2026

Sabo, F., Du, F., Dinç, N., & Todri-Sanial, A. (2026). Harnessing Dynamics of Van Der Pol Oscillators for Phase Computing with Oscillatory Neural Networks. npj Unconventional Computing (in
review). doi: 10.21203/rs.3.rs-8907993/v1

Lahkar, S., Bragaglia, V., Bagheri, B., Falcone, D. F., Galetta, M., Sousa, M., & Todri-Sanial, A. (2026). Decoupling Electric Field and Temperature-Driven Atomistic Forming Mechanisms in TaO x/HfO2-Based ReRAMs Using Reactive Molecular Dynamics Simulations. ACS Applied Materials & Interfaces, 18(5), 8369-8382. doi: 10.1021/acsami.5c16414

Choi, W., Stecconi, T., Falcone, D. F., Galetta, M., Clerico, V., Zaccaria, E., … & Offrein, B. J. (2026). Update Disturbance‐Resilient Analog ReRAM Crossbar Arrays for In‐Memory Deep Learning Accelerators. Advanced Science, 13(4), e04578. doi: 10.1002/advs.202504578

Galetta, M., Falcone, D. F., Clerico, V., Choi, W., Menzel, S., La Porta, A., … & Bragaglia, V. (2026). Study of Resistive Switching Dynamics and Memory States Equilibria in Analog Filamentary Conductive‐Metal‐Oxide/HfOx ReRAM via Compact Modeling. Advanced Electronic Materials, 12(7), e00373. doi:

2025

Kaniselvan, M., Portner, K., Falcone, D. F., Bragaglia, V., Clarysse, J., Begon-Lours, L., … & Luisier, M. (2025). Electroforming Kinetics in HfO x/Ti RRAM: Mechanisms behind Compositional and Thermal Engineering. ACS nano, 19(30), 27455-27466. doi: 10.1021/acsnano.5c05850

Falcone, D. F., Clerico, V., Choi, W., Stecconi, T., Horst, F., Bégon‐Lours, L., … & Bragaglia, V. (2025). All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices. Advanced Functional Materials, 2504688. doi: 10.1002/adfm.202504688

Murali, P. K., & Kaboli, M. (2025). ArtReg: Visuo-Tactile based Pose Tracking and Manipulation of Unseen Articulated Objects. arXiv preprint arXiv:2511.06378. doi: 10.48550/arXiv.2511.06378

Rudner-Halász, T., Porod, W., & Csaba, G. (2025). Oscillator-Based Processing Unit for Formant Recognition. Information, 16(7), 611. doi: 10.3390/info16070611

Dinç, N., Sabo, F., & Todri‐Sanial, A. (2025). Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks. Advanced Intelligent Discovery, e202500152. doi: 10.1002/aidi.202500152

Tsormpatzoglou, G., Sabo, F., & Todri-Sanial, A. (2025). Thermodynamics-Inspired Computing with Oscillatory Neural Networks for Inverse Matrix Computation. arXiv preprint arXiv:2507.22544. doi: 10.48550/arXiv.2507.22544

Delacour, C., Haverkort, B., Sabo, F., Azemard, N., & Todri-Sanial, A. (2025). Lagrange oscillatory neural networks for constraint satisfaction and optimization. Neuromorphic Computing and Engineering, 5(4), 044004. doi: 10.1088/2634-4386/ae0eab

Honet, A., & Todri-Sanial, A. (2025). Conductive metal oxide and hafnium oxide bilayer resistive random-access memory: An ab initio study. Journal of Applied Physics, 137(8). doi: 10.1063/5.0246959, OA link

Dutta, A., Burdet, E., & Kaboli, M. (2025). Predictive visuo-tactile interactive perception framework for object properties inference. IEEE Transactions on Robotics. doi: 10.1109/tro.2025.3531816, OA link

Murali, P. K., Porr, B., & Kaboli, M. (2025). Shared visuo-tactile interactive perception for robust object pose estimation. The International Journal of Robotics Research, 44(7), 1186-1216. doi: 10.1177/02783649241301443, OA link

2024

Todri-Sanial, A., Delacour, C., Abernot, M., & Sabo, F. (2024). Computing with oscillators from theoretical underpinnings to applications and demonstrators. Npj unconventional computing, 1(1), 14. doi: 10.1038/s44335-024-00015-z, OA link

Finocchio, G., Incorvia, J. A. C., Friedman, J. S., Yang, Q., Giordano, A., Grollier, J., … & Bandyopadhyay, S. (2024). Roadmap for unconventional computing with nanotechnology. Nano Futures, 8(1), 012001. doi: 10.1088/2399-1984/ad299a, OA link

A. Dutta, E. Burdet, M. Kaboli, ViTract: Robust Object Shape Perception via Active Visuo-Tactile Interaction, IEEE Robotics and Automation Letters vol. 9, no. 12, 2024. doi: 10.1109/tro.2025.3531816, OA link

Maher, O., Bernini, R., Harnack, N., Gotsmann, B., Sousa, M., Bragaglia, V., & Karg, S. (2024). Highly reproducible and CMOS-compatible VO2-based oscillators for brain-inspired computing. Scientific Reports, 14(1), 11600. doi: 10.1038/s41598-024-61294-x, OA link

Stecconi, T., Bragaglia, V., Rasch, M. J., Carta, F., Horst, F., Falcone, D. F., Ten Kate, S. C., Gong, N., Ando, T., Olziersky, A., & Offrein, B. (2024). Analog resistive switching devices for training deep neural networks with the novel tiki-taka algorithm. Nano Letters, 24(3), 866-872.. doi: 10.1021/acs.nanolett.3c03697, OA link

Maher, O., Jiménez, M., Delacour, C., Harnack, N., Núñez, J., Avedillo, M. J., Linares-Barranco, B., Todri-Sanial, A., Indiveri, G., & Karg, S. (2024). A CMOS-compatible oscillation-based VO2 Ising machine solver. Nature Communications, 15(1), 3334. doi: 10.1038/s41467-024-47642-5, OA link

Falcone, D. F., Menzel, S., Stecconi, T., Galetta, M., La Porta, A., Offrein, B. J., & Bragaglia, V. (2024). Analytical modelling of the transport in analog filamentary conductive-metal-oxide/HfO x ReRAM devices. Nanoscale Horizons, 9(5), 775-784. DOI: 10.1039/D4NH00072B, OA link

Rudner, T., Porod, W., & Csaba, G. (2024). Design of oscillatory neural networks by machine learning. Frontiers in Neuroscience, 18, 1307525. doi: 10.3389/fnins.2024.1307525, OA link

2025

W. Choi, T. van Bodegraven, J. Verest, O. Maher, D.F. Falcone, A. La Porta, D. Jubin, B.J. Offrein, S. Karg, V. Bragaglia, A. Todri-Sanial, “Hardware Implementation of Ring Oscillator Networks Coupled by BEOL Integrated ReRAM for Associative Memory Tasks”, 2025 IEEE International Memory Workshop (IMW), Monterey, CA, USA. doi: 10.1109/IMW61990.2025.11026987

Todri-Sanial, A., Verest, J. N. G. W., Sabo, F., Kim, H., Haverkort, B. F., van Bodegraven, T. C. V., … & Bragaglia, V. (2025, December). Physical Computing with Coupled Oscillators–Current Progress and Future Directions. In 2025 IEEE International Electron Devices Meeting (IEDM) (pp. 1-4). IEEE. doi: 10.1109/IEDM50572.2025.11353846

2024

E. Leonard, M. Luhulima, F. Sabo, A. Todri-Sanial, “Multimodal Processing at the Edge” 2024 Smart Systems Integration (SSI), Hamburg, Germany, OA link   

F. Sabo, A. Todri-Sanial. “Benchmarking Max-Cut on Oscillatory Ising Machines with Kuramoto and van der Pol Oscillators” 2024 International Workshop on Ising Machines (IISM), Messina, Italy. OA link  

M.S. Ram, D. Lombardo, E. Zaccaria, D.F. Falcone, T. Stecconi, A. La Porta, M. Sousa, S. Reidt, A. Ferraris, C.B. Zota, V. Bragaglia, & B.J. Offrein, “Cryogenic Analog 1T-ReRAM with Enhanced Dynamic Range and Suppressed Noise for Cold Neural Networks”, 2024 IEEE International Electron Devices Meeting (IEDM), San Francisco, CA, USA. doi: 10.1109/IEDM50854.2024.10873313

F. Sabo, A. Todri-Sanial. “ClassONN: Classification with Oscillatory Neural Networks using the Kuramoto Model,2024 Design Automation and Test in Europe (DATE), Valencia, Spain, doi:10.23919/DATE58400.2024.10546829, OA link

Galetta, D. F. Falcone, S. Menzel, A. La Porta, T. Stecconi, W. Choi, B. J Offrein, V. Bragaglia, Compact Model of Conductive-Metal-Oxide/HfOx Analog Filamentary ReRAM Devices,2024 IEEE European Solid-State Electronics Research Conference (ESSERC), Bruges, Belgium, 2024, pp. 749-752, doi: 10.1109/ESSERC62670.2024.10719489  

D. Lombardo, S. R. Mamidala,  T. Stecconi, W. Choi, A. La Porta, D.F. Falcone, B. J Offrein, V. Bragaglia, Read Noise Analysis in Analog Conductive-Metal-Oxide/HfO? ReRAM Devices, 2024 Device Research Conference (DRC), College Park, MD, USA, 2024, pp. 1-2, doi: 10.1109/DRC61706.2024.10643760  

O. Maher, F. Horst, F. Sabo, D. Fancheng, V. Bragaglia, S. Karg, M. Sousa, A. Sanial, and B. Offrein, Implementation of FitzHugh-Nagumo Neurons using Nanoscale VO2 Devices, 2024 IEEE European Solid-State Electronics Research Conference (ESSERC), Bruges, Belgium, 2024, pp. 729-732, doi: 10.1109/ESSERC62670.2024.10719575

A.Dutta, E. Burdet, M. Kaboli, Visuo-Tactile based Predictive Cross Modal Perception for Object Exploration in Robotics, IEEE International Symposium on Robotic and Sensors Environments, doi: 10.1109/ROSE62198.2024.10590901, OA link

C. Fumelli, A.Dutta, M. Kaboli, Advancements in Tactile Hand Gesture Recognition for Enhanced Human-Machine Interaction, IEEE International Symposium on Robotic and Sensors Environments, doi: 10.1109/ROSE62198.2024.10590799, OA link

2023

Nick Flaherty, Neural networks for low power analog edge AI, Press Release in Technology News. Link:
https://www.eenewseurope.com/en/oscillating-neural-networks-for-low-power-analog-edge-ai/

A. Todri-Sanial, Building oscillatory Neural Networks: AI Applications and Physical Design Challenges, Invited talk, ISPD International Symposium on Physical Design, New York, NY, USA, March 2023, doi: 10.1145/3569052.3578913, OA link

M. Gentner, P. K. Murali, M. Kaboli, GMCR: Graph-based maximum consensus Estimation for Point
Cloud Registration, Paper IEEE Inernational Conference on Robotics and Automation (ICRA), Londen,
May 2023. Link to paper: https://arxiv.org/pdf/2303.04032.pdf. Note: Awarded with
ICRA Outstanding Sensors and Perception Paper: https://www.icra2023.org/awards-finalists.

E. Luhulima, M. Abernot, F. Corradi, A. Todri-Sanial, Digital Implementation of On-Chip Hebbian
Learning for Oscillatory Neural Network, Poster and paper ISLPED 2023 ACM/IEEE International
Symposium on Low Power Electronics and Design in Vienna, Aug 7-8 2023. Link to paper: https:
//phastrac.eu/wp-content/uploads/2023/08/Paper-ISLPED-2023.pdf, OA link

Prajval Kumar Murali, Bernd Porr and Mohsen Kaboli, Touch if it’s transparent! ACTOR: Active
Tactile-based Category-Level Transparent Object Reconstruction, Conference paper and talk at 2023
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, Michigan,
USA, Oct 1-5, 2023. Link to paper: https://arxiv.org/pdf/2307.16254.pdf

Anirvan Dutta, Etienne Burdet and Mohsen Kaboli, Push to know! – Visuo-Tactile based Active Object
Parameter Inference with Dual Differentiable Filtering, Conference paper and talk at 2023 IEEE/RSJ
International Conference on Intelligent Robots and Systems (IROS), Detroit, Michigan, USA, Oct 1-5,
2023. Link to paper: https://arxiv.org/pdf/2308.01001.pdf