Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...
Material science, at its core, is an interdisciplinary field focusing on the discovery and design of new materials. It combines elements of physics, chemistry and engineering to understand and ...
Artificial Intelligence and its related tools, such as machine learning, deep learning, and neural networks, are revolutionizing every field of life. The domain of materials science and engineering is ...
The Smithsonian's goal for science resources in grades PK–12 is to provide a well-rounded, inquiry-based, and engaging educational experience that nurtures scientific literacy, critical thinking, and ...
High-quality instructional materials (HQIMs) are educational resources designed to effectively support student learning. They can include textbooks, lesson plans, digital resources and other materials ...
The authors note that large language models, particularly generative systems capable of producing contextualized text, are ...
"This research gives voice to pre-K teachers nationwide and reveals gaps in instructional materials, professional learning, and technology adoption that shape their work and classrooms," said ...
To address learner preferences and complex topics, it is often helpful to present content in a variety of ways. Instructional videos are an alternative way to present information and are encouraged ...
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