The Unified Tensor Theoretical Framework: A Differentiable Dynamical Systems Perspective on Artificial Intelligence

Authors

D. Liu (ORCID: https://orcid.org/0009-0006-4018-9292)
shifa liu (ORCID: https://orcid.org/0009-0003-6570-2812)

Institutions

University of North Carolina at Chapel Hill (US)
Peking University (CN)

Publication Details

Published: 2025-09-15
DOI: https://doi.org/10.22541/au.175796390.06064125/v1
Primary Topic: Computational Physics and Python Applications
Type: article
Field-Weighted Citation Impact: 0.00

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article

The Unified Tensor Theoretical Framework: A Differentiable Dynamical Systems Perspective on Artificial Intelligence

D. Liu, shifa liu

Sep 15, 2025

Computational Physics and Python Applications

article

The Unified Tensor Theoretical Framework: A Differentiable Dynamical Systems Perspective on Artificial Intelligence

D. Liu, shifa liu

September 15, 2025article en

Abstract

No abstract available for this paper.

University of North Carolina at Chapel Hill (US), Peking University (CN)

Openalex Percentile: Top 87%

Computational Physics and Python Applications

DOI Open Access PDF OpenAlex

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The Unified Tensor Theoretical Framework: A Differentiable Dynamical Systems Perspective on Artificial Intelligence — D. Liu, shifa liu · (2025) | TGRS Research Map | TGRS