Results 151 to 160 of about 882,945 (335)

Scalable Wheat Bran‐Algae Composites for Edible Electronics with Spray‐Coated Food‐Grade Conductive Inks

Advanced Electronic Materials, EarlyView.
A fully edible wheat bran–algae substrate is fabricated through scalable mould‐compression and spray‐coating, enabling robust, food‐grade platforms for sustainable electronics. A chitosan barrier improves water resistance and ink compatibility, while activated‐carbon conductive films form uniform electrodes with Ohmic behaviour.
Jaz Johari, Muhua Zhu, Zhiging Wang, Yichen Lang, Georgios Nikiforidis, Mingqing Wang, Mengyan Nie, Shahab Akhavan   +7 more
wiley   +1 more source

Coincidence anomaly detection for unsupervised locating of edge localized modes in the DIII-D tokamak dataset

Machine Learning: Science and Technology
Using supervised learning to train a machine learning model to predict an on-coming edge localized mode (ELM) requires a large number of labeled samples.
Finn H O’Shea, Semin Joung, David R Smith, Daniel Ratner, Ryan Coffee   +4 more
doaj   +1 more source

Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam, Zhuohan Li, Tara P. Mishra, Gerbrand Ceder   +3 more
wiley   +1 more source

Degradation Mechanisms of Rutile‐Type TiO2 Photoanodes during Photoelectrochemical Water Splitting

Advanced Energy Materials, EarlyView.
Combining operando dissolution measurements with microscopy and spectroscopy characterizations, we reveal different degradation mechanisms of rutile‐type TiO2 photoanodes during photoelectrochemical water splitting. In acidic electrolytes, degradation is inhibited once TiO2 reaches saturation.
Yiqun Jiang, Raquel Aymerich‐Armengol, Ilias Efthimiopoulos, Martin Rabe, Andrea M. Mingers, Ningyan Cheng, Benjamin Breitbach, Saswati Santra, Verena Streibel, Ian D. Sharp, Lilian Vogl, Christina Scheu, Siyuan Zhang   +12 more
wiley   +1 more source

Effect of neon seeding on the pedestal structure and stability in the JET-ILW deuterium JET-ITER baseline scenario using both ideal and resistive MHD

Nuclear Fusion
In this work, the effect of neon seeding in the JET-ILW JET-ITER baseline scenario on pedestal structure, global stability and local stability is studied.
H. Nyström, C. Giroud, L. Frassinetti, S. Menmuir, E. Litherland-Smith, J.M. Fontdecaba, D. Kos, Z. Huang, A. Boboc, J. MacDonald, G. Szepesi, JET contributors, EUROfusion Tokamak Exploitation Team   +12 more
doaj   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Experiments on transient melting of tungsten by ELMs in ASDEX Upgrade

, 2018
K. Krieger, M. Balden, J. Coenen, F. Laggner, G. Matthews, D. Nille, V. Rohde, B. Sieglin, L. Giannone, B. Göths, A. Herrmann, P. Marné, R. Pitts, S. Potzel, P. Vondracek, ASDEX-Upgrade team, E. Team   +16 more
semanticscholar   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

Reservoir Computing‐Based Glucose Sensing With an Enzymatic Reaction Network

Angewandte Chemie, EarlyView.
Glucose oxidase (GOx) catalyzes the conversion of glucose into gluconic acid, lowering the solution pH. The extent of pH change depends on the glucose input and directly modulates the activity of the enzyme reservoir. Glucose levels can be sensed by monitoring the changes in the enzymatic reservoir output, that is, the generation of peptide fragments ...
Souvik Ghosh, Anna C. Knox, Bin Li, Wilhelm T. S. Huck   +3 more
wiley   +2 more sources

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source