Results 151 to 160 of about 12,723 (241)
Metal‐halide perovskite solar cells offer high‐efficiency power for orbital missions but suffer from permanent proton‐induced degradation. This work identifies non‐ionizing energy loss (NIEL) as the primary driver of irreversible failure, inducing atomic displacements and microcracks in the high‐fluence regime. Through energy‐tuned mapping and scalable
Jangwon Byun +10 more
wiley +1 more source
In this work, we propose a chiral stereo‐anchoring strategy to modulate the colloidal evolution and crystallization behavior of FAPbI3 perovskites via stereochemical molecular design, which effectively regulates nucleation kinetics and promotes ordered crystal growth.
Runkang Wang +14 more
wiley +1 more source
Incorporation of N‐based onium ions into the ionic framework of poly(heptazine imide) was obtained via protonation‐deprotonation of PHI frameworks arising from a parent Na‐containing analogue. Particularly, methylammonium moieties, through their small molecular size, hydrogen bonding capabilities and rotational mobility, appear to stabilize ...
Dingqiao Ji +6 more
wiley +2 more sources
Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union
This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa +3 more
wiley +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
A Nonbenzenoid Nanographene Horse Saddle With Four Pentagon–Octagon Pairs
Horse‐saddle molecule: We report herein the design and synthesis of an unprecedented saddle‐shaped non‐benzenoid Nanographene featuring a fused four‐pair pentagon–octagon core. The horse‐saddle structure of HN1 is determined by single‐crystal X‐ray diffraction.
Qiang Huang +11 more
wiley +2 more sources
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi +3 more
wiley +1 more source
A vapor‐phase molecular toughening strategy is developed for pilot‐scale roll‐to‐roll (R2R) ‐compatible fabrication of flexible perovskite solar modules. Thiol vapor selectively regulates crystallization and anchors at grain boundaries, reducing defects while enhancing mechanical resilience.
Lirong Dong +18 more
wiley +2 more sources
In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs
A vision‐based add‐on transforms commercial spin coaters into autonomous modules of Self‐Driving Labs. Combining a width‐scaled U‐Net with classical geometric analysis, the system simultaneously measures contact angles and estimates substrate pose using a single camera.
Sven Fischer, Micha Hiegle, Holger Röhm
wiley +1 more source

