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SUMMARY:Tailoring catalysts for reactions involving multifunctional molecu
 les using machine learning
DTSTART:20260414T151500
DTEND:20260414T161500
DTSTAMP:20260410T162655Z
UID:c9f116df993ae2696e8b113ea49ff86f00f6a53fb6951f3e474bf400
CATEGORIES:Conferences - Seminars
DESCRIPTION:Assistant Professor Tej Choksi\nAbstract\nFirst principles me
 thods and more recently machine learning\, have opened new avenues to syst
 ematize catalyst design. Yet\, computational efforts of the last 2+ decade
 s have primarily focused on reactions involving small molecules (C1-2\, O1
 \, N1) that are activated by high-symmetry sites of extended surfaces at l
 ow surface coverages. In contrast\, most industrial processes involve larg
 e multi-functional molecules (e.g.\, cyclic hydrocarbons\, nitroarenes etc
 .) that are activated by low-symmetry sites of nanoclusters under high sur
 face coverages. Machine learning methods have emerged as a powerful approa
 ch to bridge this gap between first principles models and reality. Using p
 hysics-inspired machine learning trained on small datasets by active learn
 ing\, we identify next-generation bimetallic Pt catalysts for dehydrogenat
 ing liquid organic hydrogen carriers like methylcyclohexane. Using machine
  learned potentials\, we rationalize why functionalized nitroarenes adsorb
  in self-assembled monolayer-like arrangements on Pd catalysts\, consisten
 t with in situ surface characterization. We distil our learnings into a fo
 rward-looking viewpoint of the do’s and don’ts in using machine learne
 d potentials to predict the surface structure and reactivity of multi-func
 tional molecules.\n\nBiography\nTej has been a tenure-track Assistant Prof
 essor at Nanyang Technological University\, Singapore since Dec. 2019. He 
 obtained his PhD in chemical engineering from Purdue University in Dec. 20
 17 (advisor: Prof. Jeffrey Greeley) and thereafter completed his postdocto
 ral training at Stanford University (advisor: Dr. Frank Abild-Pedersen). H
 is group employs first principles methods and kinetic modelling to underst
 and how catalysts operate at the atomic scale. In addition to managing his
  research programme\, Tej is a Faculty Fellow of the NTU Honors College an
 d the Director of the undergraduate programme in chemical and biomolecular
  engineering. Tej has received the Outstanding Young Principal Investigato
 r of the AIChE\, Singapore Local Section (2022) and the Nanyang Education 
 Award (2022) for excellence in teaching. Tej holds early career advisory b
 oard roles in the Journal of Catalysis\, ChemSusChem\, and Applied Catalys
 is A: General.\n 
LOCATION:CH B3 30 https://plan.epfl.ch/?room==CH%20B3%2030
STATUS:CONFIRMED
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