Examinando por Autor "Amassian, Aram"

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Environmental impact of the production of graphene oxide and reduced graphene oxide
(SPRINGER NATURE, 2019-01-25) Serrano-Lujan, Lucía; Víctor-Román, Sandra; Toledo, Carlos; Snahuja-Parejo, Olga; Mansour, Ahmed; Abad, Jose; Amassian, Aram; Benito, Ana M.; Maser, Wolfgang; Urbina, Antonio
Reduced graphene oxide (rGO) is widely seen as the most promising route for the low-cost mass production of graphene for many applications ranging from ultrathin electrodes to structural nanocomposites. The Hummers and Marcano methods are the two most successful approaches for producing high-performance rGO, but have been criticized for producing toxic emissions. We have applied life cycle assessment methodology to evaluate the environmental impacts of both production routes for GO and rGO in the context of applications requiring bulk materials or thin coatings. We find no current obstacle to the industrial scale production of graphene arising from its environmental impact. The cumulative energy demand is found to have a cap value between 20.7 and 68.5 GJ/Kg, a relatively high value; impact in other cat- egories (such as human toxicity or resource depletion) is lower, and materials inventory does not include critical/strategic materials other than graphite itself. Our study proposes 1 kg of graphene as functional unit, and an application-specific functional unit normalized by conductivity which show that Hummers production method is far more suitable for bulk applications of graphene, with lower embedded energy per kg of graphene production, while Marcano’s production method is better suited for thin film electronic applications.
Sustainable materials acceleration platform reveals stable and efficient wide-bandgap metal halide perovskite alloys
(Matter, 2023-07-25) Wang, Tonghui; Li, Ruipeng; Ardekani, Hossein; Serrano-Lujan, Lucia; Wang, Jiantao; Ramezani, Mahdi; Wilmington, Ryan; Chauhan, Mihirsinh; Epps, Robert; Darabi, Kasra; Guo, Boyu; Sun, Dali; Abolhasani, Milad; Gundogdu, Kenan; Amassian, Aram
The vast chemical space of emerging semiconductors, like metal halide perovskites, and their varied requirements for semiconductor applications have rendered trial-and-error environmentally unsustainable. In this work, we demonstrate RoboMapper, a materials acceleration platform (MAP), that achieves 10-fold research acceleration by formulating and palletizing semiconductors on a chip, thereby allowing high-throughput (HT) measurements to generate quantitative structure-property relationships (QSPRs) considerably more efficiently and sustainably. We leverage the RoboMapper to construct QSPR maps for the mixed ion FA1−yCsyPb(I1−xBrx)3 halide perovskite in terms of structure, bandgap, and photostability with respect to its composition. We identify wide-bandgap alloys suitable for perovskite-Si hybrid tandem solar cells exhibiting a pure cubic perovskite phase with favorable defect chemistry while achieving superior stability at the target bandgap of ∼1.7 eV. RoboMapper’s palletization strategy reduces environmental impacts of data generation in materials research by more than an order of magnitude, paving the way for sustainable data-driven materials research.