Results 81 to 90 of about 12,263,359 (280)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Virtual learning object: An asynchronous solution for virtual learning in dentistry post COVID‐19 [PDF]
Journal of Dental Education, 2020 Aguilar‐Gálvez, Denisse +3 more
openaire +2 more sources
, 2014 Different virtual learning environments offer different affordances and pedagogical design for learning interactions which results in difference learning interaction patterns.
Maka Eradze +3 more
core +1 more source
“Smelltronics”—From Gas to Smell Sensing
Advanced Materials, EarlyView.The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Advanced Materials, EarlyView.We mechanically program liquid crystal elastomer coatings as a stimuli‐responsive and digitally addressable platform for refreshable tactile displays; we validate the perceptual performance of our dynamic device matches conventional static tactile media.
Tom Bruining +9 more
wiley +1 more source
Stellate Cells in the Medial Entorhinal Cortex Are Required for Spatial Learning
Cell Reports, 2018 Summary: Spatial learning requires estimates of location that may be obtained by path integration or from positional cues. Grid and other spatial firing patterns of neurons in the superficial medial entorhinal cortex (MEC) suggest roles in behavioral ...
Sarah A. Tennant +7 more
doaj +1 more source
Artificial Intelligence Meets Micro/Nanorobotics
Advanced Materials, EarlyView.Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever +6 more
wiley +1 more source
Searching for and positioning of contextualized learning objects
International Review of Research in Open and Distributed Learning, 2012 Learning object economies are marketplaces for the sharing and reuse of learning objects (LO). There are many motivations for stimulating the development of the LO economy.
Silvia Margarita Baldiris Navarro +3 more
doaj +1 more source
Navigating a 3D virtual environment of learning objects by hand gestures
International Journal of Advanced Media and Communication, 2007 This paper presents a gesture-based Human-Computer Interface (HCI) to navigate a learning object repository mapped in a 3D virtual environment. With this interface, the user can access the learning objects by controlling an avatar car using gestures.
Qing Chen +4 more
openaire +1 more source