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CREATED:20250423T214138Z
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UID:3883-1738236600-1738242000@hpc-ai-society.org
SUMMARY:HPC Society January 2025 Lunch & Learn
DESCRIPTION:« All Events\n 				\n				\n				\n				\n					This event has passed. \n				\n				\n				\n				\n					\n	HPC Society January 2025 Lunch & Learn				\n				\n				\n				\n					\n		\n			January 30\n\n	\n\n	 @ \n\n\n11:30 am\n\n		\n\n\n\n	\n	 - \n\n1:00 pm\n\n\n\n	\n				\n				\n		\n					\n		\n				\n				\n					\n	Cost:\nFree – $10.00				\n				\n				\n				\n					\n				\n				\n	\n			\n		HCC West Loop Campus			\n	\n	\n	\n\n5601 W Loop S.\, Room C142\n	\n		\n		Houston\,\n\n\n	77081\n\n	United States\n\n\n\n\n	+ Google Map \n\n\n	\n					\n						\n	 \n\n\n	\n	 \n\n\n\n	\n\n\n\n		\n	\n				\n				\n				\n				\n					\n	\n		\n\n	\n	Add to calendar	\n		\n	\n\n		\n			\n									\n	Google Calendar\n\n									\n	iCalendar\n\n									\n	Outlook 365\n\n									\n	Outlook Live\n\n							\n		\n\n		\n	\n\n				\n				\n				\n					\n				\n		\n					\n				\n				\n							\n			\n						\n		\n						\n				\n				\n				\n					Society of HPC Professionals lunch and learn event\, including tour of TACC supercomputing facility				\n				\n				\n				\n					Scientific Machine Learning in Advanced Manufacturing\n				\n				\n				\n				\n					George Biros\, Ph.D. – Professor and W. A. “Tex”‘ Moncrief Chair in Simulation-Based Engineering Sciences\, University of Texas Austin				\n				\n				\n				\n									11:30am- Noon CDT — NetworkingNoon – 1:00pm CDT — Presentation (+ online option)1:00pm – 1:30pm CDT — Tour TACC Supercomputer Center (optional)								\n				\n					\n				\n		\n					\n				\n				\n					About the Event				\n				\n				\n				\n									Predicting grain formation during alloy solidification is of great importance in additive manufacturing (AM). Numerical simulations require fine spatial and temporal discretizations that can be computationally expensive.  In this talk\, I will discuss GrainNN\, an efficient and accurate reduced-order model for epitaxial grain growth in additive manufacturing conditions. GrainNN  is a sequence-to-sequence long-short-term-memory (LSTM) deep neural network that evolves the dynamics of manually crafted features. We present results in which GrainGNN can be orders of magnitude faster than phase field simulations\, while delivering 5%–15% pointwise error. This speedup includes the cost of the phase field simulations for generating training data. GrainGNN enables predictive simulations and uncertainty quantification of grain microstructure for situations not previously possible. 								\n				\n					\n				\n		\n					\n		\n				\n				\n					About the Speaker				\n				\n				\n				\n					George Biros\, Ph.D. – Professor and W. A. “Tex”‘ Moncrief Chair in Simulation-Based Engineering Sciences				\n				\n				\n				\n									Predicting grain formation during alloy solidification is of great importance in additive manufacturing (AM). Numerical simulations require fine spatial and temporal discretizations that can be computationally expensive.  In this talk\, I will discuss GrainNN\, an efficient and accurate reduced-order model for epitaxial grain growth in additive manufacturing conditions. GrainNN  is a sequence-to-sequence long-short-term-memory (LSTM) deep neural network that evolves the dynamics of manually crafted features. We present results in which GrainGNN can be orders of magnitude faster than phase field simulations\, while delivering 5%–15% pointwise error. This speedup includes the cost of the phase field simulations for generating training data. GrainGNN enables predictive simulations and uncertainty quantification of grain microstructure for situations not previously possible. 								\n				\n				\n		\n				\n				\n																														\n				\n				\n					\n				\n		\n					\n				\n				\n									Members: remember to login to see your free ticket option. Note: if you see a message to renew\, we have seen a glitch on some browsers. Click the renew link\, which will take you to your account page\, where you will see if you are current. If you are\, simply navigate again to the event page and you should see your free ticket option.								\n				\n					\n				\n				\n						\n					\n			\n						\n				\n					\n	\n		\n\n				SHPCP December 2024 Lunch & Learn	\n\n\n		\n	\n		HPC Society March 2025 Lunch & Learn
URL:https://hpc-ai-society.org/event/hpc-society-january-2025-lunch-learn/
LOCATION:HCC West Loop Campus\, 5601 W Loop S.\, Room C142\, Houston\, 77081\, United States
CATEGORIES:Lunch & Learn,SHPCP
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