The Olsen lab team capped off the summer with an exciting group activity, downhill mountain biking, at Highland Mountain Bike Park in New Hampshire! Shoutout to the crew at the park for training us! Here we are after the adventure ended!
The Olsen Lab would like to welcome graduate student Clara Troyano-Valls, from Johns Hopkins University! We wish her the best of luck on her Ph.D. journey at MIT!
Special thanks to everyone who attended Day I of the NSF Convergence Accelerator Expo 2021 on July 28th! Visit us 10-4 PM ET tomorrow (July 29th) learn about the Community Resource for Innovation in Polymer Technology (CRIPT), our AI inspired technology for materials data! Please visit the CRIPT homepage to learn more about our polymer data ecosystem, with apps free and available to the polymer community, including the block copolymer phase explorer and the BigSMILES drawing tool!
Congratulations to Prof. Olsen for winning the 2021 ACS Macro Letters/Biomacromolecules/Macromolecules Young Investigator Award, recognizing individuals who have made a major impact on the field of polymer science! Check out the press release!
We say goodbye to Dr. Tzyy-Shyang Lin, a polymer physicist by training who worked in materials informatics, who will leave Boston and begin the next stage of his professional career at Synopsys Taiwan. The Olsen family and the MIT community wish him the best of luck!
This summer, we celebrate the graduation of Dr. Hursh Vardhan Sureka. We and the MIT community wish him all of the best in his future endeavors!
Check out the new polymer data ecosystem we are developing of data standards, applications, and software frameworks for polymers called the (CRIPT), or the Community Resource of Innovation in Polymer Technology. Please make an account and explore the site! Passwords are not used as the app is still in development, so please do not put any non-public data on the app!
Congratulations to Nathan J. Rebello and Haley K. Beech on their joint theory-experimental paper in ACS Macro Letters, an update to the famous Flory-Rehner equation for topological defects!
Congratulations to Haley K. Beech and the MONET team on their publication to the prestigious journal Chemical Reviews, titled Molecular Characterization of Polymer Networks
Congratulations to Haley K. Beech and MONET, which is an NSF Center For The Chemistry Of Molecularly Optimized Networks, for their new publication in Journal of the American Chemical Society titled Single-Event Spectroscopy and Unravelling Kinetics of Covalent Domains Based on Cyclobutane Mechanophores!
Congratulations to Ameya Rao for winning the 1st prize at the 2021 APS DPOLY poster competition for his work titled Role of Chain Walking and Hopping on Anomalous Self-Diffusion in Linear Associative Polymers!
Congratulations to Shu Wang, Haley K. Beech, Brandon H. Bowser, and Tatiana B. Kouznetsova for their publication in Journal of the American Chemical Society titled Mechanism Dictates Mechanics: A Molecular Substituent Effect in the Macroscopic Fracture of a Covalent Polymer Network!
Congratulations to Dr. Tzyy-Shyang Lin, Nathan J. Rebello, Haley K. Beech, Zi Wang, Dr. Bassil El-Zaatari, and David J. Lundberg for their collaborative paper: a new data schema PolyDAT for polymer characterization in the Journal of Chemical Information and Modeling, an ACS Editor’s Choice! This work was in collaboration with the Craig Lab at Duke University, the Jeremiah Johnson Lab at MIT, and Julia Kalow Lab at Northwestern.
Congrats to Dr. Tzyy-Shyang Lin for being nominated as a Padden Award finalist at the upcoming APS March Meeting! Check out his abstract here.
Congratulations to Irina M. Rasid for her publication in Macromolecules titled Anomalous Diffusion in Associative Networks of High-Sticker-Density Polymers!
Congratulations to Dr. Hursh Vardhan Sureka for successfully defended his thesis “Protein Immobilization using Complex Coacervates and Complex Coacervate Thin Films” on Thursday, January 14th with Professors Bradley D. Olsen, Zachary P. Smith and Timothy M. Swager!
In 2019, our group developed a new line notation that encodes the stochastic nature of polymers called BigSMILES, an extension of the famous SMILES line notation that has brought transformative advances to machine learning and small molecule cheminformatics! Developed by Dr. Tzyy-Shyang Lin, this work was published in ACS Central Science and serves as a key step to building the necessary AI infrastructure to support polymer informatics.
Interested in Polymers, Data Science, ML or AI; check out our symposium! (NSF Convergence Accelerator program). We will be demoing an early version of our data platform for FAIR polymer data and are seeking community feedback! For more details, please visit https://cript.mit.edu/virtual-symposium-polymer-data!
Congratulations to Yun Jun Yang, Danielle J. Mai, and Melody A. Morris for their publication in Biomacromolecules, titled Tuning Selective Transport of Biomolecules through Site-Mutated Nucleoporin-like Protein (NLP) Hydrogels!
Congratulations to Dr. Tzyy-Shyang Lin for successfully defended his thesis “Towards Quantitatively Predicting the Properties of Gels and Elastomers” with Professors Bradley D. Olsen, Gregory C. Rutledge and James W. Swan on Monday, January 11th!
The Olsen Lab would like to extend a warm welcome to its newest graduate students Charlotte Dai, from UC Santa Barbara, Katharina Fransen, from the University of Minnesota, and Oliver Xie, from McGill University! We wish them the best on their graduate school journey!