Olsen Lab @ MIT
@olsenlabmit
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Se souber, faça; se não souber, aprenda; se aprender, ensine. || If you know how, act; if you don’t know how, learn; once you have learned, teach others.
Cambridge, MA
Joined February 2016
This framework enables characterization of network topology in terms of local cyclic structures, and is readily generalizable to complex networks beyond polymers, facilitating study of topology-property correlations.
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Check out the new article by Devosmita Sen and Bradley Olsen in Physical Review Materials! https://t.co/31oOseQXLj . In this work, we present a fast cycle counting algorithm to quantify polymer network topology based on the concept of 3D-Nets.
journals.aps.org
Polymer networks invariably possess topological inhomogeneities in the form of loops and dangling ends. The macroscopic properties of such materials are directly dependent on the local cyclic...
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This work is important for developing accurate and efficient search engines for large-scale polymer database platforms, such as #CRIPT
https://t.co/5qECPG7i6s. Thanks to all the co-authors: @runzhong_wang @njrebello @SabrinnaLu #polymer #similarity_search #deeplearning
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Jiale Shi @Jiale_Shi et al. developed MacroSimGNN for efficient and accurate calculation of macromolecule pairwise similarity via graph neural network and developed robust landmark distance embedding based on the pairwise similarity. https://t.co/ixBSGegjJY
@MIT @NIST #GNN
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We would like to warmly welcome postdoctoral associate Dr. Jignesh Mahajan (@JigneshSMahajan) to the group, who got his PhD at the University of Delaware with Prof. LaShanda Korley (@DrLkorley) and Prof. Thomas H. Epps, III (@TheppsMIT) (@udmseg) (@crisp_ud)
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Yu Zheng @yuzhengstanford et al. applied a custom-built rheo-fluorescence set up to directly see and quantify molecular level dynamic behaviors of associative polymer network under large shear deformation
pubs.acs.org
Shear thinning of associative polymers is tied to bond breakage under deformation and retraction of dangling chains, as predicted by transient network theories. However, an in-depth understanding of...
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We would like to warmly welcome postdoctoral associate Dr. Zixian Cui @cui_zixian to the group, who got her Ph.D. at the University of Virginia @UVA with Prof. Letteri @rachel_letteri!
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New research in @JPolymSci: Engineered selective biotoxin-binding hydrogels for toxin sequestration by @MelMonomer, @olsenlabmit, @daniellejmai and co-authors. @MIT
#openaccess
https://t.co/K6B8eqd1QJ
onlinelibrary.wiley.com
The development of synthetic selective membranes that separate materials of similar sizes, charges, and/or polarities remains a difficult challenge, and looking towards biology provides inspiration...
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Congrats to @MelMonomer Yun Jung and @daniellejmai Please check this recently published paper, "Engineered selective biotoxin-binding hydrogels for toxin sequestration," on @JPolymSci
https://t.co/IuYgzkctm0
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[PMSE 100] Join us for a Panel Discussion: The Future of Plastics at the 2024 Spring ACS National Meeting, 12noon-2PM, March 18, New Orleans Marriott, Galerie 2. #PMSE100 #ACSSpring2024 #Future #polymer
@AmerChemSociety @POLY_ACS @Cargill
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We would like to warmly welcome postdoctoral associate Dr. Smita V. Mankar @smita_vm to the group, who got her Ph.D. in Polymer Technology at Lund University! @lunduniversity
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The CRIPT Project Manager Ardiana Osmani @ArdianaOsmani showcasing the CRIPT platform at the NSF Convergence Accelerator 2024 @MIT @MITChemE @NSF #CRIPT #Polymer #BigData
https://t.co/ydPIZuZQHW
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Thanks, Yifan Ding @ND_CSE and Xiang Fu @xiangfu_ml for the discussion of optimal transport. Thanks, Prof. Brett Fors @brett_fors and Jenny Hu @CornellChem, for providing the raw data of molecular mass distributions.
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Weizhong Zou, Nathan J. Rebello @njrebello, Michael E. Deagen @mdeagen, Katharina A. Fransen @katafransen, Xian Gao @NDCBE, Bradley D. Olsen, and Debra J. Audus contribute to this work. @NIST @MITChemE. #CRIPT #BigSMILES
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Olsen Lab utilized earth mover's distance to calculate polymer ensemble similarity, published on #ACSPolymersAu
https://t.co/qFc7wIwQJI. This work bridges polymer chain pairwise similarity to ensemble pairwise similarity. Jiale Shi @Jiale_Shi, Dylan Walsh @Walsh_Dylan_J
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Mike Deagen @mdeagen et al introduce an algorithm for translating between chemical structure diagrams & BigSMILES notation. This tool bridges human expertise & machine readability #polymer #BigSMILES #ChemInformatics
https://t.co/CQMzIyXV0f
pubs.acs.org
The representation of chemical structure forms a core component of polymer science, yet the chemical structure diagrams used to convey such information lack the machine processability vital for...
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Nathan Rebello @njrebello et al introduce BigSMARTS, a topological query language and algorithm for polymer search. https://t.co/DV4JPmjIZl This innovative tool enables detailed searches that recognize monomer connectivity and polymer topology. #PolymerScience
pubs.acs.org
Molecular search is important in chemistry, biology, and informatics for identifying molecular structures within large data sets, improving knowledge discovery and innovation, and making chemical...
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We would like to warmly welcome the new graduate student, Zhi Kai Tio (M.E. National University of Singapore of 2023, B.E. National University of Singapore of 2021 @NUSingapore @nus_che_eng_res )! We wish Zhi Kai the best on the PhD journey! @MIT @MITChemE
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Prof. Olsen and Postdoc Jiale Shi @Jiale_Shi will present at #AIChEAnnual @ChEnected @aiche_mesd @aichecomsef (Pro tip for search committees: Jiale is on the faculty job market!) Stop by poster #58 or talk to learn about soft matter, machine learning and large language models.
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