William Ditto
North Carolina State University
H-index: 54
North America-United States
Top articles of William Ditto
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Solving quantum billiard eigenvalue problems with physics-informed machine learning | AIP Advances | Elliott G Holliday John F Lindner William L Ditto | 2023/8/1 |
Solving two-dimensional quantum eigenvalue problems using physics-informed machine learning | arXiv preprint arXiv:2302.01413 | Elliott G Holliday John F Lindner William L Ditto | 2023/2/2 |
Neuronal diversity can improve machine learning for physics and beyond | Scientific Reports | Anshul Choudhary Anil Radhakrishnan John F Lindner Sudeshna Sinha William L Ditto | 2023/8/26 |
Neural networks embrace learned diversity. | CoRR | Anshul Choudhary Anil Radhakrishnan John F Lindner Sudeshna Sinha William L Ditto | 2022 |
Integrated circuit with a dynamics-based reconfigurable logic block | 2022/11/1 | ||
Reconfigurable Noise-Assisted Logic Gates Exploiting Nonlinear Transformation of Input Signals | Physical Review Applied | K Murali WL Ditto Sudeshna Sinha | 2022/7/25 |
Physics augmented neural networks configured for operating in environments that mix order and chaos | 2022/4/7 | ||
Harnessing tipping points for logic operations | The European Physical Journal Special Topics | K Murali Sudeshna Sinha Vivek Kohar William L Ditto | 2021/10/1 |
Construction of logic gates exploiting resonance phenomena in nonlinear systems | Philosophical Transactions of the Royal Society A | K Murali S Rajasekar Manaoj V Aravind Vivek Kohar WL Ditto | 2021/3/8 |
Negotiating the separatrix with machine learning | Nonlinear Theory and Its Applications, IEICE | Scott T Miller John F Lindner Anshul Choudhary Sudeshna Sinha William L Ditto | 2021 |
Forecasting Hamiltonian dynamics without canonical coordinates | Nonlinear Dynamics | Anshul Choudhary John F Lindner Elliott G Holliday Scott T Miller Sudeshna Sinha | 2021/1 |
Physics-enhanced neural networks learn order and chaos | Physical Review E | Anshul Choudhary John F Lindner Elliott G Holliday Scott T Miller Sudeshna Sinha | 2020/6/18 |
Nonlinear dynamics based machine learning: Utilizing dynamics-based flexibility of nonlinear circuits to implement different functions | Plos one | Behnam Kia Allen Mendes Akshay Parnami Robin George Kenneth Mobley | 2020/3/3 |
The scaling of physics-informed machine learning with data and dimensions | Chaos, Solitons & Fractals: X | Scott T Miller John F Lindner Anshul Choudhary Sudeshna Sinha William L Ditto | 2020/3/1 |
Mastering high-dimensional dynamics with Hamiltonian neural networks | arXiv preprint arXiv:2008.04214 | Scott T Miller John F Lindner Anshul Choudhary Sudeshna Sinha William L Ditto | 2020/7/28 |
Co-Authors
