Results 141 to 150 of about 143,234 (261)

Crystal Growth Engineering for Dendrite‐Free Zinc Metal Plating

Advanced Materials, EarlyView.
This research employed the rare‐earth ion dysprosium (Dy) to modulate aqueous zinc (Zn) metal plating. Integrated multiscale experiments and computational modeling unveiled the preferential adsorption of Dy on specific crystal facets, which activated screw dislocation‐driven Zn growth.
Guifang Zeng, Sharona Horta, Qing Sun, Malik Dilshad Khan, Maria Ibáñez, Yuhang Han, Shang Wang, Longqiu Li, Lijie Ci, Yanhong Tian, Andreu Cabot   +10 more
wiley   +1 more source

Atomistic Mechanisms Triggered by Joule Heating Effects in Metallic Cu‐Bi Nanowires for Spintronics

Advanced Materials, EarlyView.
Bi doped metallic Cu nanowires are promising for spintronics thanks to the stabilization of a giant spin Hall effect. However, heat resulting from current injection forces Bi to leave solution, forcing segregation into monoatomic decorations which evolve into coherent crystalline aggregates.
Alejandra Guedeja‐Marrón, Juan Ignacio Beltrán, Matilde Saura‐Múzquiz, Paolo Perna, M. Carmen Muñoz, Lucas Pérez, Maria Varela   +6 more
wiley   +1 more source

Development of Pediatric Dosing for Mepolizumab in Severe Asthma Based on Extrapolation of Data From Adult Patients and a Phase II Open-Label Pediatric Trial. [PDF]

J Clin Pharmacol
Gupta A, Pouliquen IJ, Phipatanakul W, Austin D, Whelan G, Price RG, Finney-Hayward T, Derey S, Steinfeld J.   +8 more
europepmc   +1 more source

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

Advanced 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, Xian'e Li, Mats Fahlman, Olle Inganäs, Koen Vandewal, Feng Gao   +5 more
wiley   +1 more source

Progression to Wheelchair in Secondary Progressive Multiple Sclerosis and Impact of Siponimod: Post Hoc Analyses From the EXPAND Study. [PDF]

Eur J Neurol
Vermersch P, Arnould S, Gold R, Kappos L, Fox R, Bar-Or A, Cree BAC, Ansari S, Meier DP, Karlsson G, Rouyrre N, Giovannoni G.   +11 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

Extrapolation of Time-to-Event Survival Outcomes of Histology-Independent Therapies Using a Bayesian Hierarchical Model. [PDF]

Med Decis Making
Mikelson J, Birnie R, McCarthy G, Madin-Warburton M, Xu R, Chumbley J, Aguiar-Ibáñez R, Amonkar M, Baio G, Young K.   +9 more
europepmc   +1 more source

Resistance to Overdoping Allows Over 2000 S cm−1 Conductivity in P(g3BTTT) With Anion‐Exchange Doping

Advanced Materials, EarlyView.
Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger, Maximilian M. Horn, Eva Röck, Diego Rosas Villalva, Lize Bynens, Jochen Vanderspikken, Christina Kousseff, Silène Gobeil, Olivier Bardagot, Nesibe Akmanşen‐Kalayci, Sarah H. Tolbert, Iain McCulloch, Wouter Maes, Demetra Tsokkou, Natalie Banerji   +14 more
wiley   +1 more source

Physics-informed deep learning for molecular solubility prediction: integrating thermodynamic constraints with neural network architectures. [PDF]

Sci Rep
Amiri M.
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