Zobrazeno 1 - 2
of 2
pro vyhledávání: '"C. K. Groschner"'
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract Machine learning techniques are attractive options for developing highly-accurate analysis tools for nanomaterials characterization, including high-resolution transmission electron microscopy (HRTEM). However, successfully implementing such
Externí odkaz:
https://doaj.org/article/06d22d94fd9449a49007bcefdb85c95e
Autor:
C. K. Groschner, Alexander J. Pattison, Assaf Ben-Moshe, A. Paul Alivisatos, Wolfgang Theis, M. C. Scott
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-7 (2022)
Abstract High-throughput scanning electron microscopy (SEM) coupled with classification using neural networks is an ideal method to determine the morphological handedness of large populations of chiral nanoparticles. Automated labeling removes the ti
Externí odkaz:
https://doaj.org/article/2c2a7f42e40a4d5485be4f1937d3156d