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4 changes: 4 additions & 0 deletions readme.md
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Expand Up @@ -68,6 +68,7 @@ Examples of SDLs which are used primarily in academic research settings.

#### 2022
- [A Self-Driving Laboratory Designed to Accelerate the Discovery of Adhesive Materials](https://doi.org/10.1039/D2DD00029F). Rooney, M. B.; MacLeod, B. P.; Oldford, R.; Thompson, Z. J.; White, K. L.; Tungjunyatham, J.; Stankiewicz, B. J.; Berlinguette, C. P. *Digital Discovery* 2022, 10.1039.D2DD00029F.
- [Autonomous retrosynthesis of gold nanoparticles via spectral shape matching](https://doi.org/10.1039/D2DD00025C). Vaddi, Kiran; Huat Thart Chiang; and Lilo D. Pozzo. *Digital Discovery* 2022, 10.1039/D2DD00025C.

#### 2021
- [Autonomous Materials Synthesis via Hierarchical Active Learning of Nonequilibrium Phase Diagrams](https://doi.org/10.1126/sciadv.abg4930). Ament, S.; Amsler, M.; Sutherland, D. R.; Chang, M.-C.; Guevarra, D.; Connolly, A. B.; Gregoire, J. M.; Thompson, M. O.; Gomes, C. P.; van Dover, R. B. *Sci. Adv.* 2021, 7 (51), eabg4930.
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### Other
- [Olympus](https://github.com/aspuru-guzik-group/olympus) is a benchmarking framework based primarily on data collected from experimental self-driving lab setups.
- Functional Data Analysis
- [Amplitude-Phase-Distance](https://github.com/kiranvad/Amplitude-Phase-Distance) is a Riemannian differential geometry toolbox to compute a `shape' distance between electromagnetic spectra, scattering, or diffraction profiles.
- [autophasemap](https://github.com/pozzo-research-group/papers/tree/main/autophasemap) is a clustering and phase mapping toolbox using the amplitude phase distance for autonomous construction of phasemaps from spectra-like data.

## People
WIP
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