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AI for Materials: From Discovery to Production

WEBINAR

Only

AI for Materials: From Discovery to Production

Tuesday, October 6 - Wednesday, October 7, 2020 EDT

WEBINAR

Presented By

The New York Academy of Sciences

 

This Symposium aims for a broad perspective on leveraging the benefits of artificial intelligence (AI) in materials simulations, materials synthesis, and translating research into high-volume industrial production — covering the application of AI throughout the entire life cycle of new materials. It will bring together materials scientists, industry experts, and AI researchers to shape future research directions, identify urgent issues in this rising field, and foster interdisciplinary collaboration opportunities.

Sneak Preview: AI for Materials Design


Registration

Member
$45
Nonmember Academia, Faculty, etc.
$100
Nonmember Corporate, Other
$130
Nonmember Not for Profit
$100
Nonmember Student, Undergrad, Grad, Fellow
$70
Member Student, Post-Doc, Fellow
$25
Deadline:
0
days
left

Speakers

Leon Bottou
Léon Bottou, PhD

Facebook AI Research

Rampi Ramprasad
Rampi Ramprasad, PhD

Georgia Institute of Technology

Nobuyuki Matsuzawa
Nobuyuki Matsuzawa, PhD

Panasonic Corporation

Organizing Committee

Kristin Persson
Kristin Persson, PhD

UC Berkeley/Lawrence Berkeley National Laboratory

Anatoly Frenkel
Anatoly Frenkel, PhD

Brookhaven National Laboratory/Stony Brook University

Sergei Kalinin
Sergei V. Kalinin, PhD

Oak Ridge National Laboratory

Joshua Schrier
Joshua Schrier, PhD

Fordham University

Jennifer L. Costley, PhD
Jennifer L. Costley, PhD

The New York Academy of Sciences

Liang Dong, PhD
Liang Dong, PhD

The New York Academy of Sciences

Tuesday

October 06, 2020

10:30 AM

Opening Remarks: New York Academy of Sciences

Session 1: Physics and Causality in Machine Learning

Session Chairperson
Payel Das, PhD, IBM Research; Sergei V. Kalinin, PhD, Oak Ridge National Laboratory
10:35 AM

Keynote: Symplectic Recurrent Neural Networks

Speaker

Léon Bottou, PhD
Facebook AI Research
11:10 AM

Title TBD

Speaker

Carla Gomes, PhD
Cornell University
11:35 AM

Title TBD

Speaker

Rama Vasudevan, PhD
Oak Ridge National Laboratory
12:00 PM

Short Break

12:10 PM

Title TBD

Speaker

Alexandra Boltasseva, PhD
Purdue University
12:35 PM

Machine Learning for Scarce Material Classes: Understanding and Predicting Metal-Insulator Transition Compounds

Speaker

Alexandru B. Georgescu, PhD
Northwestern University
1:00 PM

Data-Driven Discovery of Novel Electrostrictive Materials

Speaker

Dennis Trujillo, PhD
University of Connecticut
1:25 PM

Break and Virtual Poster Session

Session 2: Data Infrastructures for Materials Science

Session Chairperson
Anatoly Frenkel, PhD, Brookhaven National Laboratory and Stony Brooke University; Kristin Persson, PhD, Laurence Berkeley National Laboratory and University of California, Berkeley
2:35 PM

Keynote: Polymer Informatics: Current Status & Critical Next Steps

Speaker

Rampi Ramprasad, PhD
Georgia Institute of Technology
3:10 PM

Identifying “The Genes” of Materials Properties

Speaker

Matthias Scheffler, PhD
Fritz Haber Institute of the Max Planck Society and Humboldt University
3:35 PM

Hard Fought Lessons on Open Data and Code Sharing and the Terra Infirma of Ground Truth

Speaker

Jason Hattrick-Simpers, PhD
National Institute of Standards and Technology
4:00 PM

Short Break

4:10 PM

Title TBD

Speaker

Tonio Buonassisi, PhD
MIT
4:35 PM

Orbital Graph Convolutional Neural Network for Material Property Prediction

Speaker

Amir Barati Farimani, PhD
Carnegie Mellon University
5:00 PM

Materials Design and Discovery with Autonomous Systems

Speaker

Muratahan Aykol, PhD
Toyota Research Institute
5:25 PM

Day 1 Wrap Up/Day 2 Preview

5:30 PM

Close of Day 1

Wednesday

October 07, 2020

9:00 AM

Opening Remarks

Speaker

Liang Dong, PhD
The New York Academy of Sciences

Session 3: AI in Materials Production and Industry

Session Chairperson
Mat Halls, PhD, Schrödinger; Joshua Schrier, PhD, Fordham University
9:05 AM

Keynote Address: Materials Design in Electronics Industry: Application of Materials Informatics and Cloud Computing Environment to the Design of Organic Carrier Transport Materials

Speaker

Nobuyuki N. Matsuzawa, PhD
Panasonic Corporation
9:40 AM

Title TBD

Speaker

Michael Helander, PhD
OTI Lumionics
10:05 AM

Title TBD

Speaker

Elsa Olivetti, PhD
MIT
10:30 AM

Break

10:45 AM

Panel Discussion: Closed loop production through AI: Automating the design, build, test, and learn cycle

Speakers

Moderator: Sam Samdani, PhD
McKinsey & Company
Philipp Harbach, PhD
Merck KGaA
James Warren, PhD
National Institute of Standards and Technology
two other panelists to be confirmed
11:35 AM

A Mobile Robotic Chemist

Speaker

Phillip M. Maffettone, DPhil
Brookhaven National Laboratory
12:00 PM

More Accuracy, Less Guidance: Combined Topological and Word-Embedding Representations Improve Machine-Learning Performance for Metal-Organic Frameworks

Speaker

Aditi S. Krishnapriyan, PhD
Lawrence Berkeley National Laboratory
12:25 PM

Outlook for Artificial Intelligence and Machine Learning at the NSLS-II

Speaker

Daniel Olds, PhD
Brookhaven National Laboratory
12:50 PM

Session Summaries

1:10 PM

Final Remarks: New York Academy of Sciences

1:15 PM

End of Day 2