# Computational Physics and Python Applications

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/computational-physics-and-python-applications/

## Facts

| Field | Value |
| --- | --- |
| Citations | 678,611 |
| Description | This cluster of papers covers a wide range of topics related to scientific computing and data analysis using Python. It includes statistical modeling, machine learning, visualization, geospatial mapping, geomorphology, oceanography, and HF radio networking. The papers showcase the diverse applications and tools available for scientific research and data analysis in various fields. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T13650 |
| Works | 415,407 |

## Topic papers all

- [Vortex Rings](https://scholariq.org/papers/vortex-rings/)
- [Neural operators for accelerating scientific simulations and design](https://scholariq.org/papers/neural-operators-for-accelerating-scientific-simulations-and-design/)
- [The Gravitational Universe](https://scholariq.org/papers/the-gravitational-universe/)
- [Test of lepton flavor universality and search for lepton flavor violation in B → Kℓℓ decays](https://scholariq.org/papers/test-of-lepton-flavor-universality-and-search-for-lepton-flavor-violation-in-b/)
- [Identification of coherent groups and PMU placement for inter-area monitoring based on graph theory](https://scholariq.org/papers/identification-of-coherent-groups-and-pmu-placement-for-inter-area-monitoring/)
- [Scalable Transformer for PDE Surrogate Modeling](https://scholariq.org/papers/scalable-transformer-for-pde-surrogate-modeling/)
- [A Hybrid Quantum Machine Learning for the Prediction of Protein Folding](https://scholariq.org/papers/a-hybrid-quantum-machine-learning-for-the-prediction-of-protein-folding/)

## Topic researchers

Showing 12 of 20.

- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Robert Tibshirani](https://scholariq.org/researchers/robert-tibshirani/)
- [Trevor Hastie](https://scholariq.org/researchers/trevor-hastie/)
- [G. Mitselmakher](https://scholariq.org/researchers/g-mitselmakher/)
- [A. Cerri](https://scholariq.org/researchers/a-cerri/)
- [Sw. Banerjee](https://scholariq.org/researchers/sw-banerjee/)
- [D. Blöch](https://scholariq.org/researchers/d-bloch/)
- [Christopher D. Manning](https://scholariq.org/researchers/christopher-d-manning/)
- [Alan S. Go](https://scholariq.org/researchers/alan-s-go/)
- [Oriol Vinyals](https://scholariq.org/researchers/oriol-vinyals/)
- [R. Kowalewski](https://scholariq.org/researchers/r-kowalewski/)
- [Edward Witten](https://scholariq.org/researchers/edward-witten/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.