Publication Beamlines Strategic Pillar
Krüger, Peter; Maekawa, Yuya; Hitchcock, Adam; Bittencourt, Carla (2020). Polarization dependent X-ray absorption near-edge spectra of boron nitride nanotubes. Radiation Physics and Chemistry 175. 10.1016/j.radphyschem.2019.01.014. SM Materials
Lai, Y.; Bone, S. E.; Minasian, S.; Ferrier, M. G.; Lezama-Pacheco, J. et al. (2018). Ferromagnetic quantum critical point in CePd2P2 with Pd → Ni substitution. Physical Review B - Condensed Matter and Materials Physics 97(22) , 224406:1-9. 10.1103/physrevb.97.224406. 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
Lawrence, John R.; Paule, Armelle; Swerhone, George D.W.; Roy, Julie; Grigoryan, Alexander A. et al. (2020). Microscale and molecular analyses of river biofilm communities treated with microgram levels of cerium oxide nanoparticles indicate limited but significant effects. Environmental Pollution 256, 113515. 10.1016/j.envpol.2019.113515. SM
Le Guillou, Corentin; Bernard, Sylvain; De la Pena, Francisco; Le Brech, Yann (2018). XANES-Based Quantification of Carbon Functional Group Concentrations. Analytical Chemistry 90(14) , 8379-8386. 10.1021/acs.analchem.8b00689. SM
Le Nagard, Lucas; Yu, Liu; Rajkotwala, Murtuza; Barkley, Solomon; Bazylinski, Dennis A et al. (2019). Misalignment between the magnetic dipole moment and the cell axis in the magnetotactic bacteriumMagnetospirillum magneticumAMB-1. Physical Biology 16(6) . 10.1088/1478-3975/ab2858. SM Agriculture
Leontowich, A. F. G.; Berg, R.; Regier, C. N.; Taylor, D. M.; Wang, J. et al. (2018). Cryo scanning transmission x-ray microscope optimized for spectrotomography. Review of Scientific Instruments 89(9) , 093704. 10.1063/1.5041009. SM Materials
Lepot, Kevin; Williford, Kenneth H.; Philippot, Pascal; Thomazo, Christophe; Ushikubo, Takayuki et al. (2019). Extreme 13C-depletions and organic sulfur content argue for S-fueled anaerobic methane oxidation in 2.72 Ga old stromatolites. Geochimica et Cosmochimica Acta 244, 522-547. 10.1016/j.gca.2018.10.014. 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, Jinhua; Liu, Peiyu; Wang, Jian; Roberts, Andrew P.; Pan, Yongxin et al. (2020). Magnetotaxis as an Adaptation to Enable Bacterial Shuttling of Microbial Sulfur and Sulfur Cycling Across Aquatic Oxic‐Anoxic Interfaces. Journal of Geophysical Research: Biogeosciences 125(12) . 10.1029/2020jg006012. 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