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
Evaluation of the effectiveness of digital health interventions in the postoperative management of lung transplant recipients. [PDF]
Deng Y, Lin X, Lin Y, Chen W.
europepmc +1 more source
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae +13 more
wiley +1 more source
Assessment and economic analysis of photovoltaic power generation potential on highway slope: a case study of Guangxi, China. [PDF]
Li J +6 more
europepmc +1 more source
Phase‐Pure and Size‐Tunable Tin Halide Perovskite Quantum Dots
A trioctylphosphine oxide modulated protocol allows for the synthesis and study of the optical properties of a broad library of tin halide perovskite quantum dots across multiple A‐ and X‐site compositions with precise size tuning while eliminating unwanted 2D phases.
Ole F. Dressler +7 more
wiley +1 more source
Integrating remote sensing and multi-criteria decision analysis for groundwater zoning in the Eastern Desert of Egypt. [PDF]
Ezz H.
europepmc +1 more source
Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang +14 more
wiley +1 more source
Macroinvertebrate communities respond to spatial patterns of water quality and habitat within mining-influenced headwater streams of central Appalachia. [PDF]
McMillan M +4 more
europepmc +1 more source
Emergent Spin Supersolids in Frustrated Quantum Materials
This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang +2 more
wiley +1 more source

