Results 151 to 160 of about 68,273 (255)

Organic Photoelectrochemical Cells Beyond Performance: Interface and Catalyst Engineering for Durability

open access: yesAdvanced Energy Materials, EarlyView.
Organic photoelectrochemical cells based on π‐conjugated semiconductors offer a versatile platform for solar fuel generation. This review outlines operating principles, device architectures, and key metrics, and highlights advances in p‐ and n‐type photoelectrodes, interfacial engineering, and catalyst integration.
Jaehyeong Kim   +8 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

Sustainable Productivity Growth in Agriculture: The Role of Shifts in R&D Investments and Technology

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT The objective of the paper is to evaluate the long‐term prospects of sustainable productivity growth linked to plausible assumptions on public agricultural R&D investments as the key productivity driver. Second, it investigates the role of changing R&D focus from yield maximization to input saving technologies (fertilizers and pesticides). The
Zuzana Smeets Křístková   +4 more
wiley   +1 more source

Design and Analysis of Optical-Mechanical-Thermal Systems for a High-Resolution Space Camera. [PDF]

open access: yesSensors (Basel)
Liu X   +10 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Excited‐State Pathway Switching via Reversible Structural Phase Transitions in Sb3+‐Doped Cadmium Halides

open access: yesAngewandte Chemie, EarlyView.
Octahedral (DFPD)6CdCl8:10%Sb and tetrahedral (DFPD)2CdCl4·H2O:5%Sb exhibit distinct luminescence dictated by coordination geometry. Solvent‐induced reversible phase transformation enables dynamic switching between yellow and deep‐orange emission. Combined experimental and computational studies elucidate the luminescence mechanisms, and the reversible ...
Zhe Tang   +7 more
wiley   +2 more sources

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Home - About - Disclaimer - Privacy