Results 151 to 160 of about 65,895,196 (213)

Economic Efficiency of Small-Holder Cocoyam Farmers in Anambra State, Nigeria: A Translog Stochastic Frontier Cost Function Approach [PDF]

open access: yes
This study employed a translog stochastic frontier cost function to measure the level of economic efficiency and it’s determinants in small-holder cocoyam production in Anambra state, Nigeria.
Onyenweaku, C.E   +2 more
core  

Giant Anisotropic Spin Absorption in Chiral Hybrid Semiconductors

open access: yesAdvanced Materials, EarlyView.
Researchers uncover that chiral hybrid organic–inorganic semiconductors absorb spin differently depending on its polarization direction. This anisotropic spin absorption is primarily driven by the local symmetry breaking within the layered structure.
Cong Yang   +12 more
wiley   +1 more source

High-growth firms, innovation and the distance to the frontier [PDF]

open access: yes
This paper studies the differences in the R&D and innovation behaviour of high-growth firms for 16 EU countries. The results confirm that R&D and innovation are important characteristics for high-growth firms in countries close to the technological ...
Werner Hölzl, Klaus Friesenbichler
core  

Phase‐Engineered MoS2 Quantum Monolayer Catalysts

open access: yesAdvanced Materials, EarlyView.
A new type of catalyst model—phase‐engineered MoS2 quantum‐monolayer catalyst (∼0.8 nm thick, < 6 nm in the lateral size; switchable freely among metallic 1T, semiconducting 2H, and a hybrid phase of metallic‐semiconducting 1T‐2H)—is reported. It can efficiently and stably drive photochemical H2, syngas and ammonia synthesis as a catalyst or co ...
Ruijie Yang   +12 more
wiley   +1 more source

Low Permeability Media: A Research Frontier

open access: yesOil & Gas Science and Technology, 2016
Van Damme Henri
doaj   +1 more source

Plural Form and Franchise Chains Efficency: A Dea Meta-Frontier Approach applied to French Chains [PDF]

open access: yes
This paper deals with the performance of franchise chains related to their percentage of company-owned outlets (PCO). This research uses a Data Envelopment Analysis (DEA) to assess franchise chains’ efficiency, and a meta-frontier approach to analyze ...
Gérard Cliquet   +2 more
core  

Ionic Cocrystal Programming of Spatial Ionic Organization in Carbon Nitrides Enables Highly Efficient H2O2 Photosynthesis

open access: yesAdvanced Materials, EarlyView.
Ionic cocrystal‐programmed ionic organization establishes a general strategy for electrostatic programming in polymeric photocatalysts. ABSTRACT Controlling the spatial organization of ions in polymeric photocatalysts remains a fundamental challenge for optimizing charge transport and catalytic selectivity in solar‐driven hydrogen peroxide (H2O2 ...
Anna Lo Presti   +6 more
wiley   +1 more source

Descriptor‐Informed Screening of Interface‐Active Molecules for Efficient Magnesium Metal Anodes

open access: yesAdvanced Materials, EarlyView.
A descriptor‐informed molecular screening strategy identifies 4‐bromo‐N, N‐dimethylaniline (BrNNA) as an interface‐active electrolyte component that enables fast Mg stripping/plating in Mg(TFSI)2‐based electrolytes. By simultaneously regulating Mg2+ solvation and interphase formation, the BrNNA‐containing electrolyte delivers activation‐free Mg ...
Hao Xu   +16 more
wiley   +1 more source

Methanesulfonic Acid as a Dual‐Role Reagent for Porous Polymer Network Design

open access: yesAdvanced Materials, EarlyView.
The design of porous polymer networks (PPNs) using methanesulfonic acid (MSA) as a dual‐role reagent facilitates the synthesis of robust PPNs for specific applications. It also makes the scale‐up process techno‐economically feasible because MSA functions simultaneously as both a solvent and a catalyst for the reaction.
Kelechi Festus   +8 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

open access: yesAdvanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng   +24 more
wiley   +1 more source

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