Results 191 to 200 of about 4,232,509 (339)
We discovered novel materials with giant dielectric constants by combining first‐principles phonon calculations and machine learning. Screening 525 perovskites identified six candidates. RbNbO3 was synthesized under pressure and showed ε ≈ 800–1000. This validates our framework as a powerful tool for high‐performance dielectric materials discovery.
Hiroki Moriwake +9 more
wiley +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
[[abstract]]We developed an embodied interactive video game (EIVG) that is both educational and entertaining in the hope of using such system to explore the differences that exist in learning effectiveness between blended and pure digital learning. Apart
Hong, J. C.;Tsai, C. M.;Ho, Y. C.;Hwang, M. Y.;Wu, C. C.
core
Game-based learning in undergraduate medical education: evaluation of an interdisciplinary escape room. [PDF]
Baessler F +16 more
europepmc +1 more source
Not Just Fun and Games: Game-Based Learning in Health Professions Education. [PDF]
Thesen T +15 more
europepmc +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Game-based learning in orthopaedics: A comprehensive review. [PDF]
Chung MMT, Leung F, Wong JSH, Wong TM.
europepmc +1 more source
Game-Based Learning in Neuroscience: Key Terminology, Literature Survey, and How To Guide to Create a Serious Game. [PDF]
Edwards SL +7 more
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Scientific Articulation during Collaborative Digital Game-Based Learning Enhances Learning of Immunology. [PDF]
Low PY, Lim GB.
europepmc +1 more source

