Publication Beamlines Strategic Pillar
Hitchcock, Adam P. (2023). PEMFC analysis using soft X-ray spectromicroscopy: methods and applications. In Jasna Jankovic; Jürgen Stumper(Ed.), PEM Fuel Cells: Characterization and Modeling. Walter de Gruyter GmbH & Co KG. , 137-170 9783110622720. SM Materials
Hitchcock, Adam P. (2022). 3 Polymer surface characterization by near-edge X-ray absorption fine structure spectroscopy. . , 89-124 10.1515/9783110701098-003. SM Materials
Hitchcock, Adam P.; Zhang, Chunyang; Eraky, Haytham; Higgins, Drew; Belkhou, Rachid et al. (2024). Comparison of soft X-ray spectro-ptychography and scanning transmission X-ray microscopy. Journal of Electron Spectroscopy and Related Phenomena 276, 147487. 10.1016/j.elspec.2024.147487. SM Materials
Hitchcock, Adam P.; Zhang, Chunyang; Eraky, Haytham; Shahcheraghi, Ladan; Ismail, Fatma et al. (2021). In-situ and Operando Studies with Soft X-Ray Transmission Spectromicroscopy. Microscopy and Microanalysis 27(S2) , 59-60. 10.1017/s1431927621013295. SM Materials
Ingino, Pablo; Eraky, Haytham; Zhang, Chunyang; Hitchcock, Adam P.; Obst, Martin et al. (2024). Soft X-ray spectromicroscopic proof of a reversible oxidation/reduction of microbial biofilm structures using a novel microfluidic in situ electrochemical device. Scientific Reports 14(1) . 10.1038/s41598-024-74768-9. SM Environment
Karunakaran, Chithra; Ribeiro, Sandra; Botton, Gianluigi; Nogueira Tolentino, Helio Cesar; Hesterberg, Dean et al. (2021). Pan American Light Sources for Agriculture (PALSA) International Conference: “Seeding” Agriculture Research in Synchrotron Facilities. Synchrotron Radiation News 34(6) , 1-3. 10.1080/08940886.2021.2022404. SM Agriculture
Kirpes, Rachel M.; Lei, Ziying; Fraund, Matthew; Gunsch, Matthew J.; May, Nathaniel W. et al. (2022). Solid organic-coated ammonium sulfate particles at high relative humidity in the summertime Arctic atmosphere. Proceedings of the National Academy of Sciences of the United States of America 119(14) . 10.1073/pnas.2104496119. SM Environment
Koo, Bonho; Chung, Jinkyu; Kim, Juwon; Fraggedakis, Dimitrios; Seo, Sungjae et al. (2023). Dynamic surface phases controlling asymmetry of high-rate lithiation and delithiation in phase-separating electrodes. Energy and Environmental Science . 10.1039/d3ee00341h. SM Materials
Lao, Zhoujie; Tao, Kehao; Xiao, Xiao; Qu, Haotian; Wu, Xinru et al. (2025). Data-driven exploration of weak coordination microenvironment in solid-state electrolyte for safe and energy-dense batteries. Nature Communications 16(1) . 10.1038/s41467-024-55633-9. SM, SXRMB Materials
Lau, Graham E.; Trivedi, Christopher B.; Grasby, Stephen E.; Spear, John R.; Cosmidis, Julie et al. (2022). Sulfur- and Iron-Rich Mineralogical Features Preserved in Permafrost in the Canadian High Arctic: Analogs for the Astrobiological Exploration of Mars. Frontiers in Astronomy and Space Sciences 9. 10.3389/fspas.2022.825019. SM Environment
Li, Jinhua; Liu, Peiyu; Menguy, Nicolas; Zhang, Xingliang; Wang, Jian et al. (2022). Intracellular silicification by early-branching magnetotactic bacteria. Science Advances 8(19) . 10.1126/sciadv.abn6045. SM Agriculture
Li, Jinhua; Liu, Peiyu; Tamaxia, Alima; Zhang, Heng; Liu, Yan et al. (2021). Diverse Intracellular Inclusion Types Within Magnetotactic Bacteria: Implications for Biogeochemical Cycling in Aquatic Environments. Journal of Geophysical Research: Biogeosciences 126(7) . 10.1029/2021jg006310. SM Agriculture
Li, Matthew; Liu, Wenwen; Luo, Dan; Chen, Zhongwei; Amine, Khalil et al. (2022). Evidence of Morphological Change in Sulfur Cathodes upon Irradiation by Synchrotron X-rays. ACS Energy Letters 7(2) , 577-582. 10.1021/acsenergylett.1c02531. SM Materials
Li, Menglu; An, Hanwen; Song, Yajie; Liu, Qingsong; Wang, Jian et al. (2023). Ion–Dipole-Interaction-Induced Encapsulation of Free Residual Solvent for Long-Cycle Solid-State Lithium Metal Batteries. Journal of the American Chemical Society . 10.1021/jacs.3c07482. SM Materials
Lin, Binbin; Emami, Nima; Santos, David A.; Luo, Yuting; Banerjee, Sarbajit et al. (2022). A deep learned nanowire segmentation model using synthetic data augmentation. npj Computational Materials 8(1) . 10.1038/s41524-022-00767-x. SM Materials