TY  - GEN 
AU  - Nuñez Andrade, Emilio
AU  - Vidal-Daza, Isaac
AU  - Ryan, James W.
AU  - Gómez- Bombarelli, Rafael
AU  - Martin Martinez, Francisco J.
PY  - 2025
UR  - https://hdl.handle.net/10481/102754
AB  - The practical implementation of deep learning methods for chemistry applications relies on encoding chemical structures into machine-readable formats that can be efficiently processed by computational tools. To this end, One Hot Encoding (OHE) is an...
LA  - eng
PB  - Royal Society of Chemistry
TI  - Embedded machine-readable molecular representation for resource-efficient deep learning applications
DO  - 10.1039/d4dd00230j
ER  -