Results 121 to 130 of about 152,608 (288)

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

open access: yesAdvanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang   +15 more
wiley   +1 more source

In Situ Elucidations of the Mechanism for Inert Molecular N2O Decomposition at Low Temperature Catalyzed by High‐Index Interfacial Exposed Co3O4

open access: yesAdvanced Science, EarlyView.
This study develops a co‐precipitation followed by hydrothermal synthesis strategy for synthesizing Co3O4 catalyst with multiple high‐index facets. Experiments and density functional theory calculations demonstrate that Co3+ on the (400–400) facet can form a novel active Co3+‐O* motif during the reaction.
Lei Pan   +7 more
wiley   +1 more source

Nomological Deductive Reasoning for Trustworthy, Human-Readable, and Actionable AI Outputs

open access: yesAlgorithms
The lack of transparency in many AI systems continues to hinder their adoption in critical domains such as healthcare, finance, and autonomous systems.
Gedeon Hakizimana   +1 more
doaj   +1 more source

Morphotropic Phase Boundary in Graft Poly(Vinylidene Fluoride‐co‐Tetrafluoroethylene) With High Curie Temperature

open access: yesAdvanced Science, EarlyView.
The first TrFE‐free ferroelectric polymers exhibiting concurrently a morphotropic phase boundary and high Curie temperature are reported through a grafting strategy, which is completely different from previous methods to design MPB by composition and irradiation. This finding offers a cost‐effective solution to decode the long‐standing inverse relation
Zekai Fei   +6 more
wiley   +1 more source

A Framework for Combining Defeasible Argumentation with Labeled Deduction

open access: yes, 2003
In the last years, there has been an increasing demand of a variety of logical systems, prompted mostly by applications of logic in AI and other related areas.
Chesñevar, Carlos Iván   +1 more
core   +1 more source

Nernstian Diagnostics of Imperfect Selectivity in Naphthalene Diimide‐Based Aqueous Organic Redox Flow Battery

open access: yesAdvanced Science, EarlyView.
Non‐ideal redox electrolytes still govern the Nernstian behavior of electrode potentials in aqueous organic redox flow batteries under operation. We utilized this effect to analytically predict two scenarios of battery performance degradation. ABSTRACT Aqueous organic redox flow batteries (AORFBs) enhance the sustainability of battery energy storage ...
Faudillah Alhumairah   +9 more
wiley   +1 more source

High‐Performance Recycling Biobased Photopolymers for 3D Printing

open access: yesAdvanced Science, EarlyView.
By using biobased phenols like eugenol, novel biobased photopolymers containing dissociative phenol‐carbamate bonds are designed for 3D printing. Meanwhile, a “mixed‐monomer assisted recycling” strategy is proposed to recycle the materials. The resulting materials not only achieve high‐performance and excellent chemical recyclability simultaneously ...
Hang Zhou   +12 more
wiley   +1 more source

Mathematics, Reason & Religion

open access: yesPensamiento. Revista de Investigación e Información Filosófica, 2015
This paper will study the relationship between mathematics and religion from the perspective of reason and the role played by reason in human knowledge. Firstly, I will study the relationship between reason, logic and mathematics.
Javier Leach
doaj  

Evaluating Critical Thinking Skills in Medical Students Isfahan University of Medical Sciences Iran [PDF]

open access: yesStrides in Development of Medical Education, 2013
Background & Objective: Medical students should learn some skills for better clinical reasoning decision making and using evidence based medicine One of the most important attributes of a successful clinician is the ability of critical thinking in ...
Shohreh Tashi   +3 more
doaj  

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

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