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Dennis Sheberla
Researcher at Massachusetts Institute of Technology
Publications - 29
Citations - 8326
Dennis Sheberla is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Radical & Electrical measurements. The author has an hindex of 19, co-authored 29 publications receiving 5903 citations. Previous affiliations of Dennis Sheberla include Harvard University & Technion – Israel Institute of Technology.
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Journal ArticleDOI
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
Rafael Gómez-Bombarelli,Jennifer N. Wei,David Duvenaud,José Miguel Hernández-Lobato,Benjamin Sanchez-Lengeling,Dennis Sheberla,Jorge Aguilera-Iparraguirre,Timothy D. Hirzel,Ryan P. Adams,Alán Aspuru-Guzik,Alán Aspuru-Guzik +10 more
TL;DR: In this article, a deep neural network was trained on hundreds of thousands of existing chemical structures to construct three coupled functions: an encoder, a decoder, and a predictor, which can generate new molecules for efficient exploration and optimization through open-ended spaces of chemical compounds.
Journal ArticleDOI
Conductive MOF electrodes for stable supercapacitors with high areal capacitance
Dennis Sheberla,John Christopher Bachman,Joseph S. Elias,Cheng-Jun Sun,Yang Shao-Horn,Mircea Dincă +5 more
TL;DR: This work shows that Ni3(2,3,6,7,10,11-hexaiminotriphenylene)2 (Ni3(HITP)2), a MOF with high electrical conductivity, can serve as the sole electrode material in an EDLC, the first example of a supercapacitor made entirely from neat MOFs as active materials, without conductive additives or other binders.
Journal ArticleDOI
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli,Jennifer N. Wei,David Duvenaud,José Miguel Hernández-Lobato,Benjamin Sanchez-Lengeling,Dennis Sheberla,Jorge Aguilera-Iparraguirre,Timothy D. Hirzel,Ryan P. Adams,Alán Aspuru-Guzik,Alán Aspuru-Guzik +10 more
TL;DR: A method to convert discrete representations of molecules to and from a multidimensional continuous representation that allows us to generate new molecules for efficient exploration and optimization through open-ended spaces of chemical compounds is reported.
Journal ArticleDOI
High Electrical Conductivity in Ni3(2,3,6,7,10,11-hexaiminotriphenylene)2, a Semiconducting Metal–Organic Graphene Analogue
Dennis Sheberla,Lei Sun,Martin A. Blood-Forsythe,Süleyman Er,Casey R. Wade,Carl K. Brozek,Alán Aspuru-Guzik,Mircea Dincă +7 more
TL;DR: Two-probe and van der Pauw electrical measurements reveal bulk and surface conductivity values of 2 and 40 S·cm(-1), respectively, both records for MOFs and among the best for any coordination polymer.
Journal ArticleDOI
Cu3(hexaiminotriphenylene)2: An Electrically Conductive 2D Metal–Organic Framework for Chemiresistive Sensing
TL;DR: Comparison with the isostructural 2D MOF Ni3(HITP)2 shows that the copper sites are critical for ammonia sensing, indicating that rational design/synthesis can be used to tune the functional properties of conductive MOFs.