Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Clio Batali"'
Autor:
Richa Ramesh Naik, Armi Tiihonen, Janak Thapa, Clio Batali, Zhe Liu, Shijing Sun, Tonio Buonassisi
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-8 (2022)
Abstract While machine learning (ML) in experimental research has demonstrated impressive predictive capabilities, extracting fungible knowledge representations from experimental data remains an elusive task. In this manuscript, we use ML to infer th
Externí odkaz:
https://doaj.org/article/7f5dd6010ad243e2beb728d113811604
Autor:
Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
The stability of perovskite solar cells can be improved by using hybrid-organic perovskites capping-layers atop the active material. Here the authors use machine learning to optimize capping layers by monitoring time to degradation of differently cap
Externí odkaz:
https://doaj.org/article/861c90d6759a4ed095d7c0e936f97937
Autor:
Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-1 (2020)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/731a37620bbf4b759c6afcb2c19c82e8
Autor:
Rodolfo Keesey, Armi Tiihonen, Alexander E. Siemenn, Thomas W. Colburn, Shijing Sun, Noor Titan Putri Hartono, James Serdy, Margaret Zeile, Keqing He, Cole A. Gurtner, Austin C. Flick, Clio Batali, Alex Encinas, Richa R. Naik, Zhe Liu, Felipe Oviedo, I. Marius Peters, Janak Thapa, Siyu Isaac Parker Tian, Reinhold H. Dauskardt, Alexander J. Norquist, Tonio Buonassisi
This study is motivated by the desire to disseminate a low-cost, high-precision, high-throughput environmental chamber to test materials and devices under elevated humidity, temperature, and light. This paper documents the creation of an open-source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ff8efb4880a3c06c374706e9a2af112
https://doi.org/10.26434/chemrxiv-2022-wp18w-v2
https://doi.org/10.26434/chemrxiv-2022-wp18w-v2
Autor:
Jason J. Yoo, Zhe Liu, Anuj Goyal, Zekun Ren, Yicheng Zhao, Armi Tiihonen, Felipe Oviedo, Janak Thapa, Ruipeng Li, Thomas Heumueller, Clio Batali, Alex Encinas, I. Marius Peters, Noor Titan Putri Hartono, Shijing Sun, Vladan Stevanović, Moungi G. Bawendi, Tonio Buonassisi, John W. Fisher, Christoph J. Brabec
Publikováno v:
Matter 4(4), 1305-1322 (2021). doi:10.1016/j.matt.2021.01.008
Summary Search for resource-efficient materials in vast compositional spaces is an outstanding challenge in creating environmentally stable perovskite semiconductors. We demonstrate a physics-constrained sequential learning framework to subsequently
Autor:
Richa Ramesh Naik, Armi Tiihonen, Janak Thapa, Clio Batali, Zhe Liu, Shijing Sun, Tonio Buonassisi
While machine learning (ML) in experimental research has demonstrated impressive predictive capabilities, inductive reasoning and knowledge extraction remain elusive tasks, in part because of the difficulty extracting fungible knowledge representatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1a3b2904e59b51c8934f6d06db9694c
http://arxiv.org/abs/2106.10951
http://arxiv.org/abs/2106.10951
Autor:
Clio Batali, Zhe Liu, Shijing Sun, Noor Titan Putri Hartono, Moungi G. Bawendi, Ruipeng Li, Jason J. Yoo, Armi Tiihonen, David Fuertes Marrón, Felipe Oviedo, Janak Thapa, Tonio Buonassisi
Publikováno v:
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-1 (2020)
Nature Communications, Vol 11, Iss 1, Pp 1-1 (2020)
Environmental stability of perovskite solar cells (PSCs) has been improved by trial-and-error exploration of thin low-dimensional (LD) perovskite deposited on top of the perovskite absorber, called the capping layer. In this study, a machine-learning
Autor:
Clio Batali, Alex Encinas, Zekun Ren, Janak Thapa, Tonio Buonassisi, Shijing Sun, Felipe Oviedo, Vladan Stevanović, Ruipeng Li, Moungi G. Bawendi, Anuj Goyal, John W. Fisher, Armi Tiihonen, Noor Titan Putri Hartono, Zhe Liu, Jason J. Yoo
Compositional search within multinary perovskites employing brute force synthesis are prohibitively expensive in large chemical spaces. To identify the most stable multi-cation lead iodide perovskites containing Cs, formamidinium (FA) and methylammon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c7a55e40eba5e880efa3fd5f1eb0f24
https://doi.org/10.26434/chemrxiv.12601997.v1
https://doi.org/10.26434/chemrxiv.12601997.v1
Autor:
Felipe Oviedo, Jason J. Yoo, Clio Batali, Shijing Sun, Moungi G. Bawendi, Armi Tiihonen, Zhe Liu, Noor Titan Putri Hartono, Ruipeng Li, David Fuertes Marrón, Tonio Buonassisi, Janak Thapa
Publikováno v:
2020 47th IEEE Photovoltaic Specialists Conference (PVSC).
After reaching a device efficiency level comparable to silicon, perovskite solar cell's next big challenge is to tackle its environmental instability issue. To solve this problem, researchers have started incorporating a buffer layer called ‘cappin
Autor:
Moungi G. Bawendi, Noor Titan Putri Hartono, Ruipeng Li, Tonio Buonassisi, Felipe Oviedo, David Fuertes Marrón, Zhe Liu, Jason J. Yoo, Clio Batali, Shijing Sun, Janak Thapa, Armi Tiihonen
Publikováno v:
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Environmental stability of perovskite solar cells (PSCs) has been improved by trial-and-error exploration of thin low-dimensional (LD) perovskite deposited on top of the perovskite absorber, called the capping layer. In this study, a machine-learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46c617934bc9075a7db0d25c538f035b
https://doi.org/10.26434/chemrxiv.11766528
https://doi.org/10.26434/chemrxiv.11766528