Results 111 to 120 of about 26,566 (274)

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

Advanced 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, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Design Matters: How Cell Architecture Shapes the Performance, Cost, and Environmental Impact of Battery Technologies

Advanced Energy Materials, EarlyView.
This study introduces a multidimensional framework integrating electrical performance, cost, and life cycle assessment for 140 real and virtual battery cells. Results show that LFP offers low emissions and costs, sodium‐ion excels in resource efficiency, and pouch housings and higher energy densities effectively reduce environmental burdens.
Nicolas Peter Kaiser, Florian Hölting, Duc Minh Nguyen, Martin Florian Börner, Mark Junker, Moritz Fabian Schütte, Florian Ringbeck, Dirk Uwe Sauer   +7 more
wiley   +1 more source

Thin Reinforced Sulfonated Poly(phenylene sulfone) Membranes for Durable Water Electrolysis: Suppressed Swelling and Enhanced Stability Over 2000 Hours

Advanced Energy Materials, EarlyView.
Hydrocarbon membranes have the potential to significantly enhance the efficiency of water electrolyzers. However, their application is often limited by insufficient stability resulting from excessive swelling. This work presents a strategy to achieve efficient, safe and stable operation of a 24 µm thin hydrocarbon membrane by combining a modified ...
Clara Schare, Giorgi Titvinidze, Christian Piesold, Edgar Cruz Ortiz, Nodar Dumbadze, Michael Schuster, Klaus‐Dieter Kreuer, Carolin Klose, Andreas Münchinger   +8 more
wiley   +1 more source

Assessing the Performance of Biopolymers as Substrates for Flexible Printed Supercapacitors Containing Liquid Electrolytes

Advanced Energy and Sustainability Research, EarlyView.
The fossil‐based substrates of a printed supercapacitor containing liquid electrolytes can only be replaced with biopolymers if they have adequate permeabilities. This article studies three biopolymers based on their processability, printability, and barrier properties to find a more sustainable substrate option.
Iida Kangashaka, Timo Punkari, Aapo Kattainen, Chirag Mevada, Jari Keskinen, Matti Mäntysalo, Essi Sarlin   +6 more
wiley   +1 more source

Cellpose+, a Morphological Analysis Tool for Feature Extraction of Stained Cell Images

Advanced Intelligent Discovery, EarlyView.
We introduce Cellpose plus, a morphological and geometrical analysis tool for feature extraction of stained cell images built over Cellpose, a state‐of‐the‐art cell segmentation framework. We also introduce a dataset of DAPI and FITC stained cells to which our new method is applied.
Israel A. Huaman, Fares D. E. Ghorabe, Sofya S. Chumakova, Alexandra A. Pisarenko, Alexey E. Dudaev, Tatiana G. Volova, Galina A. Ryltseva, Sviatlana A. Ulasevich, Ekaterina I. Shishatskaya, Ekaterina V. Skorb, Pavel S. Zun   +10 more
wiley   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

Advanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +3 more
wiley   +1 more source

Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation

Advanced Intelligent Systems, EarlyView.
This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang, Chenzhou Zhao, Bo Dai, Qi Wang, Dawei Zhang, Songlin Zhuang, Chao Ping Chen   +6 more
wiley   +1 more source

SmartDetectAI: An AI‐Powered Web App for Real‐Time Colorimetric Detection of Heavy Metals in Water

Advanced Intelligent Systems, EarlyView.
SmartDetectAI integrates silver nanoparticle‐based colorimetric sensing with an AI‐powered web app for rapid, on‐site detection of toxic heavy metals in water. By combining aggregation‐driven optical changes with machine learning analysis of red ‐ green ‐ blue values, the platform achieves portable, low‐cost, and accurate monitoring of Hg‐ and Cd‐based
Nishat Tasnim, Mirza M. A. Tunur, Fahad Arefin, Shahad Saroar, Md. Wahadoszamen, Taslim Ur Rashid, Aminul I. Talukder, Md. Nurul Amin, Mahmudur Rahman, Ahsan Habib   +9 more
wiley   +1 more source

A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images

Advanced Intelligent Systems, EarlyView.
CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai, Li Li, Shanqing Zhang, Ting Luo, Chin‐Chen Chang   +4 more
wiley   +1 more source

The use of doubly fed reluctance machines for large pumps and wind turbines [PDF]

, 2003
Betz, Robert, Jovanovic, Milutin, Yu, James   +2 more
core   +1 more source