46 citations · 104 across the 4 of their papers we have counts for
5 papers
Extrapolation and explainability in hadron mass predictions with machine learning
Esra Yuksel, Huseyin Bahtiyar, Derya Soydaner
In this work, we study the predictive performance of four machine learning (ML) models for hadron masses, with particular attention to extrapolation beyond the conventional hadrons…
Nuclear mass predictions using machine learning models
Esra Yüksel, Derya Soydaner, Hüseyin Bahtiyar
The exploration of nuclear mass or binding energy, a fundamental property of atomic nuclei, remains at the forefront of nuclear physics research due to limitations in experimental…
Predicting the Masses of Exotic Hadrons with Data Augmentation Using Multilayer Perceptron
Huseyin Bahtiyar
Recently, there have been significant developments in neural networks, which led to the frequent use of neural networks in the physics literature. This work is focused on predictin…
Application of multilayer perceptron with data augmentation in nuclear physics
Hüseyin Bahtiyar, Derya Soydaner, Esra Yüksel
Neural networks have become popular in many fields of science since they serve as promising, reliable and powerful tools. In this work, we study the effect of data augmentation on…
Nuclear binding energy predictions using neural networks: Application of the multilayer perceptron
Esra Yüksel, Derya Soydaner, Hüseyin Bahtiyar
In recent years, artificial neural networks and their applications for large data sets have became a crucial part of scientific research. In this work, we implement the Multilayer…