2018 MRS Spring Meeting

Symposium LN02 : Artificial Intelligence for Materials Development Forum (NEW!)

2018-04-03   Show All Abstracts

Symposium Organizers

Benji Maruyama, Air Force Research Laboratory
Kristofer Reyes, University at Buffalo, State University of New York
Kristin Persson, Lawrence Berkeley National Laboratory
Aleksandra Vojvodic, University of Pennsylvania
LN02.01: Reports on Current Initiatives
Session Chairs
Tuesday AM, April 03, 2018
PCC West, 100 Level, Room 106 C

10:30 AM -
Introduction—What is the Future of Research?


10:45 AM - LN02.01.01
GenX for Materials Informatics—Fusing the Science of Learning with Machines with the Science of Materials

Krishna Rajan1

State University of New York at Buffalo1

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11:15 AM - LN02.01.02
Materials Acceleration Platforms

Alan Aspuru-Guzik1

Harvard University1

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LN02.02: Autonomous Research and Artificial Intelligence
Session Chairs
Tuesday PM, April 03, 2018
PCC West, 100 Level, Room 106 C

1:30 PM - LN02.02.01
AI for Automation Materials Discovery

Carla Gomes1

Cornell University1

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2:00 PM - LN02.02.02
Keynote: The Rise of AI—Status, Prospects and Thresholds

Subbarao Kambhampati1

Arizona State University1

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2:30 PM -
BREAK


3:30 PM -
Panel Discussion—What Can AI Do To Accelerate Materials Development?


LN02.03: Poster Session
Session Chairs
Benji Maruyama
Kristin Persson
Kristofer Reyes
Aleksandra Vojvodic
Tuesday PM, April 03, 2018
PCC North, 300 Level, Exhibit Hall C-E

5:00 PM - LN02.03.01
Machine Learning for Accelerated Prediction of Electronic Density of States

Byung Chul Yeo1,Sang Soo Han1

Korea Institute of Science and Technology1

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5:00 PM - LN02.03.02
Number Density Descriptor on Extended-Connectivity Fingerprints Combined with Machine Learning Approaches for Predicting Polymer Properties

Takuya Minami1,Yoshishige Okuno1

Research Association of High-Throughput Design and Development for Advanced Functional Materials1

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5:00 PM - LN02.03.03
Artificial Neural Network for Prediction of Mechanical Properties of High Entropy Alloy

Wen-Jay Lee1,Chia-Yung Jui1,A. C. Yang1,Nan-Yow Chen1,E-Wen Huang2,Nien-Ti Tsou2,An-Chou Yeh3

National Applied Research Laboratories1,National Chiao Tung University2,National Tsing Hua University3

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2018-04-04   Show All Abstracts

Symposium Organizers

Benji Maruyama, Air Force Research Laboratory
Kristofer Reyes, University at Buffalo, State University of New York
Kristin Persson, Lawrence Berkeley National Laboratory
Aleksandra Vojvodic, University of Pennsylvania
LN02.04: Knowledge Extraction and Representation
Session Chairs
Wednesday AM, April 04, 2018
PCC West, 100 Level, Room 106 C

8:45 AM - LN02.04.01
Machine Learning for Atomistic Systems—Two Deep Learning Examples

Patrick Riley1

Google Research1

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9:15 AM - LN02.04.02
Application of Machine Learning and Computer Vision Techniques for Accelerated Materials Development and Deployment

T. Yong Han1

Lawrence Livermore National Laboratory1

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9:30 AM - LN02.04.03
Artificial Intelligence in Chemical Database Auto-Generation Tools for Data-Driven Materials Discovery

Jacqueline Cole

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9:45 AM -
BREAK


LN02.05: Feature Engineering and Modeling for Materials Systems
Session Chairs
Wednesday AM, April 04, 2018
PCC West, 100 Level, Room 106 C

10:15 AM - LN02.05.01
Soft Matter Design and Characterization in the Era of Machine Learning

Juan de Pablo1

University of Chicago1

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10:45 AM - LN02.05.02
Materials Informatics and Big Data—Realization of 4th Paradigm of Science in Materials Science

Ankit Agrawal1,Alok Choudhary1

Northwestern University1

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11:00 AM - LN02.05.03
Addressing Complexity in Computational Catalyst Design

Zachary Ulissi1

Carnegie Mellon University1

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11:15 AM - LN02.05.04
Practical Modelling with DFT Accuracy Using Machine-Learning in Application to Catalytic Activity and Ionic Diffusion

Ryoji Asahi1,Ryosuke Jinnouchi1,Kazutoshi Miwa1,Hiroshi Ohno1

Toyota Central R&D Labs1

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11:30 AM -
Wrap-Up