Talks 2022
Past Talks
Past Talks
Time: 9:15 AM Arizona, Sept. 09, 2022
Title: Accelerating Data-driven Discovery of Materials for Hydrogen Storage and Generation
Speaker: Dr. Matthew Witman, Sandia National Laboratories
Recording: https://youtu.be/577gDYqn6mI
Title: Accelerating Data-driven Discovery of Materials for Hydrogen Storage and Generation
Speaker: Dr. Matthew Witman, Sandia National Laboratories
Recording: https://youtu.be/577gDYqn6mI
Time: 12:00 PM Arizona, Apr. 22, 2022
Title: Machine Learning for Modeling Complex Materials
Speaker: Dr. Serveh Kamravah, University of Wyoming
Title: Machine Learning for Modeling Complex Materials
Speaker: Dr. Serveh Kamravah, University of Wyoming
Time: 9:15 AM Arizona, Apr. 15, 2022
Title: Resource-Efficient Material Design Campaigns with Artificial Intelligence
Speaker: Dr. Logan Ward, Argonne National Laboratory
Slides: PDF
Title: Resource-Efficient Material Design Campaigns with Artificial Intelligence
Speaker: Dr. Logan Ward, Argonne National Laboratory
Slides: PDF
Time: 9:15 AM Arizona, Mar. 11, 2022
Title: Artificial Intelligence for materials design: Advances and remaining challenges
Speaker: Dr. Adama Tandia, Science and Technology Division, Corning
Title: Artificial Intelligence for materials design: Advances and remaining challenges
Speaker: Dr. Adama Tandia, Science and Technology Division, Corning
Time: Oct. 22, 2021
Title: ML-augmented Physics-based Multiscale Methods for Predicting Shock-induced Detonation
Speaker: Dr. Tommy Sewell, University of Missouri
Recording: https://youtu.be/iCFXBEqKn3s
Title: ML-augmented Physics-based Multiscale Methods for Predicting Shock-induced Detonation
Speaker: Dr. Tommy Sewell, University of Missouri
Recording: https://youtu.be/iCFXBEqKn3s
Time: Oct. 22, 2021
Title: Efficient, Interpretable Atomistic Graph Representation for Angle-Dependent Spectroscopic Prediction
Speaker: Dr. Tim Hsu, Lawrence Livermore National Laboratory
Title: Efficient, Interpretable Atomistic Graph Representation for Angle-Dependent Spectroscopic Prediction
Speaker: Dr. Tim Hsu, Lawrence Livermore National Laboratory
Time: Oct. 22, 2021
Title: Employing Graph Neural Networks to Understand Complex Atomistic Environments
Speaker: Dr. James Chapman, Lawrence Livermore National Laboratory
Recording: https://youtu.be/Dr4-HYBhkeI
Title: Employing Graph Neural Networks to Understand Complex Atomistic Environments
Speaker: Dr. James Chapman, Lawrence Livermore National Laboratory
Recording: https://youtu.be/Dr4-HYBhkeI
Time: Oct. 22, 2021
Title: A Whirlwind Tour of Multiphase Flow Modeling & Simulation Tools
Speaker: Dr. Aytekin Gel, ALPEMI Consulting
Title: A Whirlwind Tour of Multiphase Flow Modeling & Simulation Tools
Speaker: Dr. Aytekin Gel, ALPEMI Consulting
Time: Oct. 21, 2021
Title: Challenges in 4D X-ray Microscopy: Reconstruction, Image Segmentation, and Time-Evolved Experiments
Speaker: Dr. Nik Chawla, Purdue University
Recording: https://youtu.be/nX5PMZPGhYg
Title: Challenges in 4D X-ray Microscopy: Reconstruction, Image Segmentation, and Time-Evolved Experiments
Speaker: Dr. Nik Chawla, Purdue University
Recording: https://youtu.be/nX5PMZPGhYg
Time: Oct. 21, 2021
Title: Towards Experimental Autonomy in Materials Research
Speaker: Dr. Matt Maschmann, University of Missouri
Recording: https://youtu.be/twqjOJiUY3U
Title: Towards Experimental Autonomy in Materials Research
Speaker: Dr. Matt Maschmann, University of Missouri
Recording: https://youtu.be/twqjOJiUY3U
Time: Oct. 21, 2021
Title: Frontiers of Metal Laser Powder Bed Fusion and Binder Jetting
Speaker: Dr. Adam Hopkins, Uniformity Labs
Recording: https://youtu.be/qcqPee8h1Jw
Title: Frontiers of Metal Laser Powder Bed Fusion and Binder Jetting
Speaker: Dr. Adam Hopkins, Uniformity Labs
Recording: https://youtu.be/qcqPee8h1Jw
Time: 10:00 AM MST, Oct. 30, 2020
Title: Quantitative Structure-Property Relationship Modeling Using a Meshfree Approach
Speaker: Dr. Hailong Chen, University of Kentucky
Title: Quantitative Structure-Property Relationship Modeling Using a Meshfree Approach
Speaker: Dr. Hailong Chen, University of Kentucky
Time: 10:00 AM MST, Nov. 6, 2020
Title: Towards Automated and Efficient Machine Learning as a Service (MLaaS)
Speaker: Dr. Yan Feng, University of Nevada, Reno
Recording: https://youtu.be/CBYbO-mmep4
Title: Towards Automated and Efficient Machine Learning as a Service (MLaaS)
Speaker: Dr. Yan Feng, University of Nevada, Reno
Recording: https://youtu.be/CBYbO-mmep4
Time: 10:00 AM MST, Nov. 13, 2020
Title: Integrating Smart Materials and Solid Mechanics for Soft Robotics
Speaker: Dr. Wanliang Shan, Syracuse University
Recording: https://www.youtube.com/watch?v=844E0RFzl8Q
Title: Integrating Smart Materials and Solid Mechanics for Soft Robotics
Speaker: Dr. Wanliang Shan, Syracuse University
Recording: https://www.youtube.com/watch?v=844E0RFzl8Q
Time: 10:00 AM MST, Nov. 20, 2020
Title: Spatiotemporal Heterogeneities in Battery Electrodes
Speaker: Dr. Peng Bai, Washington University in St. Louis
Recording: https://youtu.be/522wlBteZHA
Title: Spatiotemporal Heterogeneities in Battery Electrodes
Speaker: Dr. Peng Bai, Washington University in St. Louis
Recording: https://youtu.be/522wlBteZHA