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Rueck, M.; Garlyyev, B.; Mayr, F.; Bandarenka, A.S.; Gagliardi, A.
Oxygen Reduction Activities of Strained Platinum Core-Shell Electrocatalysts Predicted by Machine Learning
J. Phys. Chem. Lett. 2020, 11, XXX, 1773-1780 2020-02
2020
Feb
1-25
Michaels, H.; Rinderle, M.; Freitag, R.; Benesperi, I.; Edvinsson, T.; Socher, R.; Gagliardi, A.; Freitag, M.
Dye-sensitized solar cells under Ambient Light Powering Machine Learning: Towards autonomous smart sensors for Internet of Things
Chem. Sci., 2020, Accepted Manuscript 2020-02
2020
Feb
1-34
Hussain, K.; Kaiser, W.; Gagliardi, A.
Effect of Polymer Morphology in Dilute Donor Organic Solar Cells
J. Phys. Chem. C 2020, 124, 6, 3517-3528 2020-01
2020
Jan
1-33
Ahrens, V.; Mendisch, S.; Kaiser W.; Kiechle, M.; Becherer, M.
FIB Induced Formation of Artificial Skyrmion Bubble Lattices
710. WE-Heraeus-Seminar / Spin Transport in Complex Magnetic Structures Congress
Bad Honnef, 08 - 10 Jan 2020 2020-01
2020
Stanley, J.C.; Mayr, F.; Gagliardi, A.
Machine Learning Stability and Bandgaps of Lead‐Free Perovskites for Photovoltaics
Adv. Theory Simul. 2019, 1900178 2019-11
2019
Nov
1-6
Darwish, M.; Gagliardi, A.
A drift-diffusion simulation model for organic field effect transistors: On the importance of the Gaussian density of states and traps
Journal of Physics D: Applied Physics-122590.R1 2019-12
2019
Dec
1-11
Gagliardi, A.
Out-of-equilibrium aspects, Font Size: Non-equilibrium efficiency study of organic solar cells using stochastic thermodynamics
StatPhys 27 Main Conference Topic 2: Out-of-equilibrium aspects Gagliardi, presentation
Buenos Aires, Argentina, 08-12 July 2019 2019-07
2019
Singh, A.; Radicchi, E.; Fantacci, S.; De Angelis, F.; Gagliardi, A.
Theoretical Investigation of Interface Electrostatics of Solid-State Dye-Sensitized Solar cells
Dyenamo DSSC Conference, presentation
Uppsala, Sweden, 14-15 Oct 2019 2019-10
2019
Gagliardi, A.; Kaiser, W.
Non-equilibrium efficiency study of organic solar cells using stochastic thermodynamics
StatPhys 27 Main Conference, proceedings, Poster
Buenos Aires, Argentina, 08-12 July 2019 2019-07
2019
Gagliardi, A.; Stanley, J.
Novel Machine Learning Method for Stability and Energy Bandgap Prediction of Lead Free Perovskite Materials
Proceedings of International Conference on Hybrid and Organic Photovoltaics (HOPV19), presentation
Rome, Italy, 12-15 May 2019 2019-05
2019
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