April 2020 – Thank you to former postdoctoral associate, Eamonn Kennedy, who made much of our work possible. Eamonn will be assuming a new position at the University of Utah. Good luck, Eamonn!
February 20, 2020 – Congratulations to the Mol Info team for publishing its newest paper entitled â€śPrinciples of Information Storage in Small-Molecule Mixtures.â€ť In this work, we derive the foundational equations that underlie mixture-based molecular information storage. We also show how DNA-based information storage can be viewed as a form of mixture-based storage and what the capacity limits are for these two respective approaches.
February 4, 2020 – Congratulations to the DARPA Molecular Informatics team for having its paper entitled â€śMulticomponent Molecular Memoryâ€ť published in Nature Communications!
In this paper, we demonstrate how over 1 MB ofÂ information, including Picasso portraits(!), can be stored in and retrieved from molecular mixtures of multicomponent Ugi molecules. Ugi reactions enable the synthesis of a combinatorial number of different molecules with just a few different reactions. Cutting-edge mass spectrometry then enables us to read these mixtures out. For more information, visit:
July 2019 – Congratulations to Eamonn, Chris, and the team for publishing their new article, â€śEncoding Information in Synthetic Metabolomesâ€ť on storing information in synthetic metabolomes! This article describes how information can be stored in everyday metabolites. Check out some of the related press, including a highlight in Nature magazine!
March 2019 – The DARPA Molecular Informatics team hosted the Brown Molecular and Quantum Computing Symposium. Thank you to all – and OVPR in particular – for making this a success. Thank you to our invited speakers: Shuki Bruck, Isaac Chuang, Steve Girvin, and David Schuster for giving inspiring talks!
October 19, 2018 – The Brown DARPA Molecular Informatics team welcomes Senator Jack Reed and DARPA Director Dr. Steven Walker to campus. We are exciting to demonstrate our new molecular storage and computing techniques in action, and to walk them through our DARPA-funded, state-of-the-art laboratory!
October 8, 2018 – Thanks to generous support from the Brown Vice-President for Research, Prof. Jill Pipher, and the Brown Physics Department Houghton Endowment, we are happy to announce that Brown will be holding its first Symposium on Molecular and Quantum Computing on the weekend of March 8/9, 2019. The Symposium will feature several well-known keynote speakers, topical break out sessions with contributed talks, and a few educational sessions for the public. This should be a unique opportunity for the Brown community to learn more about the future of molecular and quantum computation!
October 5, 2018 – Congratulations to the Brown DARPA team for submitting its paper on the â€śTheory of Information Storage in Molecular Mixturesâ€ť! Wish us luck during the review process!
September 1, 2018 – Congratulations to the Brown DARPA Molecular Informatics Team, and Chris Arcadia, Hokchhay Tann, Kady Ferguson, and Amanda Dombroski, in particular, on the acceptance of its paper â€śParallelized Linear Classification with Volumetric Chemical Perceptronsâ€ť to the IEEE Rebooting Computing Conference! The paper describes how machine learning algorithms may be realized using molecules to classify handwritten images.
July 20, 2018 – The Brown DARPA team is excited to announce the arrival of its 7T Bruker SolariX Fourier Transform Ion Cyclotron Resonance Mass Spectrometer from France! This mass spectrometer is one of the highest resolution and fastest on the market, and will substantially accelerate our molecular informatics efforts!
July 5, 2018 – The Brown DARPA Molecular Informatics Lab has opened its doors in Barus and Holley 348/350! We thank the Office of the Vice-President for Research for all of its assistance helping renovate the lab and secure its instrumentation.
June 2018 – Congratulations to Aaron Ray and Chris Rose for having their paper â€śComputing with Chemicals: Perceptrons Using Mixtures of Small Moleculesâ€ť accepted to the IEEE International Symposium on Information Theory! The paper details how perceptrons can be built from everyday chemical reactions.