RESEARCH PAPER · Energetic Materials Frontiers · 2024
Quantitatively determining melting properties for energetic compounds via knowledge-infused molecular graphs and interpretable deep learning
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Prediction of Melting Points of Chemicals with a Data Augmentation-Based Neural Network Approach
ACS Omega · 2025-06-03
Lea E. Austermeier, Karsten Voigt, Alexander Böhme, Nadin Ulrich
Read original paper ↗ ·Robustly interpretable melting-point prediction for structurally diverse nitro-containing compounds
Energetic Materials Frontiers · 2026-02-02
Xiao-yu Feng, Fang Chen, Siwei Song, Ruihui Wang, Yi Wang, Qinghua Zhang
Read original paper ↗ ·Structural Engineering of Furazanopyrazine Scaffolds with Flexible Biogenic Amines and Nitramine Moieties for Fused Energetic Melt-Castable Materials
Organic Letters · 2026-05-22
Wei Du, Weihua Zhu, Jinshan Li, Qing Ma
Read original paper ↗ ·Active Learning for Generalizable Detonation Performance Prediction of Energetic Materials
Chemistry of Materials · 2026-06-30
R. Seaton Ullberg, Megan Christina Davis, Jeremy N. Schroeder, Andrew Salij, Marc J. Cawkwell, Christopher J. Snyder, Wilton J. M. Kort-Kamp, Ivana Matanović
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