Results 91 to 100 of about 31,799 (246)

Weak‑Solvation‑Mediated Localized High‑Concentration Electrolyte for Sodium Metal Batteries

open access: yesAdvanced Science, EarlyView.
A weak‑solvation strategy using MTBE as a fluorine‑free diluent constructs a localized high‑concentration structure, promoting FSI− coordination and forming an inorganic‑rich SEI. This enables stable cycling with high‑loading cathodes and pouch cells, offering a sustainable, PFAS‑free electrolyte for sodium metal batteries.
Hongxu Qu   +8 more
wiley   +1 more source

Building Ethical Foundations for Economic Models: Ecological Restoration and Conservation in the Ecozoic

open access: yesConservation
Scientists estimate that humanity has exceeded seven of nine planetary boundaries, threatening the entire planet with potentially catastrophic consequences for all species.
Lizah Makombore   +3 more
doaj   +1 more source

Evolution of Physical Intelligence Across Scales

open access: yesAdvanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu   +7 more
wiley   +1 more source

Evolution of cooperation driven by majority-pressure based interdependence

open access: yesNew Journal of Physics, 2018
The evolution of cooperation on interdependent networks is arousing increasing concern based on the fact that more and more complex systems in the real-world have been proven to be organized in the form of multi-layer networks rather than single-layer ...
Zhihu Yang   +4 more
doaj   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Incentivizing free riders improves collective intelligence in social dilemmas. [PDF]

open access: yesProc Natl Acad Sci U S A, 2023
Tchernichovski O   +3 more
europepmc   +1 more source

Controlled Hydrogen Delivery by Single‐Atom Ru Accelerates Electrocatalytic Ammonia Synthesis

open access: yesAngewandte Chemie, EarlyView.
Single Ru atoms anchored on Co3O4 guide reactants along a hydrogen‐rich surface pathway, enabling efficient and selective conversion of NO to NH3. By linking atomic design to catalytic performance, this strategy clarifies the reaction mechanism and offers a versatile platform for engineering oxide catalysts for electrochemical ammonia synthesis ...
Zheng Liu   +15 more
wiley   +2 more sources

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Partner choice and cooperation in social dilemmas can increase resource inequality. [PDF]

open access: yesNat Commun, 2023
Stallen M   +4 more
europepmc   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai   +3 more
wiley   +1 more source

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