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February 2024 People and Events

Joanna Wang passes her candidacy exam

The Gagliardi Group congratulates Joanna Wang for successfully passing her candidacy exam! Joanna’s work focuses on “Unraveling chemical processes through hybrid quantum-classical algorithms with localized wave functions.” Her primary research interests are developing hybrid algorithms for multireference theory and studying chemical reactions with multireference methods. We eagerly anticipate her continued success and contributions to the field. Well done, Joanna!

October 2023 People and Events

Congratulations to Bhavnesh Jangid and Jacob Wardzala in Passing Their Candidacy Exams

The Gagliardi Group congratulates Bhavnesh Jangid (left) and Jacob Wardzala (right) on their achievement in passing their candidacy exams! Bhavnesh’s work focuses on the “Development of quantum embedding based methods for efficient and accurate prediction of the core-level spectroscopy” and Jacob’s focuses on “Automated active space selection for systematic multireference calculations in reactivity”. The Gagliardi group wishes you both continued success as you progress in your academic endeavors.
September 2023 Fun and Games People and Events

Double the Cheers, Double the Joy!

The Gagliardi Group celebrates not just one but two group members! We are wishing a very Happy Birthday to Valay Agarawal, our brilliant PhD student, and Soumi Haldar, our dedicated postdoctoral researcher! Here’s to many more moments of working well together and achieving great things!

 

People and Events

Gagliardi Group says Farewell to Gautam Stroscio

It’s with mixed emotions that we bid farewell to our brilliant colleague, Gautam Stroscio, as he embarks on a new adventure. After making valuable contributions to the Gagiardi Research Group, Gautam is taking his talents to the Lawrence Livermore National Laboratory.
July 2023 People and Events

Saumil Chheda and Benjamin Yeh Successfully Graduate from the University of Minnesota!

Saumil Chheda Benjamin Yeh Join us in celebrating the graduation of Saumil Chedda and Benjamin Yeh from the University of Minnesota! Saumil’s next position will be as a Postdoctoral Fellow in Climate Change, Machine Learning, and Advanced Materials at the Bakar Institute of Digital Materials for the Planet in University of California Berkeley, under the guidance of Professor Omar Yaghi. Ben’s next position will be as a Process Development/Scale-Up Engineer at ExxonMobil in Baytown, Texas.

 

July 2023 Fun and Games People and Events

Striking Pins and Camaraderie with the Gagliardi Group

The Gagliardi Research Group enjoy an evening of camaraderie and pin-crashing fun as they slipped on their bowling shoes in an unforgettable outing of friendly competition! Strikes, spares, and the occasional gutter ball brought cheers and laughter echoing through the bowling alley as friendships strengthened and new bonds formed. A successful team not only thrives on shared academic pursuits but also on shared experiences of joy and amusement.

 

People and Events

Gagliardi group welcomes four new summer student researchers!

Gagliardi group welcomes four first-year graduate students for summer rotations. The students will be paired with mentors in the Gagliardi Group to gain research experience in theoretical chemistry.

  1. Serina Tressler, mentored by Dr. Mukunda Mandal
  2. Alex Hoehn, mentored by Valay Agarawal
  3. Brian Wang, mentored by Shreya Verma
  4. Aniruddha Seal, mentored by Matthew Hennefarth
May 2023 People and Events Research and Publications

Dr. Mukunda Mandal has joined the Gagliardi Group!

Mukunda Mandal has joined the group as a postdoc, most recently a postdoc at Max Planck Institute for Polymer Research, Germany

He is interested in Electronic Structure, Catalysis, and Reticular Frameworks. Welcome Mukunda!

 

March 2023 Research and Publications

Collaboration between the Gagliardi Group and Argonne boosts development of sustainable technology

Laura and graduate student Daniel King collaborated with the group of Max Delferro at Argonne National Laboratory to develop a better method for finding novel MOF catalysts, which have the potential to speed up industrially relevant chemical reactions. Increasing the efficiency of catalysts is critical for developing sustainable solutions and promoting decarbonization. The group used machine learning algorithms combined with high-throughput experimentation to screen different metals, temperatures, and pressures applied to the MOF NU-1000 for catalytic activity. After 2,000 reactions, the collaboration used this process to ultimately improve the yield of these chemical reactions from 0.4 percent to 24.4 percent. Read the article here.