OCTOBER 18-20, 2021
WASHINGTON, DC

AI TechConnect
 

AI for Advanced Materials Design

Submit your Late Poster Abstract - due September 13

Please first review the information for authors — abstract submission guidelines.

 

Symposium Co-Chairs

Peter KoenigPeter Koenig
Group Head
Procter & Gamble

Rick RossRick Ross
Lead Research Specialist
3M Company

Key Speakers

Ichiro TakeuchiClosed-loop autonomous combinatorial experimentation for streamlined materials discovery
Ichiro Takeuchi
Professor, University of Maryland

Hans Fraaije The combination of data-driven and physics-based modeling with application in protein formulations.
Hans Fraaije
Chief Science Advisor
Siemens, Netherlands

 
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2021 Symposium Sessions

Tuesday October 19

10:30Molecular Modeling

Wednesday October 20

8:30AI Track Keynote
10:30AI for Advanced Materials Discovery & Design

2021 Symposium Program

Tuesday October 19

10:30Molecular ModelingChesapeake 9
Session chair: Peter Koenig, Procter & Gamble
Combining Physics-based models with Bayesian methods in a Small-data world for Product Development
S. Jamadagni, Procter & Gamble, US
Combining theory and simulations with experiments for design and characterization of macromolecular materials
A. Jayaraman, University of Delaware, US
Coarse-grain models of polymer melts: Preserving structure and dynamics
L.C. Johnson, F.R. Phelan Jr., National Institute of Standards and Technology, US
Stokesian Particle Dynamics for microrheology applications between chemistry and engineering
J.G.E.M. Fraaije, Siemens Culgi, NL

Wednesday October 20

8:30AI Track KeynoteWoodrow Wilson D
Session chair: Richard Ross, 3M Company & Peter Koenig, Procter & Gamble
Detecting Malaria Parasites with Machine Learning
S. Jaeger, U.S. National Library of Medicine / NIH, US
AI-enabled additive manufacturing platform for extreme environments
G. Gu, University of California, Berkeley, US
From atoms to emergent mechanisms with information bottleneck and diffusion probabilistic models
P. Tiwary, University of Maryland, US
10:30AI for Advanced Materials Discovery & DesignAnnapolis 2
Session chair: Richard Ross, 3M Company & Peter Koenig, Procter & Gamble
The combination of data-driven and physics-based modeling with application in protein formulations
J.G.E.M. Fraaije, P. Petris, Siemens Culgi, NL
Closed-loop autonomous combinatorial experimentation for streamlined materials discovery
I. Takeuchi, University of Maryland, US
AI-accelerated materials innovation: From Optoelectronics to Fluorescent Biomarkers
C. Kreisbeck, Kebotix, US
Machine Learning for the Exploration of Nanomaterial Synthesis Parameter Spaces
R. Sappington, B. Cornick, Epic Advanced Materials, US
A Self-Driving Laboratory for Accelerated Materials Discovery
C.P. Berlinguette, J.E. Hein, A. Aspuru-Guzik, B.P. MacLeod, F.G.L. Parlane, University of British Columbia, CA

Topics & Application Areas

  • AI, Modeling & Simulation for Materials Design
  • Materials Informatics
  • Machine Learning
  • Autonomous Research Approaches
  • Quantitative Structure Property Relationship (QSAR) Methods
  • Data Science
  • Other
 

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2021 Sponsors & Partners
 

2020 SBIR/STTR AGENCY PARTNERS

SBIR/STTR Agency Partners