Results 141 to 150 of about 5,986 (239)
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
Scaling laws for rockfall impact fragmentation emerging from diverse lithologies. [PDF]
Vergara Á, Palma S, Fuentes R.
europepmc +1 more source
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son +20 more
wiley +1 more source
Singlet-like correlations: equal peak work, unequal robustness. [PDF]
Svozil K.
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
Correlations and Kappa Distributions: Numerical Experiment with 3D Collisions and Debye-like Shielding. [PDF]
McComas DJ, Livadiotis G, Sarlis N.
europepmc +1 more source
Associating a red‐NIR phosphorescent octahedral hexanuclear molybdenum cluster compound with hexaethyleneoxide chains bearing mesogenic units on both ends leads to an emissive hybrid liquid crystal showing mesomorphism on a very unusual temperature range down to −25°C.
Killiann Heinz +11 more
wiley +1 more source
First-Principles Thermodynamics of Hydrogen Absorption in Binary C15 Laves Phases. [PDF]
Paetsch CA, Natarajan AR.
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
The configurational length scale in the self-assembly and modulation of higher-order transient protein structures. [PDF]
Haselwandter CA, MacKinnon R.
europepmc +1 more source

