Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production
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Dive into the research topics where Alessio Gagliardi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Synthesizer: Chemistry-Aware Machine Learning for Precision Control of Nanocrystal Growth
Henke, N. A., Luber, L., Kouroudis, I., Paul, J., Schuhbeck, A., Rescher, L. M., Lorenzen, T., Mayer, V., Müller-Caspary, K., Nickel, B., Gagliardi, A. & Urban, A. S., 16 Jan 2026, In: Advanced Materials. 38, 4, e09472.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
A Kinetic Monte Carlo Model to Understand Limiting Regimes of Photocurrent and Interfacial Charge Transfer in Organic Semiconductor–Electrolyte Interfaces
Wang, S., Gößwein, M., Tullii, G., Marzuoli, C., Antognazza, M. R. & Gagliardi, A., 8 Dec 2025, In: Advanced Materials Interfaces. 12, 23, e00343.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
AUGUR, a flexible and efficient optimization algorithm for identification of optimal adsorption sites
Kouroudis, I., Poonam, Misciasci, N., Mayr, F., Müller, L., Gu, Z. & Gagliardi, A., Dec 2025, In: npj Computational Materials. 11, 1, 136.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Auristor: Self-Learning Edge States from Chirality-Breaking Growth of Graphene Nanoribbons–A Computational Study of Resonant Scattering and Memcapacitive Behavior
Turfanda, A. & Gagliardi, A., 28 Aug 2025, In: Journal of Physical Chemistry C. 129, 34, p. 15393-15408 16 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Comparative convolutional neural networks for perovskite solar cell PCE predictions
Harth, M., Kumar, D. K., Kassou, S., El Idrissi, K., Gupta, R. K., Daniel, Y., Makdasi, O., Visoly-Fisher, I. & Gagliardi, A., Dec 2025, In: npj Computational Materials. 11, 1, 251.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations