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Interpretable AI reveals key atomic traits for efficient hydrogen storage in metal hydrides
Hydrogen fuels represent a clean energy option, but a major hurdle in making its use more mainstream is efficient storage.
Hydrogen storage is limited by high pressure or cold tanks. Metal hydrides offer efficiency. A large curated database reveals key atomic traits to guide design.
Hydrogen fuels represent a clean energy option, but a major hurdle in making its use more mainstream is efficient storage.
NTT, Inc. used its recent NTT R&D Forum in Tokyo to detail a new AI technology called the Large Action Model (LAM).
Stanford scientist Fei-Fei Li talks about teaching machines to see as humans do, the US-China AI arms race, and what worries ...
DBA Corner focuses on issues of interest to data architects, database analysts and database administrators. Issues addressed by the column include data modeling and database design, database ...
Research shows women's underrepresentation in medtech trials leads to poorer outcomes, but evidence-based design approaches ...
The rapid expansion of large language models' (LLMs) capabilities—including web search, code execution, data analysis and ...
On the International Day for the Elimination of Violence Against Women, we revisit the campaign that poses the questions: why ...
On November 19, Leapmotor unveiled plans to bring its Shanghai styling center online in November 2025, choosing the city's Hongqiao central business district as its new creative base.
Sampaio, A. , Figueiras, J. and Gomes, A. (2025) BIM Applied to Bridges: Single-Cell Box Deck Modelling Supported by Dynamo ...
The old cliché of “It’s hard to improve on perfection” was one thing I always attached to my favourite-ever GPS sportswatch, ...
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