With the rapidly increasing amount of materials data being generated in a variety of projects, efficient and accurate classification of atomistic structures is essential. A current barrier to ...
Dimension reduction plays a crucial role in machine learning to serve data exploration and visualization 1,2. By transforming data into an embedding space, it reveals the intrinsic structures and ...
A new publication from Opto-Electronic Sciences; DOI 10.29026/oes.2024.240011 , discusses control of light–matter interactions in two-dimensional materials with nanoparticle-on-mirror structures.
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