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Jiamin, Hemanth, Shih-Han, and Dr. Xin presented at the CMU-Georgia Tech Symposium on Machine Learning in Science and Engineering.

Congrats to Jiamin for receiving the NSF travel award to present at the Machine Learning in Science and Engineering Symposium.

Congrats to Dr. Liang Yu for the Nat. Commun. paper on ammonia synthesis. This is in collaboration with Feng's group at UCF. Here we report efficient electroreduction of N2 to NH3 on palladium nanoparticles in phosphate buffer solution under ambient conditions. 

Dr. Xin received the 2018 Dean's Award for Outstanding New Assistant Professor in recognition of extraordinary performance.

Congrats to Zheng, Noushin, Wei Shan, and Ester for the paper on machine learning published in J. Phys. Chem. A. In this work, machine-learning algorithms equipped with the domain knowledge of chemical graph theory were employed for predicting the energy gaps of >12 000 porphyrins from the Computational Materials Repository.

Congrats to Siwen, Noushin, and Emily for the paper in Phys. Chem. Chem. Phys., Communications. We applied the orbitalwise coordination number concept for understanding size effects in Au-catalyzed CO oxidation.

Welcome Prof. Suljo Linic from University Michigan visiting Virginia Tech for Bill and Ann Doumas distinguished lecture.

Congrats to Zheng, Siwen, and Wei Shan for the paper as back cover of J. Mater. Chem. A., emerging investigators 2017 issue. We outlined details of machine learning models for alloy electrocatalyst design.