Results 171 to 180 of about 9,135,400 (294)

Chloride-Bridge Reshaped Electric Double Layer Enables Oriented Deposition for High-Performance Aqueous Aluminum Ion Batteries. [PDF]

Adv Mater
Yang X, Liu X, Gao W, Wang C, Chen Z, Luo Y, Zhu M, Wu Y, He J.   +8 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

Advanced 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

Disentangling Electronic and Geometric Effects in Ternary NiFeX Layered Double Hydroxide Catalysts for Oxygen Evolution. [PDF]

J Am Chem Soc
Choi D, Buchheister PW, Somaiya R, Ligay D, Podbielski G, Lu J, Schröer P, Bumenn E, Galkina I, Scheepers F, Brejwo Z, Hartmann A, Paul B, Thanh TN, Klingenhof M, Karl A, Jodat E, Eichel RA, Zeng Z, Dionigi F, Strasser P.   +20 more
europepmc   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

Network analysis of core symptom changes in hepatocellular carcinoma survivors after transarterial chemoembolization: A longitudinal study. [PDF]

Front Oncol
Wang S, Wang X, Jiang N, Hu Y, Guo L, Zhang L, Liu Y, Kong S, Zhang Y.   +8 more
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Global research landscape versus disease burden in pneumoconiosis diagnosis: a dual-source bibliometric analysis [1999-2025]. [PDF]

J Thorac Dis
Zhao L, Chen L, Zhao F, Li J, Zhang H, Zhou Y, Li J, Jin R, Zhang S, Liu Y, Yao Y, Wu C, Liu D.   +12 more
europepmc   +1 more source

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

Advanced 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

Dissipation in the broadband and ultrastrong coupling regimes of cavity quantum electrodynamics: an ab initio quantized quasinormal mode approach. [PDF]

Light Sci Appl
Gustin C, Ren J, Franke S, Hughes S.
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced 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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source