Results 211 to 220 of about 768,033 (273)
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
Multiscale parcellation of dynamic causal models of the brain. [PDF]
Zarghami TS.
europepmc +1 more source
A soap‐film inspired strategy enables the fabrication of ultrathin yet robust GelMA‐PAAm membranes for breathing lung culture. The hydrogel membrane supports long‐term cyclic deformation under air‐liquid interface conditions, enabling physiologically relevant breathing motions of engineered lung tissue culture. ABSTRACT Breathing continuously stretches
Yunji Lee +9 more
wiley +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
Beyond Random Splits: Assessing the Generalization of Graph and Vector Models for WT-Structure-Only Drug Resistance Prediction under Protein-Disjoint Evaluation. [PDF]
Cheng Z, Wu H, Ming D.
europepmc +1 more source
This work introduces sustainable PLA/graphene oxide bioelectronic interfaces featuring electrodes with tunable conductivity and strong electrocatalytic performance. These platforms were used to implement a new method for tuning astrocyte Ca2+ signaling and for the efficient detection of key biomarkers.
Alessandra Scidà +15 more
wiley +1 more source
Ontology-driven dual-channel relational graph convolutional network (DCR-GCN) for lettuce leaf phenotype classification. [PDF]
Li T +7 more
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
Entropy estimation in acetylcholinesterase-donepezil interaction through topological indices: a graph theoretical perspective. [PDF]
Gayathri KB, Roy S, Jyothish K.
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

