for probing the topology in nonlinear materials and beyond [Conference Presentation]. 10.2172/2584945

Driesse, A., Gallon, J., Kopidakis, N., Theristis, M., Stein, J., & Stein, J. (2023). Tools and Techniques for Spectral Irradiance Processing and Mismatch Estimation [Conference Poster]. 10.2172/2293598

Mendoza, H., Gilkey, L.N., Brooks, D.M., & Brooks, D.M. (2023). Assessing Uncertainty in Modeling Stress Corrosion Cracking. 10.2172/2566714

Carter, S.P., Rohe, D.P., & Rohe, D.P. (2023). Inverse Source Estimation Tools in SDynPy [Conference Presentation]. 10.2172/2540493

Hobbs, M.L. (2023). Predicting EBW detonator failure using DSC data. Journal of Thermal Analysis and Calorimetry, 149. 10.1007/s10973-023-12785-y

Clay, R.C., Duwal, S., Seagle, C.T., Zoller, C.M., Hemley, R.J., Ryu, Y.J., Tkachev, S., Prakapenka, V., Ahart, M., & Ahart, M. (2023). Accurate equation of state of H2–He binary mixtures up to 5.4 GPa. Physical Review. B, 108(22). https://doi.org/10.1103/physrevb.108.224112

Pineda Romero, N., Witman, M.D., Harvey, K., Stavila, V., Nassif, V., Elkaim, E., Zlotea, C., & Zlotea, C. (2023). Large Destabilization of (TiVNb)-Based Hydrides via (Al, Mo) Addition: Insights from Experiments and Data-Driven Models. ACS Applied Energy Materials, 6(24), pp. 12560-12572. 10.1021/acsaem.3c02696

Blakely, L., Reno, M.J., Azzolini, J.A., Jones, C.B., Nordy, D., & Nordy, D. (2023). Applying Sensor-Based Phase Identification With AMI Voltage in Distribution Systems. IEEE Access, 12, pp. 1235-1249. https://doi.org/10.1109/access.2023.3346810

Rimsza, J., Hurlock, M., Nenoff, T.M., Christian, M.S., & Christian, M.S. (2023). CO₂ adsorption mechanisms at the ZIF-8 interface in a Type 3 porous liquid. Journal of Molecular Liquids, 395(1). 10.1016/j.molliq.2023.123913

Wheeler, L.B., Zeitler, T., Brunell, S.B., Lien, J.M., Shand, L., Wagman, B.M., Roesler, E.L., Martinez, C., Potter, K.M., & Potter, K.M. (2023). Performance assessment for climate intervention (PACI): preliminary application to a stratospheric aerosol injection scenario. Frontiers in Environmental Science, 11(1205515). https://doi.org/10.3389/fenvs.2023.1205515

Anderson, K.S., Hansen, C., Holmgren, W.F., Mikofski, M.A., Jensen, A.R., Driesse, A., & Driesse, A. (2023). pvlib python: 2023 project update. Journal of Open Source Software, 8(92). 10.21105/joss.05994

Davis, J., Brown, J.L., & Brown, J.L. (2023). Quantifying uncertainty in analysis of shockless dynamic compression experiments on platinum. I. Inverse Lagrangian analysis. Journal of Applied Physics, 134(23). 10.1063/5.0173534

Brown, J.L., Davis, J., Tucker, J.D., Huerta, J.G., Shuler, K., & Shuler, K. (2023). Quantifying uncertainty in analysis of shockless dynamic compression experiments on platinum. II. Bayesian model calibration. Journal of Applied Physics, 134(23). 10.1063/5.0173652

Searfus, O., Marleau, P., Uribe, E., Reedy, H.A., Jovanovic, I., & Jovanovic, I. (2023). Passive and active neutron signatures of 233U for nondestructive assay. Physical Review Applied, 20(6). https://doi.org/10.1103/physrevapplied.20.064038

Revelle, M.C., Delaney, M.A., Haltli, R.A., Heller, E.J., Nordquist, C.D., Ou, E., van der Wall, J.W., Clark, S.M., & Clark, S.M. (2023). The Roadrunner Trap: A QSCOUT Device. 10.2172/2430096

Mendez Granado, J.P., Mamaluy, D., & Mamaluy, D. (2023). Uncovering anisotropic effects of electric high-moment dipoles on the tunneling current in $\delta$-layer tunnel junctions. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-49777-9

Kopatz, J.W., Reinholtz, W.D., Cook, A., Tappan, A.S., Grillet, A.M., & Grillet, A.M. (2023). Pressure-based process monitoring of direct-ink write material extrusion additive manufacturing. Additive Manufacturing, 80. 10.1016/j.addma.2023.103928

Merrill, L.C., Long, D.M., Rosenberg, S.G., Foulk, J.W., Lam, M.N., Harrison, K.L., & Harrison, K.L. (2023). Real time lithium metal calendar aging in common battery electrolytes. Frontiers in Batteries and Electrochemistry, 2. https://doi.org/10.3389/fbael.2023.1293877

Bishop, S.R., Liu, C., Liu, X., King, K.A., Sugar, J.D., McDaniel, A.H., Salinas, P.A., Coker, E.N., Foulk, J.W., Luo, J., & Luo, J. (2023). Manganese-based A-site high-entropy perovskite oxide for solar thermochemical hydrogen production. Journal of Materials Chemistry A, 12(7), pp. 3910-3922. 10.1039/d3ta03554a

Hogancamp, J., Jones, C., & Jones, C. (2023). Predictive maturity of non-linear concrete constitutive models for impact simulation [Conference Poster]. Nuclear Engineering and Design. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85177990169&origin=inward

Kouri, D.P., Udell, M., Hua, Z., & Hua, Z. (2023). A greedy Galerkin method to efficiently select sensors for linear dynamical systems. Linear Algebra and Its Applications, 679, pp. 275-304. 10.1016/j.laa.2023.09.003

Foulk, J.W., Nemani, V., Fink, O., Biggio, L., Huan, X., Wang, Y., du, X., Zhang, X., Hu, C., & Hu, C. (2023). Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial. Mechanical Systems and Signal Processing, 205(1). 10.1016/j.ymssp.2023.110796

Iqbal, A., Bentz, B.Z., Youngman, K., Foulk, J.W., Zhou, Y., & Zhou, Y. (2023). Pulsed photoemission induced plasma breakdown. Journal of Physics D: Applied Physics, 56(50). https://doi.org/10.1088/1361-6463/acfa0d

Klise, K.A. (2023). Increasing resilience with wastewater reuse. Nature Water, 1. 10.1038/s44221-023-00170-w

Sharma, A., Leverant, C.J., Richards, D., Beamis, C.P., Spoerke, E.D., Percival, S.J., Rempe, S., Vanegas, J.M., & Vanegas, J.M. (2023). Transport and Energetics of Carbon Dioxide in Ionic Liquids at Aqueous Interfaces. Journal of Physical Chemistry B, 127(49), pp. 10573-10582. 10.1021/acs.jpcb.3c05946

Saunders, B.E., Kuether, R.J., Vasconcellos, R.M.G., Abdelkefi, A., & Abdelkefi, A. (2023). Nonlinear analysis and vibro-impact characteristics of a shaft-bearing assembly. International Journal of Non-Linear Mechanics, 159(NA). 10.1016/j.ijnonlinmec.2023.104618

Nguyen, N.P., Kaur, S., Bush, H.E., Miller, J.E., Ambrosini, A., Loutzenhiser, P.G., & Loutzenhiser, P.G. (2023). Two-Step Chemical Looping Cycle for Renewable NH₃ Production Based on Non-Catalytic Co₃Mo₃N/Co₆Mo₆N Reactions. Advanced Energy Materials, 14(7). 10.1002/aenm.202302740

Zhang, Y., Carino, E., Hahn, N.T., Becknell, N., Mars, J., Han, K.S., Mueller, K.T., Toney, M., Maginn, E.J., Tepavcevic, S., & Tepavcevic, S. (2023). Understanding the Surprising Ionic Conductivity Maximum in Zn(TFSI)₂ Water/Acetonitrile Mixture Electrolytes. Journal of Physical Chemistry Letters, 14(50). 10.1021/acs.jpclett.3c03048

Azzolini, J.A., Reno, M.J., Yusuf, J., & Yusuf, J. (2023). A Model-free Approach for Estimating Service Transformer Capacity Using Residential Smart Meter Data. IEEE Journal of Photovoltaics, 14(1), pp. 65-73. https://doi.org/10.1109/jphotov.2023.3335889

Shurtz, R.C., Brown, A.L., Takahashi, L.K., Coker, E.N., & Coker, E.N. (2023). Effects of hydrogen isotope type on oxidation rates for trace releases [Conference Proceeding]. Fire Safety Journal. 10.1016/j.firesaf.2023.103916

Leenheer, A.J., Dominguez, D., Eichenfield, M., Dong, M., Boyle, J.M., Palm, K.J., Zimmermann, M., Witte, A., Gilbert, G., Englund, D., & Englund, D. (2023). Synchronous micromechanically resonant programmable photonic circuits. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-42866-3

Jensen, A.R., Anderson, K.S., Holmgren, W.F., Mikofski, M.A., Hansen, C., Boeman, L.J., Loonen, R., & Loonen, R. (2023). pvlib iotools—Open-source Python functions for seamless access to solar irradiance data. Solar Energy, 266. 10.1016/j.solener.2023.112092

Bassett, K.L., Watkins, T., Coleman, J., Bianco, N.R., Bailey, L.S., Pillars, J.R., Williams, S.G., Babuska, T.F., Curry, J., Delrio, F.W., Henriksen, A., Garland, A., Hall, J., Boyce, B.L., Krick, B.A., & Krick, B.A. (2023). A Workflow for Accelerating Multimodal Data Collection for Electrodeposited Films. Integrating Materials and Manufacturing Innovation, 12(4), pp. 430-440. https://doi.org/10.1007/s40192-023-00315-5

Benson, A.G. (2023). Customized predictions of the installed cost of behind-the-meter battery energy storage systems [Conference Poster]. Energy Reports. 10.2172/1893290

Istiak Khan, I., Xiao, Z., Addamane, S.J., Burghoff, D., & Burghoff, D. (2023). Frequency combs in optically injected terahertz ring quantum cascade lasers. APL Photonics, 8(12). 10.1063/5.0173912

Dingreville, R., Shin, D., Alberdi, R., Lebensohn, R.A., & Lebensohn, R.A. (2023). Deep material network via a quilting strategy: visualization for explainability and recursive training for improved accuracy. npj Computational Materials, 9(1). 10.1038/s41524-023-01085-6

Garbrecht, K., Birky, D., Lester, B.T., Emery, J.M., Hochhalter, J., & Hochhalter, J. (2023). Complementing a continuum thermodynamic approach to constitutive modeling with symbolic regression. Journal of the Mechanics and Physics of Solids, 181(1). 10.1016/j.jmps.2023.105472

Rouse, J.W. (2023). Characterizing dynamic test fixtures through the modal projection error. Mechanical Systems and Signal Processing, 204. https://doi.org/10.1016/j.ymssp.2023.110746

Labauve, A.E., Saada, E.A., Jones, I.K.A., Mosesso, R., Noureddine, A., Techel, J., Gomez, A., Collette, N., Sherman, M.B., Serda, R.E., Butler, K.S., Brinker, C.J., Schoeniger, J.S., Sasaki, D., Negrete, O.A., & Negrete, O.A. (2023). Lipid-coated mesoporous silica nanoparticles for anti-viral applications via delivery of CRISPR-Cas9 ribonucleoproteins. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-33092-4

Adamczyk, P.A., Gladden, J.M., Coradetti, S.T., & Coradetti, S.T. (2023). Non-canonical d-xylose and l-arabinose metabolism via d-arabitol in the oleaginous yeast Rhodosporidium toruloides. Microbial Cell Factories, 22(1). https://doi.org/10.1186/s12934-023-02126-x

Qi, Y., Swift, M.W., Fuller, E.J., Talin, A.A., & Talin, A.A. (2023). Interface potentials inside solid-state batteries: Origins and implications. MRS Bulletin, 48(12), pp. 1239-1246. 10.1557/s43577-023-00625-1

Jaryenneh, J.D., Schoeniger, J.S., Mageeney, C.M., & Mageeney, C.M. (2023). Genome sequence and characterization of a novel Pseudomonas putida phage, MiCath. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-48634-z

Adamczyk, P.A., Gladden, J.M., Coradetti, S.T., Liudi, D., Gao, Y., Otoupal, P.B., Geiselman, G.M., Webb-Robertson, B.J.M., Burnet, M.C., Kim, Y.M., Burnum-Johnson, K.E., Magnuson, J., & Magnuson, J. (2023). Engineering transcriptional regulation of pentose metabolism in Rhodosporidium toruloides for improved conversion of xylose to bioproducts. Microbial Cell Factories, 22(1). https://doi.org/10.1186/s12934-023-02148-5

Aimone, J.B., Parekh, O.D., & Parekh, O.D. (2023). The brain’s unique take on algorithms. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-40535-z

Kononov, A., Hentschel, T.W., Hansen, S.B., Baczewski, A.D., & Baczewski, A.D. (2023). Trajectory sampling and finite-size effects in first-principles stopping power calculations. npj Computational Materials, 9(1). https://doi.org/10.1038/s41524-023-01157-7

Massengale, J.A., Shen, Y., Yang, R.Q., Hawkins, S.D., Muhowski, A., & Muhowski, A. (2023). Low Threshold, Long Wavelength Interband Cascade Lasers With High Voltage Efficiencies. IEEE Journal of Quantum Electronics, 59(6). 10.1109/jqe.2023.3314098

Fiedler, L., Modine, N.A., Schmerler, S., Vogel, D.J., Popoola, G.A., Thompson, A.P., Rajamanickam, S., Cangi, A., & Cangi, A. (2023). Predicting electronic structures at any length scale with machine learning. npj Computational Materials, 9(1). 10.1038/s41524-023-01070-z