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https://compass.engin.umich.edu/wp-content/plugins/zotpress/
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Lin, X., Kim, C., Vo, T., Waltmann, T., Liu, H., Lu, J., Li, J., Liu, Y.-S., Kannur, S., Lee, J., Hwang, C.-Y., Kalutantirige, F. C., Yao, L., Kotov, N. A., Glotzer, S. C., & Chen, Q. (2026). The importance of nano-edges in atomic stencilling and chiroptically active assembly of patchy gold tetrahedra. Nature Synthesis, 1–14. https://doi.org/10.1038/s44160-026-01095-4
Hallstrom, J., Pan, P., Sia, J., Bae, S., Qian, D., Qian, C., Liu, S., Yao, L., Truskett, T. M., Milliron, D. J., Chen, Q., Mao, X., Bogdan, P., & Kotov, N. A. (2026). Decoding collective dynamics and complexity in nanoparticle assemblies using graph theory. Science, 392(6799), eaeb5134. https://doi.org/10.1126/science.aeb5134
Jamadgni, D. U., Pineda, L. A., & Thuo, M. (2026). Optimizing Solid Lubricity in Complex Particle Flow. ACS Materials Au, acsmaterialsau.5c00260. https://doi.org/10.1021/acsmaterialsau.5c00260
Batoum, R. T., Mugnai, M. L., & Del Gado, E. (2026). Gel architecture controls dissipation in fibrous double networks. Journal of Materials Research. https://doi.org/10.1557/s43578-026-01793-x
Dadfar, B., Kabay, G., Franzreb, M., Whisnant, K., Kotov, N. A., & Lahann, J. (2026). Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach. Advanced Intelligent Discovery, e202500225. https://doi.org/10.1002/aidi.202500225
Jones, N. A., Kadiyala, U., Serratos, B., VanEpps, J. S., & Lahann, J. (2026). Targeting of Bacteria Using Amylase-Degradable, Copper-Loaded Starch Nanoparticles. Antibiotics, 15(1), 56. https://doi.org/10.3390/antibiotics15010056
Meng, X., Piazza, B., Both, C., Barzel, B., & Barabási, A.-L. (2026). Surface optimization governs the local design of physical networks. Nature, 649(8096), 315–322. https://doi.org/10.1038/s41586-025-09784-4
Li, S., & Mao, X. (2026). Topological mechanical neural networks as classifiers through in situ backpropagation learning. Mechanical Systems and Signal Processing, 250, 114198. https://doi.org/10.1016/j.ymssp.2026.114198
Kim, H.-J., Zeng, Y., Velikov, K. P., & Velev, O. D. (2026). Deposition of hierarchically porous cellulose microfibril films via emulsion templating and drying at ambient temperature. Food Hydrocolloids, 171, 111854. https://doi.org/10.1016/j.foodhyd.2025.111854
Boyjoo, Y., Lee, J., Hwang, C.-Y., Qin, L., Wang, Y., White, J. C., Chen, Q., & Bhaw-Luximon, A. (2026). The art of evasion at the nanoscale: Engineered CuS nanovaccines resist extracellular sequestration in plants. Chemical Engineering Journal, 529, 173295. https://doi.org/10.1016/j.cej.2026.173295
Sarafska, T., Ivanova, S., Gateshki, M., Sachanska, G., Velev, O. D., & Spassov, T. (2026). Filamentous Chitosan Mats by Antisolvent Precipitation in the Regime of Turbulent Liquid Mixing. Nano Select, 7(1), e70102. https://doi.org/10.1002/nano.70102
Jamadgni, D. U., Gregory, P., Xiao, X. Y., Martin, A., Kiptoo, D., Jones, A. M., Nguyen, K. T., Banerjee, S., Visheratina, A., Muyanja, N., Chang, B., Bogdan, P., Kotov, N. A., & Thuo, M. (2026). Graph theory-based bio-derived solid lubricant. Matter, 9(1), 102474. https://doi.org/10.1016/j.matt.2025.102474
Huët, M. A. L., Jamadgni, D. U., Soomaroo, A., Mndlovu, H., Choonara, Y. E., Thuo, M. M., & Bhaw-Luximon, A. (2026). Cellulose-lignin wound patch on Janus textile support for dual tissue regeneration and antibacterial action in cutaneous leishmaniasis wounds. International Journal of Biological Macromolecules, 335, 149318. https://doi.org/10.1016/j.ijbiomac.2025.149318
Buchholtz, W. C. J., Blair, D. L., Urbach, J. S., Vinutha, H. A., & Del Gado, E. (2026). Disentangling microstructural elements of shear thickening suspensions via computer simulations of a minimal model. Soft Matter, 10.1039.D5SM00928F. https://doi.org/10.1039/D5SM00928F
Morales, C. A. F., Pizzo, Z., Sweeney, D. M., Hu, Z., Sharma, G. P., Park, S., Li, M., Penukula, S., Wang, B., Dobre, A., Seong, S., Shtein, M., Rolston, N., Liu, A. T., Singh, N., Goldsmith, B. R., & Gong, X. (2025). Multilayer Formation, Interfacial Binding, and Stability of Self-Assembled Molecules in Perovskite Solar Cells. Journal of the American Chemical Society, 147(52), 48136–48146. https://doi.org/10.1021/jacs.5c15955
Martin, A., Nguyen, K., Zaatini, S., Lastovich, M., Gwalani, B., Bogdan, P., & Thuo, M. M. (2025). Graph‐Theory Approach to Element Miscibility and Alloy Design. Advanced Science, e21018. https://doi.org/10.1002/advs.202521018
Im, S. W., Ma, J., Moudgal, N., & Kotov, N. (2025). Fourier Helicity Spectra as Quantifiers of Multiscale Chirality. https://doi.org/10.64898/2025.12.15.694500
Rompokos, A. A., Bogdan, P., & Jonckheere, E. (2025). Discrete Ricci Flow for Detecting Gaps in Adiabatic Quantum Processes. 2025 IEEE 64th Conference on Decision and Control (CDC), 7659–7664. https://doi.org/10.1109/CDC57313.2025.11312383
Moudgal, N., Ma, J., Turali Emre, E. S., & Kotov, N. A. (2025). Multiscale chiral zeros in biomolecules. Communications Chemistry, 8(1), 416. https://doi.org/10.1038/s42004-025-01808-4
Pal, S., Patra, A., Kim, J., Roh, S., Rajbangshi, J., Van Lehn, R. C., Lahann, J., & Abbott, N. L. (2025). Formation of Interconnected Nanofiber Sheets by Chemical Vapor Polymerization at the Free Surface of Liquid Crystalline Films. Angewandte Chemie International Edition, 64(47), e202515703. https://doi.org/10.1002/anie.202515703
