Results 141 to 150 of about 2,494 (292)

Processing‐Centric Innovative Strategies for Protonic Ceramic Electrochemical Cells

open access: yesAdvanced Energy Materials, EarlyView.
This review reveals how processing‐centric fabrication strategies govern architecture, microstructure, and interfaces in protonic ceramic electrochemical cells (PCECs), establishing a framework that translates materials innovation into scalable PCEC technologies.
Dongyeon Kim   +5 more
wiley   +1 more source

(Unlimited ebook) Designology: How to Find Your PlaceType and Align Your Life With Design (Cozy Home, Feng Shui and Residential Interior Design and Home Decoration ... Magnolia Table, and The Nesting Place) FOR ANY DEVICE

open access: green, 2020
(Unlimited ebook) Designology: How to Find Your PlaceType and Align Your Life With Design (Cozy Home, Feng Shui and Residential Interior Design and Home Decoration ... Magnolia Table, and The Nesting Place) FOR ANY DEVICE
openalex   +2 more sources

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

open access: yesAdvanced Energy Materials, EarlyView.
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou   +34 more
wiley   +1 more source

AI Tool for Room Decoration: Harnessing Diffusion Model for Interior Design

open access: gold
Khanh Linh Vu   +5 more
openalex   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

open access: yesAdvanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia   +3 more
wiley   +1 more source

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