Results 111 to 120 of about 586,183 (308)

Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning

open access: yesAdvanced Energy Materials, EarlyView.
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil   +4 more
wiley   +1 more source

Bringing Foundations and Governments Closer - Evidence from Mexico [PDF]

open access: yes, 2017
The recommendations formulated in the study provide the basis for close and effective cooperation between Mexican foundations and government agencies, including the Mexican Agency for International Development Co-operation, Agencia Mexicana de ...
netFWD OECD
core  

Atomistic Insights Into Lithium Alloying and Crystallization at Metal Interlayers in Zero‐Excess Lithium Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Molecular dynamics simulations with machine learning potentials, combined with experiments, reveal how interlayer metals govern Li alloying and crystallization in zero‐excess lithium batteries. Mg and Zn promote solid‐solution alloy‐mediated pathways that influence Li diffusion and structural uniformity, while Bi forms ordered intermetallics with more ...
Neubi F. Xavier Jr.   +10 more
wiley   +1 more source

Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
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

π‐Enlargement in Porphyrin Macrocycles at Interfaces

open access: yesAngewandte Chemie, EarlyView.
On‐surface synthesis of a 20‐π free‐base expanded porphyrin, by depositing onto a hot Ag(111) substrate an 18‐π free‐base precursor equipped with ‐CF3 functional groups ABSTRACT Porphyrins are essential heteroatomic macrocycles, fundamental to both biological systems and advanced technology.
Ana Barragán   +11 more
wiley   +2 more sources

Responsiveness of the Spanish Version of the “Skin Cancer Index”

open access: yesJournal of Skin Cancer, 2016
Background. Skin Cancer Index (SCI) is a specific questionnaire measuring health related quality of life (HRQL) in patients with cervicofacial non-melanoma skin cancer (CFNMSC).
M. de Troya-Martín   +8 more
doaj   +1 more source

Enhancing Atomic‐Resolution in Electron Microscopy: A Deep Learning Denoiser Operating in the Frequency Domain

open access: yesAdvanced Intelligent Systems, EarlyView.
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet   +8 more
wiley   +1 more source

Delayed Halide‐Rich Molecular Passivation of CsPbCl3 Perovskite Nanocrystals Enables Bright Violet Light‐Emitting Diodes

open access: yesAngewandte Chemie, EarlyView.
POCl3 enables delayed dual passivation in CsPbCl3 nanocrystals by slowly releasing Cl‐containing and phosphonic species that heal halide vacancies and Pb‐related defects over time. This self‐healing boosts PLQY by >40‐fold, preserves efficient violet emission for over 2 months in air, and yields a record 409 cd m−2 luminance for CsPbCl3 violet LEDs ...
Nadesh Fiuza‐Maneiro   +14 more
wiley   +2 more sources

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

open access: yesAdvanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez   +4 more
wiley   +1 more source

A Negatively Curved Pyrene‐Fused Azaacene

open access: yesAngewandte Chemie, EarlyView.
A pyrene‐fused azaacene derivative is reported in which steric overcrowding caused by eight phenyl substituents induces bending of the aromatic framework rather than twisting. ABSTRACT Non‐planar aromatic hydrocarbons display distorted π‐frameworks that give rise to unique optoelectronic properties.
Marco Carini   +3 more
wiley   +2 more sources

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