Results 171 to 180 of about 915,308 (289)

Hybrid Two‐Step Inkjet Printing and Dip‐Coating Enable Scalable 30%‐Efficient Perovskite/Silicon Tandem Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
Adopting a scalable hybrid two‐step deposition process route, textured perovskite/silicon tandem solar cells achieve over 30% power‐conversion efficiency. The process route replaces all non‐scalable spin‐coating steps, including organic precursor deposition, self‐assembled monolayer formation, and passivation layer deposition, with scalable techniques ...
Raphael Pesch   +16 more
wiley   +1 more source

Design and optimization of the Wien filter for the muon source facility at CSNS. [PDF]

open access: yesSci Rep
Wei J   +9 more
europepmc   +1 more source

Synergistic Fluoride and Polymer‑Regulated Interfacial Engineering of NiFe‑LDH Anodes for Ampere‑Scale Natural Seawater Electrolysis

open access: yesAdvanced Energy Materials, EarlyView.
Schematic comparison of optimized F–NiFe–LDH and conventional NiFe–LDH electrodes during alkaline natural seawater oxygen evolution. The synergistic (poly)CM protective layer and fluoride‐mediated passivation suppress metal leaching, mitigate chloride‐induced corrosion, and regulate surface reconstruction, preserving catalyst integrity beyond 1000 h ...
Xiang Li   +7 more
wiley   +1 more source

Site Density Governs Switching Reactivity Regimes During Aerobic C─H Oxidation in Mn Single‐Atom Photocatalysts

open access: yesAngewandte Chemie, EarlyView.
Increasing the density of isolated manganese (Mn) atoms in carbon nitride (CNx) photocatalysts does not continuously improve performance. Instead, beyond a critical loading, the polymer support reorganizes, altering charge‐carrier dynamics and oxygen activation while preserving atomic dispersion.
Viktoria Velichko   +14 more
wiley   +2 more sources

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia   +2 more
wiley   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

open access: yesAdvanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin   +4 more
wiley   +1 more source

Multi-Scale Gradient Fiber Structure Hierarchical Flexible Ceramic Aerogel for High-Temperature Filtration. [PDF]

open access: yesNanomaterials (Basel)
Guo CH   +9 more
europepmc   +1 more source

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