Brianna Greenstein
@greensteinbri
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Chemistry PhD Candidate at University of Pittsburgh
Joined February 2022
RT @ghutchis: Last year, @greensteinbri published v1 of our OPEP model for predicting the performance of organic #solar using #compchem - t…
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RT @JPhysChem: Work by @greensteinbri @ghutchis @Pitt_Chemistry establishes one of the largest data sets of non-fullerene acceptors, a new…
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Check out my newest research, first co-authored with Danielle Elsey, on best practices and hyperparameter tuning of genetic algorithms for molecular discovery!
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RT @ghutchis: Congrats to @greensteinbri for winning a @PGHQuantum Graduate Fellowship "based on her exceptional ability and promise in the…
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RT @ScienceInsider: BREAKING: White House issues new policy that will require, by 2026, all federally-funded research results to be freely…
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RT @ghutchis: While I won't be at #ACSFall2022 in Chicago, my group will be well-represented by @OmriAb @greensteinbri and Danielle Hiener…
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Excited to share my most recent work! I curated one of the largest non-fullerene acceptor/donor datasets to date (1,225 pairs), and also combined ML and genetic algorithms to find highly efficient combinations for tandem organic solar cells.
This work by @greensteinbri is now on @ChemRxiv - first with a huge set of non-fullerene photovoltaics to train ML models, then using the best models (~1.5% error) to discover new *tandem* organic solar cells. #compchem
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2 papers in a week! Excited to share my second publication, published in @JPhysChem Letters on predicting efficiencies with data-driven models for non-fullerene organic solar cells ☀️
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I am so excited to share my first first-author publication, published in @JChemPhys! We used a genetic algorithm to find high-performing non-fullerene acceptors for organic solar cells!
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RT @MCeeP: Mini #CartoonAbstract made for @greensteinbri who was this years #RSCPoster runner up in #RSCDigital
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Honored to have won runner-up with my #RSCposter for #RSCdigital. Thank you @RoySocChem for organizing, it was so fun to be able to share my research virtually with participants around the world!
#RSCPoster runner up for #RSCDigital is @greensteinbri. Congratulations, Brianna on going where no one has gone before.
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@dftba_forthepod This mutation step ensures diversity within the population so we are not limited to the units selected in the initial population.
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@pschwllr Yes! The dataset can be found here: (the references can be found in the supplementary info of the paper) All work for this paper is openly available on our groups's Github:
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@pschwllr Thanks! I curated a dataset containing ~100 non-fullerene acceptors/ polymer donor pairs with experimental PCE. My current work is expanding this dataset to 1000 pairs to update the model.
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