Sort by
Refine Your Search
-
simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
-
simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
-
optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative AI, or active learning for materials applications. Integration of theory and experiment: Using computation and
-
optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative AI, or active learning for materials applications. Integration of theory and experiment: Using computation and
-
efforts. Build strong industry and external partnerships to advance collaboration, IP development, licensing, and commercialization. Manage and establish mechanisms for the utilization and transfer
-
stars in 9 categories: global engagement, good governance, program strength, academic development, teaching, employability, facilities, arts, and social impact. In October 2024, VinUni was appointed by
-
stars in 9 categories: global engagement, good governance, program strength, academic development, teaching, employability, facilities, arts, and social impact. In October 2024, VinUni was appointed by
-
stars in 9 categories: global engagement, good governance, program strength, academic development, teaching, employability, facilities, arts, and social impact. In October 2024, VinUni was appointed by
-
stars in 9 categories: global engagement, good governance, program strength, academic development, teaching, employability, facilities, arts, and social impact. In October 2024, VinUni was appointed by
-
stars in 9 categories: global engagement, good governance, program strength, academic development, teaching, employability, facilities, arts, and social impact. In October 2024, VinUni was appointed by