Prof. Rigoberto C. Advincula will give a talk on "Flow Synthesis and the AI/ML Strategies".
All are welcomed to join. Please register here (contact form) if you wish to attend the lecture.

Speaker : Prof. Rigoberto C. Advincula (Governor’s Chair Professor of Oak Ridge National Laboratory (ORNL) and the University of Tennessee, Department of Chemical and Biomolecular Engineering)

Abstract

Artificial intelligence and machine learning (AI/ML) in polymer materials have appended the ability torapidly optimize synthetic routes and manufacturing. Using Bayesian and statistical methods enables applyinglogic-derived design and regression analysis into an otherwise trial-and-error approach in polymer synthesis, fabrication, and characterization. We demonstrate in this talk the use of continuous flow reaction chemistry toenable unit operation optimization and the possibility of autonomous design and synthesis with a hierarchicalapproach and learning. There is a high possibility that a combination of P, V, T, and flow rate control enablesnew methods of copolymerization and the ability to use kinetics as a handle for optimized macromolecularproperties and design for controlled yield. The automation for online monitoring is possible with improvedinstrumentation and the development of a feedback loop learning for possible deep learning (DL) development. Additive manufacturing (AM) is important in fabricating parts and objects with high complexity and highperformance. The use of nanocomposites enables highly improved properties. With AI/ML, it is possible tooptimize both the formulation and manufacturing methods. We demonstrate in this talk that it is possible to use ML to boost the properties of nanocomposites and piezoelectric materials relatively fast compared toconventional statistical and combinatorial approaches. The next stop is autonomous systems.

Speaker Biography

Rigoberto Advincula is a Governor’s Chair Professor of Oak Ridge National Laboratory (ORNL) and the University of Tennessee, Department of Chemical and Biomolecular Engineering. He is also a Group Leader at the Center for Nanophase Materials Sciences (CNMS), ORNL. His area of expertise is in organic and polymer chemistry, nanomaterials, flow chemistry and reaction engineering, additive manufacturing, and biomaterials. He has led major projects including a machine learning (ML) flow chemistry lab at ORNL and advanced nanocomposite manufacturing with DOE. He is a Fellow of the National Academy of Inventors, Fellow of the American Chemical Society (ACS), Fellow of the Polymer Science and Engineering Division (ACS), Fellow of the Polymer Chemistry Division (ACS), Fellow of the Royal Society of Chemistry, and the Netzsch NATAS 2023 Fellow. He has been appointed to the World Economic Forum, Advanced Materials Council. He has held several visiting Professor positions including Waseda University in Japan and the Max Planck Institute for Polymers (MPI-P) Research in Germany. He obtained his Ph.D. in Chemistry at the University of Florida and had Post-doctoral Positions at the MPI-P and Stanford University. He is passionate in mentoring students and establishing interdisciplinary STEM programs.