Results 161 to 170 of about 99,166 (266)

A Highly Hydrophilic Air Electrode With Water‐Induced Surface Reconstruction for Efficient Reversible Protonic Ceramic Cell at Low Water Partial Pressures

Advanced Energy Materials, EarlyView.
This work demonstrates a new strategy for reversible protonic ceramic cells (R‐PCCs). By developing highly hydrophilic oxides, efficient operation is achieved under low water vapor pressures while maintaining high performance and stability. This approach addresses the challenge of hydrogen production in freshwater‐scarce regions.
Nai Shi, Yun Xie, Xueyu Hu, Junji Hyodo, Chun‐Kuo Peng, Gaopeng Zhou, Hanwen Liu, Bingbing Qiu, Daqin Guan, Jiayi Tang, Yan‐Gu Lin, Ranran Peng, Moses Oludayo Tadé, Meilin Liu, Yoshihiro Yamazaki, Zongping Shao   +15 more
wiley   +1 more source

Tea-residue-derived carbon nanomaterials for adsorption-degradation coupling: mechanistic insights into pollutant removal and sustainability challenges. [PDF]

RSC Adv
Niyazi S, Shahid M, Raj A.
europepmc   +1 more source

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

Applied 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, Michiel van Dijk, Robert M'Barek, Hans van Meijl, Tomas Ratinger   +4 more
wiley   +1 more source

Mechanical grinding mediated lanthanum modified silicon carbide based nitride carbon composite material enhances adsorption of dye wastewater. [PDF]

RSC Adv
Zhang F, Min Y, Ji Y, Yang J, Jin Z, Wu Z.   +5 more
europepmc   +1 more source

Wine Tourism as a Catalyst for Sustainable Performance: The Mediating Role of Corporate Legitimacy and Green Innovation

Agribusiness, EarlyView.
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó, Eduardo Sánchez‐García, Bartolomé Marco‐Lajara, Luis A. Millán‐Tudela   +3 more
wiley   +1 more source

Nanofiltration for the Removal of Micropollutants from Surface Water and UV/PAA Oxidation of the Resulting Retentate. [PDF]

Materials (Basel)
Bolińska MI, Piekutin J, Kotowska U.
europepmc   +1 more source

Consumer Acceptance of New Sustainable Food Technologies: Upcycling Technology, Biostimulants, and Artificial Intelligence

Agribusiness, EarlyView.
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley   +1 more source

Explainable Deep Learning for Research on the Synergistic Mechanisms of Multiple Pollutants: A Critical Review. [PDF]

Toxics
Liu C, He A, Gu J, Ji M, Hu J, Qiao S, Wang F, Hua J, Wang J.   +8 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

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

Advanced 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, Christian Mark Pelicano   +1 more
wiley   +1 more source