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A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems
Research article (Journal of Computational Physics, 2022) · cited 11× · AI/ML
A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems
Summary
A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems is a scholarly article[1].
Key Facts
A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-minimalistic-approach-to-physics-informed-machine-learning-using-neighbour-lists-as-physics-optimized-convolutions-for
MLA“A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-minimalistic-approach-to-physics-informed-machine-learning-using-neighbour-lists-as-physics-optimized-convolutions-for.
BibTeX@misc{4ortxyz_a-minimalistic-approach-to-physics-informed-machine-learning-using-neighbour-lists-as-physics-optimized-convolutions-for_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems}}, year = {2026}, url = {https://4ort.xyz/entity/a-minimalistic-approach-to-physics-informed-machine-learning-using-neighbour-lists-as-physics-optimized-convolutions-for}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems — https://4ort.xyz/entity/a-minimalistic-approach-to-physics-informed-machine-learning-using-neighbour-lists-as-physics-optimized-convolutions-for (retrieved 2026-05-24)
