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Mendeley readers
| Chapter title |
Physics-Informed Learning Machines for Partial Differential Equations: Gaussian Processes Versus Neural Networks
|
|---|---|
| Chapter number | 14 |
| Book title |
Emerging Frontiers in Nonlinear Science
|
| Published by |
Springer, Cham, January 2020
|
| DOI | 10.1007/978-3-030-44992-6_14 |
| Book ISBNs |
978-3-03-044991-9, 978-3-03-044992-6
|
| Authors |
Guofei Pang, George Em Karniadakis, Pang, Guofei, Karniadakis, George Em |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 26% |
| Student > Ph. D. Student | 10 | 20% |
| Student > Doctoral Student | 3 | 6% |
| Student > Master | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 19 | 38% |
| Environmental Science | 3 | 6% |
| Computer Science | 3 | 6% |
| Physics and Astronomy | 3 | 6% |
| Mathematics | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 14 | 28% |