Results 191 to 200 of about 528,970 (290)

Energetic Offset in Organic Solar Cells‐ Importance, Confusion and Outlook

open access: yesAdvanced Materials, EarlyView.
Energetic offsets in organic solar cells (OSCs) remain a subject of debate due to measurement‐ and lab‐dependent discrepancies. This Perspective clarifies the physical origins of these variations and identifies temperature‐dependent electro‐optical methods as a reliable approach to obtain consistent offset values.
Nakul Jain   +5 more
wiley   +1 more source

Machine Learning in Nonhuman Primate Models of Infectious Diseases: Current Applications and Future Perspectives. [PDF]

open access: yesJ Am Assoc Lab Anim Sci
Koo BS   +6 more
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

open access: yesAdvanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Aerial LiDAR-Based, Source-Resolved Methane Emissions Inventory: Permian Basin Case Study for Benchmarking U.S. Emissions. [PDF]

open access: yesEnviron Sci Technol
Donahue CP   +14 more
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
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

Evaluating Injection Laryngoplasty Skills Using a Foundation Model: A Feasibility Study. [PDF]

open access: yesLaryngoscope
Cheng AT   +6 more
europepmc   +1 more source

Dynamic Electrophoretic Assembly Coupled With Water‐Splitting‐Induced pH Control Enables Precision Ion Sieving Membranes

open access: yesAdvanced Materials, EarlyView.
A green, external‐catalyst‐free route grows defect‐free covalent organic framework membranes directly on ion‐exchange supports using an alternating electric field and in situ‐generated acid. Through a self‐regulating, self‐healing mechanism, the membranes achieve near‐complete, ultra‐fast separation of monovalent ions such as Li+, Na+, and K+, offering
Mohammad Hossein Jandaghian   +8 more
wiley   +1 more source

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