Results 231 to 240 of about 114,426,441 (303)
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
Specific ortho‐halogenation transforms crystalline TADF emitters into efficient organic scintillators. Fluorine reduces the effective singlet–triplet separation, while chlorine combines near‐degenerate excited states with vibrational modulation of spin–orbit coupling.
Illia E. Serdiuk +8 more
wiley +1 more source
Graph neural networks based log anomaly detection and explanation. [PDF]
Li Z, Shi J, van Leeuwen M.
europepmc +1 more source
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
Discovery of dynamic tumor microenvironment architecture with targeted agents in the multiplex implantable microdevice assay. [PDF]
Jakubik J, Tatarova Z.
europepmc +1 more source
Spatiotemporal control over cell behavior within bioprinted constructs remains a key challenge in biofabrication. Volumetric bioprinting using multi‐wavelength light sources permits to activate light‐sensitive intracellular proteins as well as optogenetic gene and protein expression circuits in bioprinted cells, in addition to enabling fast printing of
Davide Ribezzi +14 more
wiley +1 more source
GNN-EGG: Graph neural network explanations via graph generation. [PDF]
Taychameekiatchai A +6 more
europepmc +1 more source
We present elastomeric three‐dimensional (3D) microstructures fabricated via two‐photon polymerization (2PP) and post‐processed through wet etching, for quantifying nanonewton (nN)‐scale forces applied by healthy and diseased neural cells. The mechanically characterized free‐standing beam architectures enable measurement of traction forces of ...
Pieter F. J. van Altena +7 more
wiley +1 more source
A sub-Riemannian model of the motor cortex with Wasserstein distance. [PDF]
Ali J, Citti G, Sarti A.
europepmc +1 more source
We present SCIENCE, an in‐ear multimodal physiological monitor featuring two key innovations. Water‐triggered morphological expansion (a 2‐mm cylinder to a 9‐mm spindle) achieves conformal adaptation across complex canal geometries. Simultaneously, active biofouling mitigation disrupts cerumen barriers, reducing sensor‐skin impedance by 20%.
Shuyun Zhuo +3 more
wiley +1 more source

