Prediction of Melting Points of Chemicals with a Data Augmentation-Based Neural Network Approach

Prediction of Melting Points of Chemicals with a Data Augmentation-Based Neural Network Approach

Saved in:

Bibliographic Details
Main Authors:	Lea E. Austermeier, Karsten Voigt, Alexander Böhme, Nadin Ulrich
Format:	Article
Language:	English
Published:	American Chemical Society 2025-06-01
Series:	ACS Omega
Online Access:	https://doi.org/10.1021/acsomega.5c00205
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Prediction of the water solubility by a graph convolutional-based neural network on a highly curated dataset
by: Nadin Ulrich, et al.
Published: (2025-04-01)

Rapid and Accurate Prediction of the Melting Point for Imidazolium-Based Ionic Liquids by Artificial Neural Network
by: Xinyu Liu, et al.
Published: (2024-11-01)

Transfer learning-enhanced physics informed neural network for accurate melt pool prediction in laser melting
by: Qingyun Zhu, et al.
Published: (2025-01-01)

Physics-Based Data Augmentation Enables Accurate Machine Learning Prediction of Melt Pool Geometry
by: Siqi Liu, et al.
Published: (2025-08-01)

Augmenting Fatigue Datasets for Improved Multiaxial Fatigue Strength Prediction with Neural Networks
by: Napon Opasanon, et al.
Published: (2025-05-01)

VAE-Assisted Data Augmentation for Improved Molecular Prediction with Graph Neural Networks (GNNs) in Low-Data Regimes
by: Gabriela C. Theis Marchan, et al.
Published: (2025-07-01)

Introduction: Melting Point
by: Sérgio Henrique Faria
Published: (2025-07-01)

Scalable training of neural network potentials for complex interfaces through data augmentation
by: In Won Yeu, et al.
Published: (2025-05-01)

Data Augmentation and Lightweight Convolutional Neural Networks in Classification of Thoracic Diseases
by: Ana-Maria HAMZ, et al.
Published: (2025-05-01)

System Development for Liquid Chemicals Point Injection Based on Convolutional Neural Network Models
by: V. S. Semenyuk, et al.
Published: (2021-06-01)

Spatio-Temporal Data Augmentation Method for Network Traffic Prediction
by: Sung Oh, et al.
Published: (2025-01-01)

Enhancing Dongba Pictograph Recognition Using Convolutional Neural Networks and Data Augmentation Techniques
by: Shihui Li, et al.
Published: (2025-04-01)

Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network
by: Xingye HUANG
Published: (2024-11-01)

Prediction of Potato Rot Level by Using Electronic Nose Based on Data Augmentation and Channel Attention Conditional Convolutional Neural Networks
by: Jiayu Mai, et al.
Published: (2024-12-01)

A data augmentation approach to enhance breast cancer detection using generative adversarial and artificial neural networks
by: Alawee Wissam H., et al.
Published: (2024-11-01)

Fixed point geometry in chaotic neural networks
by: Jakob Stubenrauch, et al.
Published: (2025-05-01)

Svalbard winter warming is reaching melting point
by: James A. Bradley, et al.
Published: (2025-07-01)

Optimizing Rice Plant Disease Classification Using Data Augmentation with GANs on Convolutional Neural Networks
by: Tinuk Agustin, et al.
Published: (2025-02-01)

Enhanced convolutional neural network methodology for solid waste classification utilizing data augmentation techniques
by: Daniel Hogan Itam, et al.
Published: (2024-12-01)

SiMBA-Augmented Physics-Informed Neural Networks for Industrial Remaining Useful Life Prediction
by: Min Li, et al.
Published: (2025-05-01)

Vision-Based Fall Risk Assessment Through Attention Augmented Neural Encoding and Data Augmentation
by: Chunhua Pan, et al.
Published: (2025-01-01)

Neural network approach to ensuring visual coherence in augmented reality flight simulators
by: A. L. Gorbunov, et al.
Published: (2024-08-01)

Hierarchical RUL Prediction for Turbofan Engines Based on Health Stage Classification and Change Point-Guided Data Augmentation
by: Kiymet Ensarioglu
Published: (2025-01-01)

Electrohysterogram Data Augmentation Using Generative Adversarial Network for Pregnancy Outcome Prediction
by: Muhammad Omar Cheema, et al.
Published: (2025-01-01)

A Neural Network-integrated Elastoplastic Constitutive Model using Haigh–Westergaard Coordinates and Data Augmentation
by: Myung-Sung Kim, et al.
Published: (2025-09-01)

Collaborative AI Dysarthric Speech Recognition System With Data Augmentation Using Generative Adversarial Neural Network
by: Yibo He, et al.
Published: (2025-01-01)

Baby Cry Classification Using Structure-Tuned Artificial Neural Networks with Data Augmentation and MFCC Features
by: Tayyip Ozcan, et al.
Published: (2025-03-01)

MEFET-Based CAM/TCAM for Memory-Augmented Neural Networks
by: Sai Sanjeet, et al.
Published: (2024-01-01)

Modeling the relationship between the structure and melting point of pyrazolone derivatives: topological approach
by: M. I. Skvortsova, et al.
Published: (2009-12-01)

Hybrid Chemical and Data-Driven Model for Stiff Chemical Kinetics Using a Physics-Informed Neural Network
by: Matthew Frankel, et al.
Published: (2024-09-01)

Transient Stability Prediction of Power Systems Based on Deep Residual Network and Data Augmentation
by: Yanzhen ZHOU, et al.
Published: (2020-01-01)

Noise-agnostic quantum error mitigation with data augmented neural models
by: Manwen Liao, et al.
Published: (2025-01-01)

THERMODYNAMIC MODELING OF CHEMICAL REACTIONS OF STRONTIUM CARBONATE IN ALUMINIUM MELT
by: N. V. Sletova, et al.
Published: (2012-09-01)

Fingerprint recognition using convolution neural network with inversion and augmented techniques
by: Reena Garg, et al.
Published: (2024-12-01)

A deep-learning approach to predict reproductive toxicity of chemicals using communicative message passing neural network
by: Owen He, et al.
Published: (2025-07-01)

Analysis of the PointNet neural network architecture
by: L. A. Shchenyavskaya, et al.
Published: (2024-01-01)

Melt Density Monitoring of Extruder Extrusion Process Based on Multi-source Data Fusion and Convolutional Long Short-term Memory Neural Network
by: Binbin ZHANG, et al.
Published: (2024-11-01)

A Neural Operator Unifying Graph Neural Networks and Point Transformers
by: Junseung Ryu, et al.
Published: (2025-01-01)

Polynomial-SHAP as a SMOTE alternative in conglomerate neural networks for realistic data augmentation in cardiovascular and breast cancer diagnosis
by: Chukwuebuka Joseph Ejiyi, et al.
Published: (2025-04-01)

A dynamic and adaptive class-balanced data augmentation approach for 3D LiDAR point clouds.
by: Bo Liu, et al.
Published: (2025-01-01)