Results 241 to 250 of about 250,916 (308)

Lattice Distortion‐Driven Metal Exsolution in Perovskite Oxides

open access: yesAdvanced Science, EarlyView.
This study elucidates the mechanism of lattice distortion‐driven exsolution through a combination of computational simulations and experimental approaches. Lattice distortion facilitates the formation of oxygen vacancies and subsequent metal segregation, thereby enhancing the exsolution behavior.
Yo Han Kim   +5 more
wiley   +1 more source

Imagining Futuretypes| Everybody and Nobody: Visions of Individualism and Collectivity in the Age of AI

open access: yesInternational Journal of Communication, 2016
Aram Sinnreich   +4 more
doaj  

Synthesis and Characterization of Lithium Mining Waste and Metakaolin-Based Geopolymers. [PDF]

open access: yesACS Omega
Sampaio VFC   +6 more
europepmc   +1 more source

Beyond Electrostatics: Anion‐π+ Orbital Hybridization Underpins High‐Performance Chloride Storage in Poly(arylamine) Organic Cathodes

open access: yesAdvanced Science, EarlyView.
The fundamental nature of anion storage in p‐type organic cathodes is elucidated using rigid poly(arylamine) frameworks. This study reveals a hybrid covalent‐ionic mechanism for anion‐π+ interactions, driven by synergistic orbital hybridization and electrostatic attraction.
Tiantian She   +7 more
wiley   +1 more source

A Disaggregation Strategy for Nanopesticide Fabrication: Investigating the Impact of Nanosizing on Pesticide Biointeractions

open access: yesAdvanced Science, EarlyView.
To explore the impact of nanosizing on pesticide biointeractions, a 7‐nm (average) emamectin benzoate nanopesticide without nanocarriers or surfactants is fabricated via HOAc‐mediated disaggregation. Nanosizing enhances bioactivity against Megalurothrips usitatus and Meloidogyne enterolobii and improves plant penetration.
Jiaqi Wei   +11 more
wiley   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

open access: yesAdvanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu   +5 more
wiley   +1 more source

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