June 2026

Our collaborative paper with Aristide Gumyusenge’s group (MIT DMSE) on conductive polymers for electrochemical devices is now out in ACS Applied Materials & Interfaces!

Chenlu’s collaborative paper with Vibha Kalra’s group (Cornell CBE) on electrolytes that induce electrode regeneration for battery recycling is now out in Energy and Environmental Science! Read more about it in the Cornell Chronicle!

The group goes to the CECAM Flagship Workshop on Physics-aware Machine Learning for Molecules and Materials hosted at Cornell Tech in NYC!

Chenlu presented a poster on applying MLIPs to study bimetallic catalysts and Prajwal presented a poster on physics-aware active learning schemes for MLIP development! And Shuwen gave a talk on our new work in uncertainty quantification and active learning algorithms for MLIPs!

Shuwen led the organization of the workshop along with co-organizers Camille Bilodeau (UVA), Andrew Rosen (Princeton), Stefano Martiniani (NYU), and Juan de Pablo (NYU)! Many thanks to our generous sponsors!

In between CECAM sessions, Shuwen also squeezed in a side quest across the river to give a talk at the Artificial Intelligence for Basic Research in Medicine and the Life Sciences Symposium at Weill Cornell!

May 2026

Shuwen gives an invited talk at the DOE Center for Enhanced Nanofluidic Transport (CENT) EFRC!

We received a SPROUT Award from Cornell Duffield Engineering to fund a collaboration with Yu Zhong (Cornell MSE) and Nick Abbott (Cornell CBE)!

Lyndon’s co-first author paper on ML for predicting experimental parameters for biomass pyrolysis in collaboration with Iris Yu’s group (NUS CEE) is now out in Bioresource Technology!

April 2026

Farewell dinner for our postdoc Osman, who will be starting a new position at LANL!

Shuwen gives an invited seminar at the City College of New York (CCNY) Department of Chemical Engineering!

Shuwen gives an invited seminar at the University of Arkansas Ralph E. Martin Department of Chemical Engineering!

March 2026

Osman’s paper on Deep Graph Kernel Learning (DGKL) as a new efficient uncertainty quantification method is now out in Digital Discovery!

Chenlu presents a poster on bimetallic catalysts for C-N coupling at the CBE Graduate Student Symposium, CBE Open House, and Chemistry Graduate Research Symposium!

Our 2026-2027 NSF ACCESS allocation has been awarded! This provides GPU and CPU resources from the San Diego Supercomputing Center (SDSC) to support our research projects!

February 2026

Aditi’s paper on ML for ionic liquids is now out in Digital Discovery in the Emerging Investigator Collection!

January 2026

Shuwen was elected to the AIChE Area 1A Programming Committee!