Results 181 to 190 of about 38,536 (261)

Semi-Supervised Graph Attention Network for Screw Pump Fault Diagnosis: Revealing the Dynamic Coupling of Multi-Source Information. [PDF]

Entropy (Basel)
Wen W, Qin J, Chang Q.
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Srnc: semi-supervised learning for robust novel cell-type identification in single cell RNA sequencing data. [PDF]

BMC Bioinformatics
Nguyen TV, Do VH, Nguyen VL.
europepmc   +1 more source

Upscaling Sodium‐Ion Battery Cells: From Aqueous Processing to Performance Assessment of Hard Carbon|Prussian White Pouch Cells

Advanced Energy Materials, EarlyView.
This study investigates the feasibility of scaling up Prussian White (PW)‐based cathode manufacturing at a pilot scale. Through careful PW dehydration combined with optimized aqueous processing, we report the stepwise development of industrially relevant 1 Ah pouch cells and evaluate their performance under various conditions.
Faduma M. Maddar, Katerina Gonos, Martand Singh, Jacob Compton, Daniel Atkinson, Matthew J. Capener, Mark Copley, Ivana Hasa   +7 more
wiley   +1 more source

Investigating the Impact of Semi-Supervised Learning Methods to Improve the Quality of Diagnosis of Retinal Diseases from OCT Images. [PDF]

Diagnostics (Basel)
Alizadeh A, Alenezi A, Khakestari N, Amizadeh Y, Jodeiri A.   +4 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Self-distillation double student network for semi-supervised medical image segmentation. [PDF]

Front Physiol
Liu H, Li X, Jin J, Zhang S, Fu Y, Fang J, Wang G.   +6 more
europepmc   +1 more source

Electrocatalytic Urea Waste Valorization via Water Electrolysis: Transition‐Metal Phosphides for Sustainable Hydrogen Production

Advanced Energy Materials, EarlyView.
This article provides a comprehensive analysis of transition metal phosphides (TMP) as electrocatalysts for urea‐assisted water electrolysis, highlighting the critical role of phosphorus engineering in modulating electronic structure, optimizing active sites, and enhancing catalytic durability.
Shivalingayya Gaddimath, Varsha Kashanner, Soumya Kulkarni, Vishal Sorathiya, Anitha Bamani, Rajveer Singh Rajaura, Mahaveer Kurkuri, Shambhulinga Aralekallu, Yogendra Kumar Mishra   +8 more
wiley   +1 more source

Deep learning enabled decision support systems in epilepsy surgery: a scoping review. [PDF]

Npj Health Syst
Yu K, Zhou S, Song M, Zhan Z, Hou Y, Song Y, Zeng M, Yin B, Liu F, Pati S, Sha Z, Lin M, Zhang R.   +12 more
europepmc   +1 more source

Synergistic Optimization of Cathode Composite Architecture and Stack Pressure for High‐Performance All‐Solid‐State Chloride‐Ion Batteries

Advanced Energy Materials, EarlyView.
Composite cathode engineering and stack pressure co‐optimization enable a high‐performance all‐solid‐state chloride‐ion battery based on a VOCl/CsSn₀.₉In₀.₀₆₇Cl3/In architecture, delivering 169 mAh g−1 with 500‐cycle durability. Electrode‐resolved impedance tracking via distribution of relaxation times revealed progressive interphase and charge ...
Soutam Panja, Anantha Padmanabhan Gopikuttan, Manuel Mundszinger, Amr Radwan, Hong Chen, Johannes Biskupek, Oliver Clemens, Maximilian Fichtner   +7 more
wiley   +1 more source