M. G. Quarta, I. Sgura, M. Frittelli, R. Barreira, and B. Bozzini - Shape Classification of Battery Cycling Profiles via K-Means Clustering based on a Sobolev distance, submitted May 2025

M. G. Quarta, I. Sgura, E. Emanuele, J. Strada, R. Barreira, B. Bozzini - A deep-learning approach to parameter fitting for a lithium metal battery cycling model, validated with experimental cell cycling time series - Scientific Reports volume 15, Article number: 4620 (2025). DOI: https://doi.org/10.1038/s41598-025-87830-x

M. Frittelli, B. Bozzini, I. Sgura - Turing patterns in a 3D morpho-chemical bulk-surface reaction-diffusion system for battery modeling, MinE (Mathematics in Engineering) (2024), Volume 6, Issue 2: 363-393. https://doi.org/10.3934/mine.2024015. 

M. Frittelli, A. Madzvamuse, I. Sgura - VEMcomp: a Virtual Elements MATLAB package for bulk-surface PDEs in 2D and 3D, Numerical Algorithms 2025, 99(3), pp. 1393–1428 (2025). https://doi.org/10.1007/s11075-024-01919-4 

A. Alla, A. Monti, I. Sgura - Piecewise DMD for oscillatory and Turing spatio-temporal dynamics, Comput. Mathematics with Applications (CAMWA) 160(2024) 108–124. https://doi.org/10.1016/j.camwa.2024.02.022. 

F. Lionetto, N. Arianpouya, B. Bozzini, A. Maffezzoli, M. Nematollahi, C. Mele - Advances in zinc-ion structural batteries, Journal of Energy Storage, (2024) 84, 110849. https://doi: 10.1016/j.est.2024.110849.

D. Conte, J. Martin-Vaquero, G. Pagano, B. Paternoster - Stability of TASE-RK methods with inexact Jacobian, SIAM J. Sci. Comput., 46(6) (2024), A3638–A3657, doi.org/10.1137/24M1631869.

D. Conte, L. Moradi, B. Paternoster, H. Podhaisky - Collocation methods for nonlinear Volterra integral equations with oscillatory kernel, Appl. Numer. Math., 203  (2024), 1-15, https://doi.org/10.1016/j.apnum.2024.05.002.

D. Conte, S. González-Pinto, D. Hernández-Abreu, G. Pagano - On Approximate Matrix Factorization and TASE W-Methods for the Time Integration of Parabolic Partial Differential Equations, J. Sci. Comput., 100 (2) (2024), 34, https://doi.org/10.1007/s10915-024-02579-1. 

 L. Aceto, D. Conte, G. Pagano - Modified TASE Runge-Kutta methods for integrating stiff differential equations, SIAM J. Sci. Comput, accepted. Info: submitted 6 June 2024, revised 22 October 2024, accepted 21 January 2025. 

G. Pagano - Stabilized explicit peer methods with parallelism across the stages for stiff problems, Appl. Numer. Math., 207 (2025), 156–173, https://doi.org/10.1016/j.apnum.2024.08.023. 

C. Valentino, G. Pagano, D. Conte, B. Paternoster, F. Colace, and M. Casillo - Step-by-step time discrete Physics Informed Neural Networks with application to a sustainability PDE model, Math. Comput. Simul., 230, 541-558 (2025), doi.org/10.1016/j.matcom.2024.10.043. 

C. Valentino, G. Pagano, D. Conte, B. Paternoster, F. Colace - Physics Informed Neural Networks for a Lithium-ion batteries model: a case of study, Advances in Computational Science and Engineering (ACSE), 2(4), 354–367 (2024), doi.org/10.3934/acse.2024018.

D. Conte, G. Pagano, T. Roldan - High Order Nonstandard Finite-Difference Methods, submitted on 12 December 2024.

A. Cardone, G. Frasca-Caccia, B. Paternoster - Non-standard schemes for time-fractional reaction-advection-diffusion problems, Journal of Computational and Applied Mathematics, 471, 116757 (2026), https://www.sciencedirect.com/science/article/pii/S0377042725002717.

D. Conte, J.I. Montijano, G. Pagano, B. Paternoster, L. Randez -General Runge – Kutta TASE Methods for Reaction–Diffusion Problems, submitted 28 March 2025.

G. Frasca-Caccia, D. Conte, B. Paternoster -Fast Solution of a Phase-Field Model of Pitting Corrosion, submitted on 31 March 2025.

D. Conte, G. Pagano, Two Families of W-Methods: Analysis and Application on Battery Models, Lecture Notes in Computer Science LNCS, 15887, 133-149 (2026), https://doi.org/10.1007/978-3-031-97589-9_10

R. D’Ambrosio, F.V. Difonzo - Numerical conservation issues for the stochastic Korteweg-de Vries equation with multiplicative noise, submitted 2025

H. Biscevic, R. D’Ambrosio, Time integration of dissipative stochastic PDEs, Appl. Numer. Math. 222, 1-16 (2026), https://doi.org/10.1016/j.apnum.2025.11.005.

C. Scalone, N. Guglielmi, Convergence of a Low-Rank Strang Splitting for Stiff Matrix Differential Equations. Submitted 2025.

C. Scalone, L. Einkemmer, J. Kusch, R. McClarren,  A Multi-fidelity Adaptive Dynamical Low-Rank Based Optimization Algorithm for Fission Criticality Problems, Journal of Scientific Computing, 104 (27), 2025, https://doi.org/10.1007/s10915-025-02907-z.

B. Bozzini, D. Conte, R. D’Ambrosio, V. Protasov, I. Sgura, Turing pattern formation in a stochastic reaction-diffusion model for electrodeposition. Submitted 2025.