Publications

2025

Abebe, W. M., Strube, J. F., Guo, L., Tallent, N. R., Bel, O., Spurgeon, S. R., et al. (2025). SAM-I-Am: Semantic boosting for zero-shot atomic-scale electron micrograph segmentation. Computational Materials Science, 246, 113400. PNNL-SA-194572.
Sprueill, H. W., Edwards, C., Agarwal, K., Olarte, M. V., Sanyal, U., Johnston, C., et al. (2025). CHEMREASONER: Heuristic search over a large language model’s knowledge space using quantum-chemical feedback. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024) (pp. 46351–46374). Journal of Machine Learning Research Inc. PNNL-SA-194636.
Hao, Y., Mao, J., Bachmann, C. M., Hoffman, F. M., Koren, G., Chen, H., et al. (2025). Soil moisture controls over carbon sequestration and greenhouse gas emissions: A review. npj Climate and Atmospheric Science, 8(1), 16. PNNL-SA-203137. https://doi.org/10.1038/s41612-024-00888-8
Zhou, X., Painemal, D., Gettelman, A., & Feingold, G. (2025). Exploring causal relationships and adjustment timescales of aerosol–cloud interactions in geostationary satellite observations and CAM6 using wavelet phase coherence analysis. Geophysical Research Letters, 52(2), e2024GL111961. PNNL-SA-203056. https://doi.org/10.1029/2024GL111961
Jia, H., Broekhuis, B. G., Xu, Y., Yang, Z., Kautz, D. J., Zhong, L., et al. (2025). Rational electrolyte design for elevated-temperature and thermally stable lithium-ion batteries with nickel-rich cathodes. ACS Applied Materials & Interfaces, 17(4), 6260–6270. PNNL-SA-202615. https://doi.org/10.1021/acsami.4c17629
Ciesielski, D. K., Li, Y., Hu, S., King, E., Corbey, J. F., & Stinis, P. (2025). Deep operator network surrogate for phase-field modeling of metal grain growth during solidification. Computational Materials Science, 246, 113417. PNNL-SA-198433. https://doi.org/10.1016/j.commatsci.2024.113417
Liu, H., Xiao, J., Xiao, J., Hao, D., Li, F., Ji, F., & Chen, M. (2025). Importance of viewing angle: Hotspot effect improves the ability of satellites to track terrestrial photosynthesis. Remote Sensing of Environment, 317, 114492. PNNL-SA-193184. https://doi.org/10.1016/j.rse.2024.114492
Butreddy, P., Mergelsberg, S. T., Jocz, J. N., Li, D., Prabhakaran, V., Ritchhart, A. J., et al. (2025). Selective dissolution and re-precipitation by pH cycling enables recovery of manganese from surface nodules. RSC Sustainability, 3(2), 983–994. PNNL-SA-202293. https://doi.org/10.1039/D4SU00444B
Harrilal, C. P., Garimella, V. B., Norheim, R. V., & Ibrahim, Y. M. (2025). Development of a platform for high-resolution ion mobility separations coupled with messenger tagging infrared spectroscopy for high-precision structural characterizations. Analytical Chemistry, 97(4), 2103–2110. PNNL-SA-203280. https://doi.org/10.1021/acs.analchem.4c04780
Wang, Q., Fu, Y., Miller, E. A., Song, D., Brahana, P. J., Ritchhart, A. J., et al. (2025). Selective recovery of critical minerals from simulated electronic wastes via reaction–diffusion coupling. Journal of the American Chemical Society. PNNL-SA-203388. https://doi.org/10.1002/cssc.202402372
Reinhart, E. D., Studvick, C. M., Billow, B. S., Odom, A. L., Popov, I. A., & Boncella, J. M. (2025). Realization of an elusive U(III)-imido complex. Chemistry – A European Journal, 31(9), e202403859. PNNL-SA-200257. https://doi.org/10.1002/chem.202403859
Ast, H., Hammer, M. J., Zhang, S., Bruton, A. M., Hatsu, I., Leung, B., et al. (2025). Gut microbiome changes with micronutrient supplementation in children with attention–deficit/hyperactivity disorder: The MADDY study. Gut Microbes, 17(1), 2463570. PNNL-SA-200316. https://doi.org/10.1080/19490976.2025.2463570
Bubas, A. R., French, A. D., Melby, K. M., Rodriguez, M. J., & Cox, R. M. (2025). The balance of orbital overlap and orbital energy in the activation of methane by actinide cations: Insights from inductively coupled plasma tandem mass spectrometry. Inorganic Chemistry Frontiers, 12(4), 1503–1516. PNNL-SA-202772. https://doi.org/10.1039/D4QI02748E
Dembski, C., Spyrou, A., Brown, A., Liddick, S. N., Berg, H., Bleuel, D. L., et al. (2025). Extreme shape coexistence observed in 70Co. Communications Physics, 8, 77. PNNL-SA-203628. https://doi.org/10.1038/s42005-025-01998-2
Das, D., Sanchez Escobar, F., Gaurav, P., Herbort, N., Manciu, F. S., Shutthanandan, V., & Ramana, C. (2025). Effect of thermal oxidation on the structure, surface texturing, and microstructure evolution in nanocrystalline Ga–O–N films. Advanced Materials Interfaces, 12(5), 2400500. PNNL-SA-199910. https://doi.org/10.1002/admi.202400500
Ajantiwalay, T., Ishrak, F., Malakar, A., Pole, M., Li, L., Soulami, A., et al. (2025). Comprehending interphase shearing behavior within a bulk Cu–Nb alloy using micromechanical testing. Materials Characterization, 336, 115606. PNNL-SA-200126. https://doi.org/10.1016/j.matchar.2025.114928
Beeler, P. A., Corbin, J., Sipkens, T., & Fierce, L. M. (2025). A framework for quantifying the size and fractal dimension of compacting soot particles. Environmental Science & Technology, 59(12), 5994–6003. PNNL-SA-204066. https://doi.org/10.1021/acs.est.4c11100
Zhang, T., Morcrette, C. J., Zhang, M., Lin, W., Xie, S., Liu, Y., et al. (2025). A Fortran–Python interface for integrating machine learning parameterization into Earth system models. Geoscientific Model Development, 18(6), 1917–1928. PNNL-SA-197330. https://doi.org/10.5194/gmd-18-1917-2025
Martell, M. J., Baweja, J. A., & Dreslin, B. D. (2025). Mitigative strategies for recovering from large language model trust violations. Journal of Cognitive Engineering and Decision Making, 19(1), 76–95. PNNL-SA-193711. https://doi.org/10.1177/15553434241303577
Lyu, X., Du, W., Mohiuddin, S., & Cheng, Y. (2025). Critical clearing time for droop-controlled grid-forming inverters with circular current limiting and virtual impedance current limiting. IEEE Transactions on Power Systems, 40(2), 1997–2000. PNNL-SA-203476. https://doi.org/10.1109/TPWRS.2025.3527816
Li, L., Lin, X., Fang, Y., Hou, Z., Leung, L., Wang, Y., et al. (2025). A unified ensemble soil moisture dataset across the continental United States. Scientific Data, 12, 546. PNNL-SA-197456. https://doi.org/10.1038/s41597-025-04657-x
Tang, J., Bento, V., Hao, D., Zeng, Y., Guo, P., Chen, Y., et al. (2025). Assessing methods in fusion and fitting for time series construction in remote sensing-based Earth observations. GIScience & Remote Sensing, 62(1), 2486190. PNNL-SA-193270. https://doi.org/10.1080/15481603.2025.2486190
Bohm Agostini, N., Gozzi, G., Fiorito, M., Barone, C., Curzel, S., Limaye, A. M., et al. (2025). Extending high-level synthesis with AI/ML methods. In Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2024). Association for Computing Machinery. PNNL-SA-202929. https://doi.org/10.1145/3676536.3689923
Chen, Y., Zeng, C., Fu, Y., Bao, J., Gao, P., Chen, J. Q., et al. (2025). A hybrid numerical and machine learning framework for evaluating the performance of a 780 cm² aqueous organic redox flow battery. Journal of Power Sources, 635, 236470. PNNL-SA-203778. https://doi.org/10.1016/j.jpowsour.2025.236470
Mikkelsen, A., McCoy, D. T., Eidhammer, T., Gettelman, A., Song, C., Gordon, H., & McCoy, I. T. (2025). Constraining aerosol–cloud adjustments by uniting surface observations with a perturbed parameter ensemble. Atmospheric Chemistry and Physics, 25(8), 4547–4570. PNNL-SA-201337. https://doi.org/10.5194/acp-25-4547-2025
Wilczak, J. M., Kirk-Davidoff, D., Bloomfield, H., Bracken, C. W., & Sharp, J. (2025). Wind and solar energy droughts: Potential impacts on energy system dynamics and research needs. Journal of Renewable and Sustainable Energy, 17(2), 022301. PNNL-SA-203375. https://doi.org/10.1063/5.0253058
Shin, P. W., Sampson, J., Narayanan, V., Marquez, A., & Halappanavar, M. (2025). Disharmony: Forensics using reverse lighting harmonization. In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW 2025) (pp. 708–717). IEEE. PNNL-SA-203018. https://doi.org/10.1109/WACVW65960.2025.00085
Jiang, P., Kidger, P., Bandai, T., Baldocchi, D., Liu, H., Xiao, Y., et al. (2025). JAX-CanVeg: A differentiable land surface model. Water Resources Research, 61(3), e2024WR038116. PNNL-SA-199036. https://doi.org/10.1029/2024WR038116
Bhatwadekar, S., Boruah, B., Riedel, N. W., Royer, N. D., Pedersen, T. H., & Lopez-Ruiz, J. A. (2025). Electrocatalytic oxidation of hydrothermal liquefaction-derived aqueous phase for on-site wastewater treatment and H₂ production. Cell Reports Physical Science, 6(5), 102555. PNNL-SA-201955. https://doi.org/10.1016/j.xcrp.2025.102555
Cesaro, A., Wan, F., Shi, H., Wang, K., Maupin, C. M., Barker, M. L., et al. (2025). Antiviral discovery using sparse datasets by integrating experiments, molecular simulations, and machine learning. Cell Reports Physical Science, 6(5), 102554. PNNL-SA-203130. https://doi.org/10.1016/j.xcrp.2025.102554
Varshika, M. L., Hollenbach, J., Bohm Agostini, N., Limaye, A. M., Tumeo, A., & Das, A. (2025). Online learning for dynamic structural characterization in electron energy loss spectroscopy. In Design, Automation & Test in Europe Conference (DATE 2025). IEEE. PNNL-SA-203900. https://doi.org/10.23919/DATE64628.2025.10992865
Kong, J., Panapitiya, G. U., & Saldanha, E. G. (2025). Extracting material property measurements from scientific literature with limited annotations. Journal of Chemical Information and Modeling, 65(10), 4906–4917. PNNL-SA-194296. https://doi.org/10.1021/acs.jcim.4c01352
Son, Y., Bracken, C. W., Broman, D. P., & Voisin, N. (2025). Monthly hydropower generation data for western Canada to support Western U.S. interconnect power system studies. Scientific Data, 12, 874. PNNL-SA-204049. https://doi.org/10.1038/s41597-025-05098-2
Huang, J., Sehgal, V., Alvarez, L. V., Brocca, L., Cai, S., Cheng, R., et al. (2025). Remotely sensed high-resolution soil moisture and evapotranspiration: Bridging the gap between science and society. Water Resources Research, 61(5), e2024WR037929. PNNL-SA-198309. https://doi.org/10.1029/2024WR037929
Owens-Fryar, G., Lyons, S. M., Richard, A. L., Spyrou, A., Brown, A., Robin, C., et al. (2025). Total absorption spectroscopy for the β⁺ decay strength distribution of 60Ga. Physical Review C, 111(6), 065801. PNNL-SA-204181. https://doi.org/10.1103/PhysRevC.111.065801
Bracken, C. W., Voisin, N., Mongird, K., Burleyson, C. D., & Oikonomou, K. (2025). Intensifying renewable energy droughts in the western U.S. amid evolving infrastructure and climate. Earth’s Future, 13(6), e2024EF005313. PNNL-SA-203377. https://doi.org/10.1029/2024EF005313
Cannon, W. R., King, E., Huening, K. A., & North, J. A. (2025). Redox poise in R. rubrum phototrophic growth drives large-scale changes in macromolecular pathways. PLoS Computational Biology, 21(6), e1013015. PNNL-SA-194523. https://doi.org/10.1371/journal.pcbi.1013015
Stam, C. D., Saldanha, E. G., Halappanavar, M., & Acharya, A. (2025). Leveraging language modeling and dynamic social network analysis to recognize patterns in the spread of COVID-19 misinformation narratives on social media. In The 2025 Workshop on Natural Language Processing (NLP) in Social Development. PNNL-SA-193475.
Pilcher, D. J., Cross, J. N., Monacci, N., Mu, L., Kearney, K. A., Hermann, A. J., & Cheng, W. (2025). Amplified bottom water acidification rates on the Bering Sea shelf from 1970–2022. Biogeosciences, 22(12), 3103–3125. PNNL-SA-197834. https://doi.org/10.5194/bg-22-3103-2025
Liu, Y., Huang, H., Wang, S., Zhang, T., Xu, D., & Chen, Y. (2025). ELM2.1-XGBfire1.0: Improving wildfire prediction by integrating a machine-learning fire model in a land surface model. Geoscientific Model Development, 18(13), 4103–4117. PNNL-SA-202005. https://doi.org/10.5194/gmd-18-4103-2025
Ferdousi-Rokib, N., Malek, K. A., Mitchell, I., Fierce, L. M., & Asa-Awuku, A. (2025). Aerosol hygroscopicity and surface-active coverage for the droplet growth of aerosol mixtures. ACS ES&T Air, 2(8), 1454–1467. PNNL-SA-199780. https://doi.org/10.1021/acsestair.4c00303
Mohiuddin, S., Du, W., Lyu, X., Kim, J., & Nguyen, Q. H. (2025). A two-stage current limiting control strategy for direct-droop-controlled grid-forming inverters. IEEE Transactions on Industry Applications, 61(4), 6472–6483. PNNL-SA-199667. https://doi.org/10.1109/TIA.2025.3544164
Wejnert-Depue, C., Zhang, Y., Casper, K. C., O’Neill, B., & Waldhoff, S. T. (2025). A conceptual framework for residential energy security in the context of clean energy transitions. Energy Research & Social Science, 126, 104096. PNNL-SA-198582. https://doi.org/10.1016/j.erss.2025.104096
Ferracina, F., Beeler, P. A., Halappanavar, M., Krishnamoorthy, B., Minutoli, M., & Fierce, L. M. (2025). Learning to simulate aerosol dynamics with graph neural networks. ACS ES&T Air, 2(8), 1426–1438. PNNL-SA-203852. https://doi.org/10.1021/acsestair.4c00261
Czajka, J. J., Kim, J., Tang, Y., Pomraning, K. R., Mukhopadhyay, A., & Garcia Martin, H. (2025). FluxRETAP: A reaction target prioritization genome-scale modeling technique for selecting genetic targets. Bioinformatics. PNNL-SA-200129. https://doi.org/10.1093/bioinformatics/btaf471
Tarufelli, B. L., Acharya, S. S., Harris, K. M., Mahapatra, K., Vyakaranam, B., Campbell, A. M., et al. (2025). EVERGREEN 2045: An energy mix to decarbonize Washington state—Assessing contributions of small modular reactors to the cost and stability of the future resource mix. In International Conference on Small Modular Reactors and Their Applications. PNNL-SA-199007.
Mongird, K., Bracken, C. W., Burleyson, C. D., Oikonomou, K., Ou, Y., Rice, J. S., et al. (2025). More land is needed for solar and wind infrastructure under a high renewables scenario in the western U.S. by 2050. Communications Earth & Environment, 6, 765. PNNL-SA-203353. https://doi.org/10.1038/s43247-025-02632-3

2024

Duffy, M., Medeiros, B., Gettelman, A., & Eidhammer, T. (2024). Perturbing parameters to understand cloud contributions to climate change. Journal of Climate, 37(1), 213–227. PNNL-SA-192050. https://doi.org/10.1175/JCLI-D-23-0250.1
Dean, W., Munoz, M., Noh, J., Liang, Y., Wang, W., & Gurkan, B. (2024). Tuning and high throughput experimental screening of eutectic electrolytes with co-solvents for redox flow batteries. Electrochimica Acta, 474, 143517. PNNL-SA-194516. https://doi.org/10.1016/j.electacta.2023.143517
Moore, M. R. (2024, January 18). Spectrum advantage at the edge – Agile. Research Symposium: PNNL–Northeastern, Boston, MA. PNNL-SA-194037.
Bracken, C. W., & Voisin, N. (2024, January 18). Developing wind & solar generation data from climate model output. CEATI HOPIG Webinar (online). PNNL-SA-194089.
Cornachione, M. A., & Eldridge, B. C. (2024, January 31). ESPA-Comp algorithm design workshop 1. ESPA-Comp Algorithm Design Workshop 1 (online). PNNL-SA-194031.
Kim, H., Gorman, B. L., Taylor, M. J., & Anderton, C. R. (2024). Atomistic simulations for investigation of substrate and salt effects on lipid in-source fragmentation in secondary ion mass spectrometry: A follow-up study. Biointerphases, 19(1), 011003. PNNL-SA-192467. https://doi.org/10.1116/6.0003281
Cho, J., Kim, K., Kim, S., Shao, Y., Kim, Y., & Park, S. (2024). Substrate-driven catalyst reducibility for oxygen evolution and its effect on the operation of proton exchange membrane water electrolyzers. Small Structures, 5(1), 2300276. PNNL-SA-194097. https://doi.org/10.1002/sstr.202300276
Reinhart, E. D., Studvick, C. M., Tondreau, A. M., Popov, I. A., & Boncella, J. M. (2024). Synthesis and characterization of uranium complexes supported by substituted aryldimethylsilylanilide ligands. Organometallics, 43(3), 284–298. PNNL-SA-191925. https://doi.org/10.1021/acs.organomet.3c00458
Attarzadeh, N., Lakshmi-Narayana, A., Das, D., Tan, S., Shutthanandan, V., & Ramana, C. (2024). One-step synthesis and operando electrochemical impedance spectroscopic characterization of heterostructured MoP–Mo₂N electrocatalysts for stable hydrogen evolution reaction. ACS Applied Materials & Interfaces, 16(6), 6958–6970. PNNL-SA-194810. https://doi.org/10.1021/acsami.3c14160
Kim, D., McNaughton, A. D., & Kumar, N. (2024). Leveraging artificial intelligence to expedite antibody design and enhance antibody–antigen interactions. Bioengineering, 11(2), 185. PNNL-SA-194122. https://doi.org/10.3390/bioengineering11020185
Meyur, R., Purohit, S., & Webb, B. K. (2024). Fortify your defenses: Strategic budget allocation to enhance power grid cybersecurity. In Proceedings of the AAAI Conference on Artificial Intelligence. PNNL-SA-192817. https://doi.org/10.48550/arXiv.2312.13476
Riley, B. J., Chong, S., & Canfield, N. L. (2024). Synthesis of and iodine capture with MSx (Ag₂S, Bi₂S₃, Cu₂S)–polyacrylonitrile composites. New Journal of Chemistry, 48(8), 3352–3356. PNNL-SA-193562. https://doi.org/10.1039/D3NJ05961H
Vu, T., Nguyen, H., Tran, H., & Ojetola, S. T. (2024). Solving differential-algebraic equations in power system dynamic analysis with quantum computing. Energy Conversion and Economics, 5(1), 28–41. PNNL-SA-198844. https://doi.org/10.1049/enc2.12107
Hastings, A. M., Williams, A. N., Surbella, R. G., Hixon, A. R., & Arteaga, A. L. (2024). Structural characterization of a new samarium–sodium heterometallic coordination polymer. Acta Crystallographica Section E: Crystallographic Communications, 80(3), 267–270. PNNL-SA-192267. https://doi.org/10.1107/S2056989024001051
Treat, C., Virkkala, A., Burke, E., Bruhwiler, L., Chatterjee, A., Fisher, J. B., et al. (2024). Permafrost carbon: Progress on understanding stocks and fluxes across northern terrestrial ecosystems. Journal of Geophysical Research: Biogeosciences, 129(3), e2023JG007638. PNNL-SA-195592. https://doi.org/10.1029/2023JG007638
Acharya, S. S., Ghosal, M., Thurber, T. B., Burleyson, C. D., Iyer, G. C., Voisin, N., et al. (2024, February 20). Weather sensitive high spatio-temporal resolution transportation electric load profiles for multiple decarbonization pathways. ISGT NA 2024, Washington, DC. PNNL-SA-194863.
Johnson, C. (2024, March 6). Climate change and crops: How high-performance modeling of bacterial–fungi communities can improve food security and biofuel production in an ever-changing climate. APS March Meeting 2024, Minneapolis, MN. PNNL-SA-195477.
Prozapas, V. N., Diaz Ludovico, I., Zhang, T., Kyle, J. E., Eder, J. G., Berger, M. R., et al. (2024, March 11). Structural proteomics technologies reveal impact of paraoxon exposure on pulmonary cell function. Portland, OR. PNNL-SA-195717.
Samineni, B., Ferdous, S. M., Halappanavar, M., & Krishnamoorthy, B. (2024). Approximate bipartite b-matching using multiplicative auction. In 2024 INFORMS Optimization Society Conference. PNNL-SA-194119.
Hollerbach, A. L., Ibrahim, Y. M., Lin, V. S., Schultz, K. J., Huntley, A. P., Armentrout, P. B., et al. (2024). Identification of unique fragmentation patterns of fentanyl analog protomers using structures for lossless ion manipulations ion mobility–Orbitrap mass spectrometry. Journal of the American Society for Mass Spectrometry, 35(4), 793–803. PNNL-SA-192943. https://doi.org/10.1021/jasms.4c00049
Bracken, C. W. (2024, March 13). Hydrologic systems (and renewable) modeling for power system studies. WSU Practicum (online). PNNL-SA-196094.
Voisin, N., Bracken, C. W., & Burleyson, C. D. (2024, March 14). Overview of GODEEEP’s load, wind, solar, and hydro data products. Salt River Project (online). PNNL-SA-196140.
Hannan, D. W., Arnab, R. I., Parpart, G. G., Kenyon, G. T., Kim, E., & Watkins, Y. Z. (2024). Event-to-video conversion for overhead object detection. In Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI 2024) (pp. 89–92). IEEE Computer Society. PNNL-SA-191687. https://doi.org/10.1109/SSIAI59505.2024.10508655
Mendoza Sanchez, A., & Purohit, S. (2024). GLIMPSE of future power grid models. In IEEE 18th International Conference on Semantic Computing (ICSC 2024) (pp. 224–225). IEEE. PNNL-SA-191994. https://doi.org/10.1109/ICSC59802.2024.00042
Limaye, A. M., Barone, C., Bohm Agostini, N., Minutoli, M., Manzano Franco, J. B., Castellana, V. G., et al. (2024). Towards automated generation of chiplet-based systems. In Proceedings of the 29th Asia and South Pacific Design Automation Conference (ASPDAC 2024) (pp. 771–776). IEEE. PNNL-SA-192586. https://doi.org/10.1109/ASP-DAC58780.2024.10473980
Burleyson, C. D., Bracken, C. W., Oikonomou, K., & Voisin, N. (2024, March 26). Forward looking extreme weather datasets. Tucson, AZ. PNNL-SA-196351.
Vukkum, V., Sanborn, T., Shepherd, J., Saptarshi, S., Basu, R., Horn, T. J., & Gupta, R. (2024). Influence of spatter on porosity, microstructure, and corrosion of additively manufactured stainless steel printed using different island size. Crystals, 14(4), 328. PNNL-SA-197190. https://doi.org/10.3390/cryst14040328
Czajka, J. J., Han, Y., Kim, J., Mondo, S. J., Hofstad, B. A., Robles, A. L., et al. (2024). Genome-scale model development and genomic sequencing of the oleaginous clade Lipomyces. Frontiers in Bioengineering and Biotechnology, 12, 1356551. PNNL-SA-193362. https://doi.org/10.3389/fbioe.2024.1356551
Cheniour, A., Hilty, F. W., Petrie, C. M., & Capps, N. A. (2024). Mesoscale modeling of the effects of accelerated burnup on UO₂ microstructural evolution. Journal of Nuclear Materials, 595, 155036. PNNL-SA-193754. https://doi.org/10.1016/j.jnucmat.2024.155036
Cox, I., Xu, Z., Grzywacz, R., Ong, W., Rasco, B. C., Kitamura, N., et al. (2024). Proton shell gaps in N = 28 nuclei from the first complete spectroscopy study with FRIB Decay Station Initiator. Physical Review Letters, 132(15), 152503. PNNL-SA-197844. https://doi.org/10.1103/PhysRevLett.132.152503
Simonnin, P., Kerisit, S. N., Nakouzi, E., Johnson, T. C., & Rosso, K. M. (2024). Structure and dynamics of aqueous electrolytes at quartz (001) and (101) surfaces. Journal of Physical Chemistry C, 128(16), 6927–6940. PNNL-SA-194870. https://doi.org/10.1021/acs.jpcc.4c00693
Saltiel, T. M., Larson, K. B., Rahman, A., & Coleman, A. (2024, April 16). Airborne LiDAR to improve canopy fuels mapping for wildfire modeling. 7th International Fire Behavior and Fuels Conference, Boise, ID. PNNL-SA-197108.
Raghuraman, S. P., Medeiros, B., & Gettelman, A. (2024). Observational quantification of tropical high cloud changes and feedbacks. Journal of Geophysical Research: Atmospheres, 129(7), e2023JD039364. PNNL-SA-201540. https://doi.org/10.1029/2023JD039364
Sanchez, F. P., Malhotra, A., Schmidt, M., Rumpel, C., & Torn, M. S. (2024). How are deep soils responding to warming? Eos, 105. PNNL-SA-196010. https://doi.org/10.1029/2024EO240173
Ni, Y., Li, X., Wang, T, Meyer, P. A., Ramos, J. L., & Simmons, K. L. (2024). Towards recycling mixed polyolefin wastes via single-step solid-state friction extrusion. Polymer Engineering and Science. PNNL-SA-191816. https://doi.org/10.1002/pen.26776
Wang, Q., & Venkata Subban, C. (2024). Flow-driven enhancement of neodymium and dysprosium separation from aqueous solutions. RSC Sustainability, 2(5), 1400–1407. PNNL-SA-191251. https://doi.org/10.1039/D3SU00403A
Legg, B. A., Zhu, Y., Nakouzi, E., Johnson, T. C., & Rosso, K. M. (2024). Dynamics of electric polarization and relaxation of ions at humid calcite surfaces. Journal of Physical Chemistry C, 128(17), 7275–7285. PNNL-SA-193381. https://doi.org/10.1021/acs.jpcc.4c00107
Riley, B. J. (2024). A multifunctional technology platform for sorbent construction using polyacrylonitrile scaffolds. Industrial & Engineering Chemistry Research, 63(19), 8647–8662. PNNL-SA-193801. https://doi.org/10.1021/acs.iecr.4c00100
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Tan, C., Jiang, M., Patil, D., Ou, Y., Li, Z., Ju, L., et al. (2024). ICED: An integrated CGRA framework enabling DFVS-aware acceleration. In IEEE/ACM 57th International Symposium on Microarchitecture (MICRO 2024) (pp. 1338–1352). IEEE. PNNL-SA-193021. https://doi.org/10.1109/MICRO61859.2024.00099
Sarkar, A., Ghosh, S., Tallent, N. R., & Jannesari, A. (2024). MassiveGNN: Efficient training via prefetching for massively connected distributed graphs. In IEEE International Conference on Cluster Computing (CLUSTER 2024) (pp. 62–73). IEEE. PNNL-SA-200893. https://doi.org/10.1109/CLUSTER59578.2024.00013
Tang, M., Cernuda, J., Ye, J., Guo, L., Tallent, N. R., Kougkas, A., & Sun, X. (2024). DaYu: Optimizing distributed scientific workflows by decoding dataflow semantics and dynamics. In IEEE International Conference on Cluster Computing (CLUSTER 2024) (pp. 357–369). IEEE. PNNL-SA-201286. https://doi.org/10.1109/CLUSTER59578.2024.00038
Yu, M., Ma, X., & Wu, D. (2024). A hierarchical framework for aggregating grid-interactive buildings with thermal and battery energy storage. Journal of Energy Storage, 101(Part B), 113984. PNNL-SA-192992. https://doi.org/10.1016/j.est.2024.113984
Degnan, D. J., Strauch, C. W., Obiri, M. Y., VonKaenel, E. D., Kim, G., Kershaw, J., et al. (2024). Protein–protein interaction networks derived from classical and machine learning-based natural language processing tools. Journal of Proteome Research, 23(12), 5395–5404. PNNL-SA-199871. https://doi.org/10.1021/acs.jproteome.4c00535
Gettelman, A., Forbes, R., Marchand, R, Chen, C., & Fielding, M. (2024). The impact of cloud microphysics and ice nucleation on Southern Ocean clouds assessed with single-column modeling and instrument simulators. Geoscientific Model Development, 17(21), 8069–8092. PNNL-SA-195594. https://doi.org/10.5194/gmd-17-8069-2024
Estevao Da Silva, I. L., Kazman, J., Bramer, L. M., Nicora, C. D., Ren, M. Q., Sambuughin, N., et al. (2024). The human plasma lipidome response to exertional heat tolerance testing. Lipids in Health and Disease, 23(1), 380. PNNL-SA-199090. https://doi.org/10.1186/s12944-024-02322-7
Egersdoerfer, C., Rashid, M., Dai, D., Fang, B., & Tallent, N. R. (2024). Understanding and predicting cross-application I/O interference in HPC storage systems. In Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2024-W) (pp. 1330–1339). IEEE. PNNL-SA-198896. https://doi.org/10.1109/SCW63240.2024.00174
Foley, M., Stone, B. W., Caro, T., Sokol, N., Koch, B. J., Blazewicz, S. J., et al. (2024). Growth rate as a link between microbial diversity and soil biogeochemistry. Nature Ecology & Evolution. PNNL-SA-203861. https://doi.org/10.1038/s41559-024-02520-7
Thomas, D. G., Weems, Z. J., Overstreet, R. E., & Wilson, B. A. (2024). Early inference of nuclear technology-directed research activities of authors from scientific publications. ESARDA Bulletin, 66, 7–27. PNNL-SA-192556. https://doi.org/10.3011/ESARDA.IJNSNP.2024.2
Roy, A., Hubbard, L. R., Overman, N. R., Fiedler, K. R., Horangic, D. B., Hilty, F. W., et al. (2024). Machine learning and molecular dynamics simulations aided insights into condensate ring formation in laser spot welding. Scientific Reports, 14, 30068. PNNL-SA-200209. https://doi.org/10.1038/s41598-024-79755-8
Butreddy, P., Ritchhart, A. J., Wang, Q., Job, H. M., Sushko, M. L., Chun, J., & Nakouzi, E. (2024). Flow-gel approach enables rapid extraction of pure magnesium phase from seawater. Chemical Communications, 60(93), 13718–13721. PNNL-SA-203387. https://doi.org/10.1039/D4CC04711G
Wang, T., Li, X., Li, Z., Liu, T., Wang, X., Devaraj, A., et al. (2024). Upcycled high-strength aluminum alloys from scrap through solid-phase alloying. Nature Communications, 15, 10664. PNNL-SA-196125. https://doi.org/10.1038/s41467-024-53062-2

2023

McCluskey, C., Bardeen, C., DeMott, P., Moore, K., Kreidenweis, S., Hill, T. C., et al. (2023). Simulating Southern Ocean aerosol and ice nucleating particles in the Community Earth System Model version 2. Journal of Geophysical Research: Atmospheres, 128(8), e2022JD036955. PNNL-SA-190772. https://doi.org/10.1029/2022JD036955
Sun, J., Dennis, J., Mickelson, S., Vanderwende, B. J., Gettelman, A., & Thayer-Calder, K. (2023). Acceleration of the Parameterization of Unified Microphysics Across Scales (PUMAS) on the graphics processing unit (GPU) with directive-based methods. Journal of Advances in Modeling Earth Systems, 15(5), e2022MS003515. PNNL-SA-192584. https://doi.org/10.1029/2022MS003515
Taheri, S., Hoyt, C. T., Tewari, V., Kapre, R., Rahiminasab, E., Sachs, K., et al. (2023). Optimal adjustment set for causal query estimation in partially observed biomolecular networks. Bioinformatics, 39(Suppl 1), i494–i503. PNNL-SA-193863. https://doi.org/10.1093/bioinformatics/btad559
Li, X., Gluth, A. E., Zhang, T., & Qian, W. (2023). Thiol redox proteomics: Characterization of thiol-based post-translational modifications. Proteomics, 23(13–14), 2200194. PNNL-SA-193502. https://doi.org/10.1002/pmic.202200194
Neelin, D., Krasting, J. P., Radhakrishnan, A., Liptak, J., Jackson, T., Ming, Y., et al. (2023). Process-oriented diagnostics: Principles, practice, community development, and common standards. Bulletin of the American Meteorological Society, 104(8), E1452–E1468. PNNL-SA-192598. https://doi.org/10.1175/BAMS-D-21-0268.1
McGraw, Z., Storelvmo, T., Polvani, L. M., Hofer, S., Shaw, J. K., & Gettelman, A. (2023). On the links between ice nucleation, cloud phase, and climate sensitivity in CESM2. Geophysical Research Letters, 50(17), e2023GL105053. PNNL-SA-192592. https://doi.org/10.1029/2023GL105053
Metze, D., Schnecker, J., Canarini, A., Fuchslueger, L., Koch, B. J., Stone, B., et al. (2023). Microbial growth under drought is confined to distinct taxa and modified by potential future climate conditions. Nature Communications, 14, 5602. PNNL-SA-193057. https://doi.org/10.1038/s41467-023-41524-y
Davis, N. A., Visioni, D., Garcia, R. R., Kinnison, D. E., Marsh, D. R., Mills, M., et al. (2023). Climate, variability, and climate sensitivity of “middle atmosphere” chemistry configurations of the Community Earth System Model version 2, Whole Atmosphere Community Climate Model version 6 (CESM2(WACCM6)). Journal of Advances in Modeling Earth Systems, 15(9), e2022MS003579. PNNL-SA-192611. https://doi.org/10.1029/2022MS003579
Burleyson, C. D., & Voisin, N. (2023, October 19). Impacts of decarbonization, policy, and climate scenario uncertainty on load forecasts. Portland, ME. PNNL-SA-191793.
Barker, E. I., Bilbrey, J. A., Escobar, J. D., Nguyen, J. H., & Taufique, M. (2023, October 25). Broadening the definition of data sharing: Infrastructure and cultural needs for success. DOE Data Days, Livermore, CA. PNNL-SA-191482.
Burleyson, C. D., Voisin, N., & Bracken, C. W. (2023, October 26). Integration of climate forecasts in bulk power system studies. Online (Washington). PNNL-SA-191582.
Cheung-Wyker, M. S., Kim, H., Sadler, N. C., Bohutskyi, P., Valiev, M., Qian, W., et al. (2024, January 10). PTM-Psi: A Python package to facilitate the computational investigation of post-translational modification on protein structures and their impacts on dynamics and functions. Gordon Research Conference – Protein Folding Dynamics, Houston, TX. PNNL-SA-193780.
Czajka, J. J., Han, Y., Kim, J., Robles, A. L., Hofstad, B. A., Magnuson, J. K., et al. (2023, November 15). Genome-scale model development and genomic sequencing of the oleaginous genus Lipomyces. Santa Fe, NM. PNNL-SA-192363.
Nalam, P. G., Das, D., Shutthanandan, V., & Ramana, C. (2023). a-Quartz phase-stabilization, surface texturing and tunable optical properties of nanocrystalline GeO₂ films made by pulsed-laser deposition: Implications for optical and optoelectronic applications. ACS Applied Optical Materials, 1(11), 1761–1776. PNNL-SA-190823. https://doi.org/10.1021/acsaom.3c00193
Jakob, C., Gettelman, A., & Pitman, A. J. (2023). The need to operationalize climate modelling. Nature Climate Change, 13(11), 1158–1160. PNNL-SA-190788. https://doi.org/10.1038/s41558-023-01849-4
Gettelman, A., Fox-Kemper, B., Flato, G., Klocke, D., Stammer, D., Stevens, B., & Vidale, P. L. (2023). Kilometer-scale modeling of the Earth system: A new paradigm for climate prediction. WMO Bulletin, 72(2). PNNL-SA-192043.
Flato, G., Dunne, J. P., Fox-Kemper, B., Gettelman, A., Hewitt, H., Ilyina, T., Senior, C. A., et al. (2023). New directions in climate modelling: A World Climate Research Programme perspective. WMO Bulletin, 72(2). PNNL-SA-192051.
Saltiel, T. M., Fujimoto, T. C., Larson, K. B., Rahman, A., Coleman, A., Shuvo, S. S., & Pinto, G. A. (2023, December 5). Leveraging aerial systems and generative modeling to improve canopy fuels mapping resolution and periodicity. 10th International Fire Ecology and Management Congress, Monterey, CA. PNNL-SA-192808.
Bracken, C. W., Voisin, N., Burleyson, C. D., Mongird, K., & Oikonomou, K. (2023, December 11). Compound energy droughts in the western United States under decarbonization. American Geophysical Union Fall Meeting 2023, San Francisco, CA. PNNL-SA-193006.
Wang, Q., & Nakouzi, E. (2023). Reaction–diffusion coupling facilitates the sequential precipitation of metal ions from battery feedstock solutions. Environmental Science & Technology Letters, 10(12), 1188–1194. PNNL-SA-191517. https://doi.org/10.1021/acs.estlett.3c00754
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Chen, R., Yin, G., Zhao, W., Yan, K., Wu, S., Hao, D., & Liu, G. (2023). Topographic correction of optical remote sensing images in mountainous areas: A systematic review. IEEE Geoscience and Remote Sensing Magazine, 11(4), 125–145. PNNL-SA-190887. https://doi.org/10.1109/MGRS.2023.3311100
Donald, S., Meyur, R., & Purohit, S. (2023). Hybrid attack graph generation with graph convolutional Deep-Q learning. In Proceedings of the IEEE International Conference on Big Data (BigData 2023) (pp. 3127–3133). IEEE. PNNL-SA-191137. https://doi.org/10.1109/BigData59044.2023.10386675

Research topics

Artificial Intelligence

Data Science & Computing

Generative AI

Publications

2025

2024

2023

Research topics