Date News
Sunday, November 10, 2019

The group heads to AIChE in Orlando! Fang and Zhongyue present talks as faculty candidates, Heather gives an invited talk, and Aditya, Daniel, Fang, and JP present the group's work in machine learning for accelerated discovery!

Thursday, November 7, 2019

Heather gives a talk about the group's work on understanding QD growth at nanoGE in Berlin! Thanks to Jonathan Owen and Ivan Infante for the invitation!

Thursday, October 31, 2019

Heather gives an invited talk at North Dakota State University Chemistry! Thanks to Dmitri and Svetlana for the invitation!

Thursday, October 24, 2019

Heather gives invited talks at Northwestern in ChBE and the Catalysis center! Thanks to Randy Snurr for the invite!

Tuesday, October 15, 2019

Heather gives a talk about the group's work at the Institute for Pure and Applied Mathematics at UCLA on the workshop focused on physical interpretability in machine learning!

Friday, October 11, 2019

Aditya, Chenru, Daniel, Naveen, and Vyshnavi represent the group at MIT Energy Night!

Thursday, October 10, 2019

Mengyi, Zhongyue, and Heather head to Yale for the CENT EFRC Fall Symposium! Mengyi presents a poster about her research in the center.

Sunday, October 6, 2019

Aditya, Michael, and Heather head to the ICDC EFRC Annual meeting at the University of Minnesota! Congrats to Aditya and Michael for winning a poster prize!

Wednesday, October 2, 2019

Heather presents the Saville Lecture at Princeton University Chemical & Biological Engineering!

Monday, September 30, 2019

JP represents the group by presenting an invited talk at the Telluride Machine Learning Workshop this week!

Thursday, September 26, 2019

Heather visits Penn State Chemistry to give a talk about the group's research. Thanks to Lasse Jensen for the invite!

Tuesday, September 17, 2019

Heather visits the University of Michigan Chemical Engineering department - thanks to Bryan Goldsmith for the invitation!

Friday, September 13, 2019

Heather visits University of Pittsburgh Chemical & Petroleum Engineering to present a seminar about the group's research! Thanks to Chris Wilmer for the invite!

Thursday, September 5, 2019

Heather visits the Central Michigan University Physics Department to give a seminar and a group meeting about DFT+U and delocalization error. Thanks to Alan Jackson for the invite!

Wednesday, August 28, 2019

Fang, JP, Rimsha, and Heather attend the ACS Meeting in San Diego and present their work! JP receives the CCG Graduate Excellence award, Heather receives the J Phys Chem B Lectureship award and presents at the Mason awardees symposium!

Wednesday, August 21, 2019

Heather presents the group's research in an invited talk at the XXVIII International Materials Research Congress in Cancun, Mexico! Check out the program here!

Tuesday, August 20, 2019

Aditya represents the group's work on machine learning MOF properties at the DARPA YFA Annual meeting in Arlington, VA!

Monday, August 19, 2019

The International Year of the Periodic Table Emerging Investigator Special Issue in Inorganic Chemistry is now online! Check out more about all the contributions here!

Wednesday, August 14, 2019

Qing's (Ph.D. '18) paper on tuning surface stability and reactivity with approximate DFT has been accepted to J. Phys. Chem. Lett.! Check it out here!

Thursday, August 8, 2019

Heather presents the group's DARPA Young Faculty Award work as part of the DARPA AMD PI kick-off meeting in Arlington, VA!


About Us

The Kulik group focuses on the development and application of new electronic structure methods and atomistic simulations tools in the broad area of catalysis.

Our Interests

We are interested in transition metal chemistry, with applications from biological systems (i.e. enzymes) to nonbiological applications in surface science and molecular catalysis.

Our Focus

A key focus of our group is to understand mechanistic features of complex catalysts and to facilitate and develop tools for computationally driven design.

Contact Us

Questions or comments? Let us know! Contact Dr. Kulik: