William Ditto

Publications

• Neuronal diversity can improve machine learning for physics and beyond , SCIENTIFIC REPORTS (2023)
• Solving quantum billiard eigenvalue problems with physics-informed machine learning , AIP ADVANCES (2023)
• Reconfigurable Noise-Assisted Logic Gates Exploiting Nonlinear Transformation of Input Signals , PHYSICAL REVIEW APPLIED (2022)
• Construction of logic gates exploiting resonance phenomena in nonlinear systems , PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2021)
• Forecasting Hamiltonian dynamics without canonical coordinates , NONLINEAR DYNAMICS (2021)
• Harnessing tipping points for logic operations , EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS (2021)
• Negotiating the separatrix with machine learning , IEICE NONLINEAR THEORY AND ITS APPLICATIONS (2021)
• Closing editorial: Forecasting of epidemic spreading: lessons learned from the current covid-19 pandemic , CHAOS SOLITONS & FRACTALS (2020)
• Nonlinear dynamics based machine learning: Utilizing dynamics-based flexibility of nonlinear circuits to implement different functions , PLoS ONE (2020)
• Physics-enhanced neural networks learn order and chaos , Physical Review E (2020)