1. Beneficial effect of Fe addition on the catalytic activity of electrodeposited MnOx films in the water oxidation reaction. (10th September 2018) Authors: Etzi Coller Pascuzzi, Marco; Selinger, Elizabeth; Sacco, Adriano; Castellino, Micaela; Rivolo, Paola; Hernández, Simelys; Lopinski, Gregory; Tamblyn, Isaac; Nasi, Roberto; Esposito, Serena; Manzoli, Maela; Bonelli, Barbara; Armandi, Marco Journal: Electrochimica acta Issue: Volume 284(2018) Page Start: 294 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Extensive deep neural networks for transferring small scale learning to large scale systems. Issue 15 (20th March 2019) Authors: Mills, Kyle; Ryczko, Kevin; Luchak, Iryna; Domurad, Adam; Beeler, Chris; Tamblyn, Isaac Journal: Chemical science Issue: Volume 10:Issue 15(2019) Page Start: 4129 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Golem: an algorithm for robust experiment and process optimization. Issue 44 (29th October 2021) Authors: Aldeghi, Matteo; Häse, Florian; Hickman, Riley J.; Tamblyn, Isaac; Aspuru-Guzik, Alán Journal: Chemical science Issue: Volume 12:Issue 44(2021) Page Start: 14792 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Noncovalent functionalization of boron nitride nanotubes using poly(2, 7‐carbazole)s. Issue 13 (12th June 2020) Authors: Rice, Nicole A.; Bodnaryk, William J.; Tamblyn, Isaac; Jakubek, Zygmunt J.; Lefebvre, Jacques; Lopinski, Greg; Adronov, Alex; Homenick, Christa M. Journal: Journal of polymer science Issue: Volume 58:Issue 13(2020) Page Start: 1889 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Scientific intuition inspired by machine learning-generated hypotheses. Issue 2 (14th April 2021) Authors: Friederich, Pascal; Krenn, Mario; Tamblyn, Isaac; Aspuru-Guzik, Alán Journal: Machine learning: science and technology Issue: Volume 2:Issue 2(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Training neural networks using Metropolis Monte Carlo and an adaptive variant. Issue 4 (1st December 2022) Authors: Whitelam, Stephen; Selin, Viktor; Benlolo, Ian; Casert, Corneel; Tamblyn, Isaac Journal: Machine learning: science and technology Issue: Volume 3:Issue 4(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Twin neural network regression is a semi-supervised regression algorithm. Issue 4 (1st December 2022) Authors: Wetzel, Sebastian J; Melko, Roger G; Tamblyn, Isaac Journal: Machine learning: science and technology Issue: Volume 3:Issue 4(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Twin neural network regression. Issue 4 (21st October 2022) Authors: Wetzel, Sebastian Johann; Ryczko, Kevin; Melko, Roger Gordon; Tamblyn, Isaac Journal: Applied AI Letters Issue: Volume 3:Issue 4(2022) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Watch and learn—a generalized approach for transferrable learning in deep neural networks via physical principles. Issue 2 (3rd February 2021) Authors: Sprague, Kyle; Carrasquilla, Juan; Whitelam, Stephen; Tamblyn, Isaac Journal: Machine learning: science and technology Issue: Volume 2:Issue 2(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗