Results 111 to 120 of about 5,985 (229)
Context matters in PROTAC design: navigating the trade-off between degradation and developability. [PDF]
Zhang B +11 more
europepmc +1 more source
Single‐Chromophore Homojunction Organic Solar Cells: A Path to Simplicity and Efficiency
This perspective discusses how the intrinsic optoelectronic properties of organic semiconductors, their molecular packing in the solid‐state, and internal energetic gradients within a device can enable free‐charge carrier generation in homojunction organic solar cells.
Shaun McAnally +2 more
wiley +1 more source
Dual-Polysaccharide Reinforced Pickering Emulsion Gels for Tailoring Microstructure and Enhancing 3D Printing Performance. [PDF]
Zhou H, Song X, Zhang Z, Li H, Yang W.
europepmc +1 more source
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
From Ternary Modeling to Predictive PROTAC Design: A Computational Perspective. [PDF]
Schulz JM, Reynolds RC, Schürer SC.
europepmc +1 more source
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 +10 more
wiley +1 more source
Wafer-Scale 3D Integration for High-Density Multi-Valued Neuromorphic Logic. [PDF]
Kim CH +5 more
europepmc +1 more source
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
Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi-scenario applications, and translational prospects. [PDF]
Qin S +10 more
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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

