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Christopher C. Pain

Researcher / author (OpenAlex)
Person academia

Facts

2 properties
Instance of
human[2]
Affiliation
NIHR Imperial Biomedical Research Centre, Imperial College Londonas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
ORCID iD
0000-0003-4194-2590
OpenAlex ID
A5037926058, A5123643018, A5125436632as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1

Report an error or request removal Lineage (PROV-JSON)

📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 35
Adaptive Mesh Optimization for Simulation of Immiscible Viscous Fingering, A discrete element solution method embedded within a Neural Network, A goal-based angular adaptivity method for thermal radiation modelling in non grey media, A Haar wavelet method for angularly discretising the Boltzmann transport equation, A long short-term memory neural network-based error estimator for three-dimensional dynamically adaptive mesh generation, An advanced hybrid deep adversarial autoencoder for parameterized nonlinear fluid flow modelling, An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion, An efficient goal‐based reduced order model approach for targeted adaptive observations +27 more
← Authored by 35
Adaptive Mesh Optimization for Simulation of Immiscible Viscous Fingering, A discrete element solution method embedded within a Neural Network, A goal-based angular adaptivity method for thermal radiation modelling in non grey media, A Haar wavelet method for angularly discretising the Boltzmann transport equation, A long short-term memory neural network-based error estimator for three-dimensional dynamically adaptive mesh generation, An advanced hybrid deep adversarial autoencoder for parameterized nonlinear fluid flow modelling, An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion, An efficient goal‐based reduced order model approach for targeted adaptive observations +27 more
Affiliated with 3
Imperial College London, Florida State University, Health Data Research UK
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Summary

Christopher C. Pain is a human[1].

Related Entities

Imperial College London

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Christopher C. Pain. Retrieved October 25, 2026, from https://4ort.xyz/entity/christopher-c-pain
MLA “Christopher C. Pain.” 4ort.xyz Knowledge Graph, 4ort.xyz, 25 Oct. 2026, https://4ort.xyz/entity/christopher-c-pain.
BibTeX @misc{4ortxyz_christopher-c-pain_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Christopher C. Pain}}, year = {2026}, url = {https://4ort.xyz/entity/christopher-c-pain}, note = {Accessed: 2026-10-25}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Christopher C. Pain — https://4ort.xyz/entity/christopher-c-pain (retrieved 2026-10-25)

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