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Artificial Intelligence for Surface‐Enhanced Raman Spectroscopy
Surface‐enhanced Raman spectroscopy (SERS), well acknowledged as a fingerprinting
and sensitive analytical technique, has exerted high applicational value in a broad range of …
and sensitive analytical technique, has exerted high applicational value in a broad range of …
Precursor recommendation for inorganic synthesis by machine learning materials similarity from scientific literature
Synthesis prediction is a key accelerator for the rapid design of advanced materials.
However, determining synthesis variables such as the choice of precursor materials is …
However, determining synthesis variables such as the choice of precursor materials is …
Machine learning for analyses and automation of structural characterization of polymer materials
Structural characterization of polymer materials is a major step in the process of creating
complex materials design-structural-property relationships. With growing interests in artificial …
complex materials design-structural-property relationships. With growing interests in artificial …
Machine-learning rationalization and prediction of solid-state synthesis conditions
There currently exist no quantitative methods to determine the appropriate conditions for
solid-state synthesis. This not only hinders the experimental realization of novel materials …
solid-state synthesis. This not only hinders the experimental realization of novel materials …
Interpretable machine learning enabled inorganic reaction classification and synthesis condition prediction
Data-driven synthesis planning with machine learning is a key step in the design and
discovery of novel inorganic compounds with desirable properties. Inorganic materials …
discovery of novel inorganic compounds with desirable properties. Inorganic materials …
Extracting structured seed-mediated gold nanorod growth procedures from scientific text with LLMs
Although gold nanorods have been the subject of much research, the pathways for
controlling their shape and thereby their optical properties remain largely heuristically …
controlling their shape and thereby their optical properties remain largely heuristically …