Cargando…
Digitizing chemical discovery with a Bayesian explorer for interpreting reactivity data
Interpreting the outcome of chemistry experiments consistently is slow and frequently introduces unwanted hidden bias. This difficulty limits the scale of collectable data and often leads to exclusion of negative results, which severely limits progress in the field. What is needed is a way to standa...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151610/ https://www.ncbi.nlm.nih.gov/pubmed/37068251 http://dx.doi.org/10.1073/pnas.2220045120 |