Results 171 to 180 of about 666,445 (211)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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
Towards a Neurocognitive Profile of Post-Acute COVID-19: A Longitudinal Study Integrating Subjective Complaints and Computerized Cognitive Testing. [PDF]
Hristova M +3 more
europepmc +1 more source
Advanced Materials for Biologics Delivery to Brain Tumors
Material innovation is central to unlocking the therapeutic potential of biologics against many central nervous system diseases, including brain cancer. By engineering carriers with controlled transport, targeting, and release properties, advanced materials can overcome the blood–brain barrier and tumor microenvironment, improving the delivery of ...
Yuran Feng +4 more
wiley +1 more source
Associations of Brain Structure and Neuropsychological Function With Artificial Intelligence Estimates of Biological Vascular Age. [PDF]
Cooper LL +10 more
europepmc +1 more source
Bridging Biosensing and Hardware‐Level Data Security With a Conjugated Radical Polymer
A conjugated radical polymer provides two complementary functions within a common material platform: sensitive dopamine biosensing and device‐specific stochastic electrical responses for security. The work demonstrates a materials‐based approach for combining bioelectronic signal acquisition with hardware‐level authentication while maintaining the ...
Hoyeon Lee +9 more
wiley +1 more source
Community of inquiry presences and undergraduates' online learning outcomes: self-regulated learning as a pathway and knowledge-seeking intention as a boundary condition. [PDF]
Li J, Huang J, Kumar J.
europepmc +1 more source

