A generative explainable model for antimicrobial peptide prediction using bidirectional temporal convolutional neural network. [PDF]
Ali F +5 more
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
A study on a screening and diagnostic model for adenoid faces based on an improved convolutional neural network. [PDF]
Wang Y, Gao D, He J, He J, Wu J.
europepmc +1 more source
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 +19 more
wiley +1 more source
Parameter-efficient convolutional neural network for drug treatment outcome studies of pediatric epilepsy. [PDF]
Zhao C +10 more
europepmc +1 more source
This comprehensive review highlights surface acidity engineering as a versatile strategy to modulate surface charge and boost catalytic performance in functional oxides. It explores recent advances in practical implementation, structural reconstruction approaches, and mechanistic origins from diverse complementary viewpoints.
Gyu Rac Lee, Harry L. Tuller
wiley +1 more source
An adaptive fusion of composite attention convolutional neural network for polyp image segmentation. [PDF]
Jin B, Zhang Y, Nie Q, Qi L, Qian W.
europepmc +1 more source
A lightweight convolutional neural network for real-time monitoring of smart mango orchard systems. [PDF]
Ahad MT +5 more
europepmc +1 more source
Risk identification model for power enterprises based on convolutional neural network. [PDF]
Pan W, Liu F.
europepmc +1 more source
PhageCGRNet: Integrating Chaos Game Representation of Genomes with Convolutional Neural Network for accurate phage host classification prediction. [PDF]
Wang T, Yu ZG, Li J, Lin X.
europepmc +1 more source

