Welcome Chikpezili Ajulu!

We are pleased to welcome Chikpezili (Zil) Ajulu (M.S) from mechanical engineering to the CoMoChEng group!

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MLSE Conference

The Machine Learning in Science and Engineering (MLSE) conference took place in Pittsburgh, PA, from June 6-8, 2018 where Krishna and Dr. Richard West presented “Unsupervised machine learning for data-driven representations of reactions.”

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ESSCI Spring Technical Meeting

The ESSCI Meeting took place on March 4-7, 2018 at Penn State University where Nate and Richard presented.

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Presentations at the Regional Kinetics and Dynamics Conference

The Regional Kinetics and Dynamics Conference took place at Northeastern University where Priyanka, Krishna, and Carl gave talks.

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NECS Meeting

The New England Catalysis Society meeting took place at Worcester Polytechnic Institute (WPI), where Dr. West gave a talk titled, “Implementing linear scaling relations in RMG-Cat for automated generation of microkinetic models,” and David, Emily, and Krishna presented a poster titled, “Reaction mechanism generator for heterogeneous catalysis (RMG-Cat): Ongoing and future developments.”

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Welcome New Graduate Students!

We are thrilled to welcome three new graduate students to the CoMoChEng group! Please welcome Emily Mazeau (Ph.D), David Farina (Ph.D) and Priyanka Satpute (M.S.). See their bios here!

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Congratulations, Belinda!

Dr. Belinda Slakman became the third PhD to graduate from the CoMoChEng group! She defended her thesis, “New Domains in Automatic Mechanism Generation”, on June 15th, 2017. Belinda is now working for Kyulux in Boston, MA.

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NSF grant resolving discrepancies in detailed kinetic models of combustion via automated TST calculations.

In 2016 Prof. West won a $259,990 grant titled “Resolving discrepancies in detailed kinetic models of combustion via automated transition state theory calculations.”

In order to develop cleaner and more efficient engines, and to make better use of both petroleum-derived and alternative fuels, engineers need a better understanding of combustion. Computer models that can accurately predict how different fuels burn in different conditions will help us develop new engines and new fuels. The goal of this research is predictive, detailed kinetic modeling of combustion, in which many thousands of relevant chemical reactions are calculated accurately. As a step towards this goal, the research will detect and correct major discrepancies in the reaction rates currently used in detailed kinetic models, and in so doing create a database of reaction transition states, as well as algorithms to predict them. The proposed work will use several novel techniques to identify and correct mistakes, uncertainties, and approximations currently hidden throughout detailed kinetic models of combustion. The project will remove the human bottle-neck in performing quantum mechanical calculations of chemical kinetics, enabling effective use of High Performance Computing for accurate calculation of reaction rate expressions in the future. This high-throughput calculation of reaction kinetics has been identified as a “basic research need for clean and efficient combustion of 21st century transportation fuels”, and by the Combustion Energy Frontier Research Center as an “important grand challenge”.

This three year project proposes to: (1) automate the performance of quantum mechanics (QM) based Transition State Theory (TST) calculations for combustion-relevant reactions in the open-source, kinetic model building software Reaction Mechanism Generator (RMG); (2) use a newly developed kinetic model importer tool to identify every elementary reaction published in recent combustion models; (3) use the automated methods from step one to calculate the rates of reactions from step two, creating a public database of reactions, rates from the literature, rates calculated by TST, QM calculation results, and transition state geometries; and (4) identify discrepancies between reaction rates in published models and those calculated via TST, and quantify the effect these discrepancies have on the model predictions. Additionally, we will develop a related suite of Python-based teaching materials suitable for undergraduate chemical engineering curriculum, to introduce combustion science to a wider audience. A PhD student and several undergraduate students will gain valuable research experience and training whilst working on this project.

Award abstract at NSF 

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Congratulations, Pierre!

Dr. Pierre Lennox Bhoorasingh became the second PhD graduate from the CoMoChEng group this week! He defended his thesis, “Automated Calculation of Reaction Kinetics Via Transition State Theory”, on June 8th, 2016. Pierre is now working for Pill Pack in Boston, MA.

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Congratulations, Fariba!

Dr. Fariba Seyedzadeh Khanshan officially became the first PhD graduate from the CoMoChEng group this week! She defended her thesis, “Automatic Generation of Detailed Kinetic Models for Complex Chemical Systems”, on January 29, 2016. Fariba is currently working as a post-doc at Shire in Lexington, MA.

Fariba and Professor Richard West at PhD Hooding Ceremony and Graduation on May 5, 2016

Fariba and Professor West at the PhD Hooding Ceremony and Graduation on May 5, 2016.

 

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