Results 131 to 140 of about 153,437 (261)

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

Everything All at Once: On Choosing an Estimand for Multi-component Environmental Exposures. [PDF]

Epidemiology
Rudolph KE, Inose S, Williams NT, Díaz I, Calderon L, Torres JM, Kioumourtzoglou MA.   +6 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

Hemifield-Specific Motion Extrapolation Reveals Limits of Interhemispheric Integration. [PDF]

eNeuro
Olenick CE, Fallah 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

From Biological Mechanisms to Causal Inference: Quantitative Systems Pharmacology and Causal Frameworks in Drug Development. [PDF]

Clin Pharmacol Ther
Klabunde T, Hernandez R, van der Graaf PH, Andreani T.   +3 more
europepmc   +1 more source

Laser‐Assisted Phase Engineering of 2D MoS2 for Efficient Solution‐Processed Electronics

Advanced Materials, EarlyView.
Here, local laser‐assisted phase transition from solution‐processed phase‐pure 1T′ to 2H MoS2 is shown to critically depend on the irradiation atmosphere. While processing in air leads to damaged insulating regions, inert conditions yield semiconducting 2H domains, enabling direct field‐effect transistor patterning with optimized lateral 1T′‐2H MoS2 ...
Anna Zhuravlova, Minjuan Li, Osamah Alharbi, Yeonsu Jeong, Bin Han, Lei Gao, Mischa Bonn, Mario Lanza, Sheng Yang, Antonio Gaetano Ricciardulli, Paolo Samorì   +10 more
wiley   +1 more source

Toxicokinetic-Informed Evidential Learning for Applicability-Domain-Aware QSAR/QSPR Prediction of Environmental Contaminant Toxicity. [PDF]

Molecules
Huang X, Zheng J, Zheng Z, Xu W.
europepmc   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Hidden Order in the Apparent Chaos of Bias Temperature Instability. [PDF]

Micromachines (Basel)
Bernstein JB.
europepmc   +1 more source