Home ›
Entities
› academia
› Approximate symbolic solutions to differential equations using a novel combination of Monte Carlo tree search and physics-informed neural networks approach
Approximate symbolic solutions to differential equations using a novel combination of Monte Carlo tree search and physics-informed neural networks approach
Research article (Engineering With Computers, 2025) · cited 11× · AI/ML
Approximate symbolic solutions to differential equations using a novel combination of Monte Carlo tree search and physics-informed neural networks approach
Summary
Approximate symbolic solutions to differential equations using a novel combination of Monte Carlo tree search and physics-informed neural networks approach is a scholarly article[1].
Key Facts
Approximate symbolic solutions to differential equations using a novel combination of Monte Carlo tree search and physics-informed neural networks approach's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Approximate symbolic solutions to differential equations using a novel combination of Monte Carlo tree search and physics-informed neural networks approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/approximate-symbolic-solutions-to-differential-equations-using-a-novel-combination-of-monte-carlo-tree-search-and-physic
MLA“Approximate symbolic solutions to differential equations using a novel combination of Monte Carlo tree search and physics-informed neural networks approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/approximate-symbolic-solutions-to-differential-equations-using-a-novel-combination-of-monte-carlo-tree-search-and-physic.
BibTeX@misc{4ortxyz_approximate-symbolic-solutions-to-differential-equations-using-a-novel-combination-of-monte-carlo-tree-search-and-physic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Approximate symbolic solutions to differential equations using a novel combination of Monte Carlo tree search and physics-informed neural networks approach}}, year = {2026}, url = {https://4ort.xyz/entity/approximate-symbolic-solutions-to-differential-equations-using-a-novel-combination-of-monte-carlo-tree-search-and-physic}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Approximate symbolic solutions to differential equations using a novel combination of Monte Carlo tree search and physics-informed neural networks approach — https://4ort.xyz/entity/approximate-symbolic-solutions-to-differential-equations-using-a-novel-combination-of-monte-carlo-tree-search-and-physic (retrieved 2026-05-24)