Results 131 to 140 of about 5,165 (285)

Strategies for Realizing Industry 5.0 Inclusive Sustainability Goals for Sustainable Development: A Structured Framework for Overcoming Barriers and Guiding Transformation

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Industry 5.0 has emerged to address the limitations of Industry 4.0 by emphasizing inclusive sustainability through environmentalism, human‐centricity, and resilience. However, its development faces barriers across technological, organizational, and social dimensions.
Mohammad Ali Beheshtinia   +4 more
wiley   +1 more source

Probing the Influence of Sulfur–Aromatic Interactions on the Electronic Structure of Gas‐Phase Peptides

open access: yesChemistry – A European Journal, EarlyView.
Just as fingerprints reveal identity, spectroscopic fingerprints reveal molecular secrets. In this article, we show parts of the unique fingerprint of the sulfur–aromatic interaction. By measuring how this force alters the electronic structure of gas‐phase peptides, we provide a fundamental understanding of interactions that give insights into the ...
Laura Pille   +12 more
wiley   +1 more source

The effect of trait choice on hybrid species distribution model projections under climate change

open access: yesEcography, EarlyView.
Species distribution models (SDMs) have been increasingly combined with thermal performance data to enhance their transferability and to provide a physiological explanation for the predicted geographic patterns. Yet, while it is widely acknowledged that thermal sensitivities may vary among biological traits, it remains largely unexplored to what extent
Soria Delva   +7 more
wiley   +1 more source

Defect Engineering and Effect of Vacancy Concentration on the Electrochemical Performance of V‐Based MXenes

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Using a top‐down defect engineering approach, controllable vacancy concentrations are introduced into V‐based MXenes by rationally designing the precursor MAX phase, aiming to investigate the effect of vacancy concentration on the electrochemical performance.
Leiqiang Qin   +7 more
wiley   +1 more source

Boosting Zinc‐Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The work presents an innovative method for the preparation of mesoporous carbon materials (MCs) from highly graphitized carbon quantum dots. The zinc‐ion hybrid capacitors assembled with MCs deliver high rate performance and stability, providing promising advancements for future energy storage solutions.
Guoli Zhang   +6 more
wiley   +1 more source

Asynchrony in Quantum-Dot Cellular Automata Nanocomputation: Elixir or Poison? [PDF]

open access: yes, 2011
Blua, D.   +3 more
core   +1 more source

Computationally Driven Advances in Cu‐CNT On‐Chip Interconnect Materials: From First Principles to Machine Learning

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang   +11 more
wiley   +1 more source

Nanofiber PVA‐Based Membranes Incorporating Functionalized Spanish Broom Derivatives for Sustainable Water Purification

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study investigates Spanish broom (Spartium junceum) as a renewable source for electrospun composite membranes in sustainable water purification. MCC and biochar were functionalized with eco‐friendly precursors and nanomaterials (i.e., HNT, β‐CDs) to develop hybrid PVA nanofiber composites.
Giulia Rando   +7 more
wiley   +1 more source

Molecular QCA: a write-in system based on electric fields [PDF]

open access: yes, 2011
Abrardi, C.   +4 more
core   +1 more source

A General Framework for Knowledge Integration in Machine Learning for Electromagnetic Scattering Using Quasinormal Modes

open access: yesLaser &Photonics Reviews, EarlyView.
Neural networks can accelerate modeling and inverse design of electromagnetic devices by several orders of magnitude, but usually require large amounts of data to train. This work demonstrates that integrating knowledge about quasinormal modes into the network architecture reduces the required amount of training data significantly, while simultaneously
Viktor A. Lilja   +3 more
wiley   +1 more source

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