Up a level |
Moore, Gareth John; Bardagot, Olivier; Banerji, Natalie (2022). Deep Transfer Learning: A Fast and Accurate Tool to Predict the Energy Levels of Donor Molecules for Organic Photovoltaics. Advanced theory and simulations, 5(5), p. 2100511. Wiley 10.1002/adts.202100511
Shivhare, Rishi; Moore, Gareth John; Hofacker, Andreas; Hutsch, Sebastian; Zhong, Yufei; Hambsch, Mike; Erdmann, Tim; Mannsfeld, Stefan C.B.; Ortmann, Frank; Banerji, Natalie (2021). Short Excited State Lifetimes Mediate Charge Recombination Losses in Organic Solar Cell Blends with Low Charge Transfer Driving Force. Advanced materials, 34(22), p. 2101784. Wiley-VCH 10.1002/adma.202101784
Zhong, Yufei; Causa', Martina; Moore, Gareth John; Krauspe, Philipp; Xiao, Bo; Günther, Florian; Kublitski, Jonas; Shivhare, Rishi; Benduhn, Johannes; BarOr, Eyal; Mukherjee, Subhrangsu; Yallum, Kaila M.; Réhault, Julien; Mannsfeld, Stefan C. B.; Neher, Dieter; Richter, Lee J.; DeLongchamp, Dean M.; Ortmann, Frank; Vandewal, Koen; Zhou, Erjun; ... (2020). Sub-picosecond charge-transfer at near-zero driving force in polymer:non-fullerene acceptor blends and bilayers. Nature Communications, 11(1) Springer Nature 10.1038/s41467-020-14549-w
Moore, Gareth John; Causa', Martina; Martinez Hardigree, Josue F.; Karuthedath, Safakath; Ramirez, Ivan R.; Jungbluth, Anna; Laquai, Frédéric; Riede, Moritz K.; Banerji, Natalie (2020). Ultrafast Charge Dynamics in Dilute-Donor versus Highly Intermixed TAPC:C60 Organic Solar Cell Blends. The journal of physical chemistry letters, 11(14), pp. 5610-5617. American Chemical Society 10.1021/acs.jpclett.0c01495