--Dataset Name--
oxidized PB2T-TEG
--Authors--
Nicholas Marchese; Department of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA; 0009-0007-3490-4226
Arthur R. C. McCray; Department of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA; 0000-0001-6077-4698
Yael Tsarfati; SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA 94025, USA; 0009-0006-5685-1279
Karen Bustillo; National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA; 0000-0002-2096-6078
Adam Marks; Department of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA; 0000-0001-9819-4349
Alberto Salleo; Department of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA; 0000-0002-7448-9123
Colin Ophus; Department of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA; 0000-0003-2348-8558
--URL--
https://drive.google.com/file/d/1rAk2RrTbk0TgFFMqaJuO1PVL3uIv_0rs/view?usp=drive_link
--File Name--
STEM SI.dm4
--Checksum--
f24c18151e5b57e49792ee105466d7f0
--Size (bytes)--
No response
--Description--
A 4DSTEM dataset of oxidized PB2T-TEG polymer, an OMIEC material. 48kX magnification, 80x80 pixels, step size of 20 nm, 26.6 msec dwell, spot size of 6, 15 eV monochromator slit, convergence semiangle of 0.75 mrad, under liquid nitrogen conditions. Taken March 20th, 2025.
--Detector Manufacturer--
Gatan
Detector Model
K3
Microscope Vendor
Thermo Fisher Scientific
Microscope Model
TEAM I
Camera Length
2100
Accelerating Voltage
300 kV
Dataset License
CC-BY-4.0
Technique
DOI
https://doi.org/10.48550/arXiv.2607.16570
Tags
Nanobeam, polymers, machine learning, ML, TEM, 4DSTEM, 4D-STEM, peak finding, ionic, electronic, conductor, conjugated polymer, ML, OMIEC
Kind
dataset
Version Date
No response
Model Class
No response
Model Framework
No response
Model quantem
No response
--Dataset Name--
oxidized PB2T-TEG
--Authors--
Nicholas Marchese; Department of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA; 0009-0007-3490-4226
Arthur R. C. McCray; Department of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA; 0000-0001-6077-4698
Yael Tsarfati; SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA 94025, USA; 0009-0006-5685-1279
Karen Bustillo; National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA; 0000-0002-2096-6078
Adam Marks; Department of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA; 0000-0001-9819-4349
Alberto Salleo; Department of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA; 0000-0002-7448-9123
Colin Ophus; Department of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA; 0000-0003-2348-8558
--URL--
https://drive.google.com/file/d/1rAk2RrTbk0TgFFMqaJuO1PVL3uIv_0rs/view?usp=drive_link
--File Name--
STEM SI.dm4
--Checksum--
f24c18151e5b57e49792ee105466d7f0
--Size (bytes)--
No response
--Description--
A 4DSTEM dataset of oxidized PB2T-TEG polymer, an OMIEC material. 48kX magnification, 80x80 pixels, step size of 20 nm, 26.6 msec dwell, spot size of 6, 15 eV monochromator slit, convergence semiangle of 0.75 mrad, under liquid nitrogen conditions. Taken March 20th, 2025.
--Detector Manufacturer--
Gatan
Detector Model
K3
Microscope Vendor
Thermo Fisher Scientific
Microscope Model
TEAM I
Camera Length
2100
Accelerating Voltage
300 kV
Dataset License
CC-BY-4.0
Technique
DOI
https://doi.org/10.48550/arXiv.2607.16570
Tags
Nanobeam, polymers, machine learning, ML, TEM, 4DSTEM, 4D-STEM, peak finding, ionic, electronic, conductor, conjugated polymer, ML, OMIEC
Kind
dataset
Version Date
No response
Model Class
No response
Model Framework
No response
Model quantem
No response