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ACS Nano|December 20, 2022
Machine Learning Approach to Enable Spectral Imaging Analysis for Particularly Complex Nanomaterial SystemsHaili Jia, Canhui Wang, Chao Wang, et al.Journal of Laboratory Physicians|April 26, 2018
Aggressive angiomyxoma in pregnancy: A rare and commonly misdiagnosed entityKamal Malukani, Amit V Varma, Devashish Choudhary, et al.Nanotechnology|June 7, 2021
Ab Initiomodeling of Near-Edge EELS spectra for chemisorbed moleculesHaili Jia, Canhui Wang, Chao Wang, et al.Journal of Chemical Theory and Computation|October 26, 2023
Transferable Force Field for Gallium Nitride Crystal Growth from the Melt Using On-The-Fly Active LearningXiangyu Chen, William Shao, Nam Q Le, et al.Biophysical Journal|February 25, 2014
Stochastic fusion simulations and experiments suggest passive and active roles of hemagglutinin during membrane fusionDonald W Lee, Vikram Thapar, Paulette Clancy, et al.ACS Applied Materials & Interfaces|September 25, 2020
Transferable Molecular Model of Woven Covalent Organic Framework MaterialsYaset M Acevedo, Nikita Sengar, Meng Min, et al.Chemsuschem|June 29, 2019
A Quantitative Metric for the Design of Selective Supercritical CO2 Extraction of Lithium from Geothermal BrineAndrew W Ruttinger, Arna Pálsdóttir, Jefferson W Tester, et al.Langmuir : the ACS Journal of Surfaces and Colloids|April 3, 2007
Multiscale modeling of self-assembled monolayers of thiophenes on electronic material surfacesMohit Haran, Joseph E Goose, Nicolas P Clote, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 13, 2009
Quantifying stochastic effects in biochemical reaction networks using partitioned leapingLeonard A Harris, Aaron M Piccirilli, Emily R Majusiak, et al.Scientific Reports|October 24, 2014
Connecting the particles in the box--controlled fusion of hexamer nanocrystal clusters within an AB₆ binary nanocrystal superlatticeBenjamin E Treml, Binit Lukose, Paulette Clancy, et al.Pageof 6