Original ResearchPublished 27 August 2026A novel three-parameter Gompertz-Lomax Distribution with a physics-informed survival network: statistical theory, hazard shape characterization, and real-world applicationsFurqan Ahmed P. · Sujatha V.Frontiers in Big Datadoi 10.3389/fdata.2026.1897881
Original ResearchPublished 20 July 2026Hybrid deep unrolling and graph neural networks for super-resolution direction-of-arrival estimation in physics-informed antenna arraysSai Vinay ThattukollaFrontiers in Antennas and Propagationdoi 10.3389/fanpr.2026.1829394
Original ResearchPublished 8 July 2026Predicting tensile properties of sub-sized nuclear materials using data augmentation strategies on imbalanced and sparse datasetsAltynay Smagulova · Aleksandar Vakanski · John W. Merickel · Isshu Lee · Charith Purushotham · Yalei Tang · Alberto E. Cerpa · Fei Xu · Rongjie SongFrontiers in Manufacturing Technologydoi 10.3389/fmtec.2026.1811951
Original ResearchPublished 16 June 2026Physics informed neural network prediction of heat transfer mechanisms in manufactured sand for thermal energy storage systemsS. Ananth · P. Selvakumar · Amirdha Sher GillFrontiers in Energy Efficiencydoi 10.3389/fenef.2026.1845713
Thermal EngineeringPublished 15 August 2025Phy-ChemNODE: an end-to-end physics-constrained autoencoder-NeuralODE framework for learning stiff chemical kinetics of hydrocarbon fuelsTadbhagya Kumar · Anuj Kumar · Pinaki PalFrontiers in Thermal Engineeringdoi 10.3389/fther.2025.1594443
Complex SystemsPublished 6 January 2025A priori physical information to aid generalization capabilities of neural networks for hydraulic modelingGianmarco Guglielmo · Andrea Montessori · Jean-Michel Tucny · Michele La Rocca · Pietro PrestininziFrontiers in Complex Systemsdoi 10.3389/fcpxs.2024.1508091
