IEEE

Self-Organizing Hybrid Fuzzy Polynomial Neural Network Classifier Driven Through Dynamically Adaptive Structure and Compound Regularization Technique

Abstract: This study presents an innovative approach to the design of a hybrid fuzzy classifier, with a focus on exploring the classification capability of a conventional fuzzy polynomial neural ...
C&EN

Interpretable Graph Neural Network for Predicting Transient Electronic Structures of Semiconductor Quantum Dots

Department of Materials Science and Engineering, Indian Institute of Technology, Delhi-110016, India Department of Chemistry, Indian Institute of Technology, Delhi-110016, India ...
IEEE

Predicting Flash Point of Ester-based Insulating Oils and Unveiling Molecular Structure Effects via Graph Neural Networks

Abstract: Flash point (FP) critically determines the fire safety of transformer oils, yet ester-based oils, the sustainable alternative to mineral oils, face a critical trade-off between FP ...
C&EN

Efficient Molecular Crystal Structure Prediction and Stability Assessment with AIMNet2 Neural Network Potentials

Department of Materials Science and Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States Department of Chemistry, Carnegie Mellon University, 5000 ...