The longitudinal structure of cognition in the ABCD study and associations with neural function and psychopathology: A Bayesian probabilistic principal components analysis. [PDF]
Luciana M, Duffy KA, Thompson WK.
europepmc +1 more source
A Wireless, Passive Multimodal Wearable Sensor With Decoupled Sensing Capabilities
A wireless passive multimodal electronic skin is presented for the simultaneous perception of pressure, humidity, and odor through a frequency‐divided LC resonator array. The decoupled sensing architecture suppresses cross‐interference and enables independent signal readout under superimposed stimuli while maintaining high stability.
Wenjiang Han +8 more
wiley +1 more source
Low-Temperature Prediction in Commercial Lithium-Ion Batteries during Dynamic Usage via Enhanced Physics-Informed Neural Networks. [PDF]
Pereira EL, Soares DM.
europepmc +1 more source
Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko +2 more
wiley +1 more source
Generalized EIS Measurement Method in Li-Ion Batteries. [PDF]
Nogales JM +4 more
europepmc +1 more source
Mixed‐cation lead mixed‐halide perovskites suffer from structural instabilities linked to nanoscale heterogeneity. To probe this non‐destructively, a low‐dose, concurrent 4D‐STEM and EDX methodology has been developed. Examining a (FA0.83Cs0.17)Pb(I0.8Br0.2)3 film revealed a complex mosaic of coexisting crystal structures. Crucially, local deficiencies
Jinseok Ryu +6 more
wiley +1 more source
Projecting environmental improvements in mineral processing pathways: the case of cathode active material production. [PDF]
Roy S, Vaidya K, Harvey JP, Fradette L.
europepmc +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
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
The Lithium-Ion Battery Recycling Trilemma: Bridging the Gap Between Material Science, Economic Reality, and Regulatory Policy. [PDF]
Zhang Q.
europepmc +1 more source

