From Correlation to Causality: A New Physics for Artificial Intelligence
Slade, Trent
openalex +2 more sources
Cause-and-effect relationships in a nonlinear model of Bitcoin's energy use and price volatility effect. [PDF]
Zournatzidou G.
europepmc +1 more source
BLIPS-PA: a qualitative-physics-based method for fault causality and probabilistic analysis of novel designs [PDF]
Ali Mansoor, Xiaoxu Diao, Carol Smidts
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High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang +6 more
wiley +1 more source
The constrained disorder principle emphasizes the importance of variability boundaries for systems to function effectively. [PDF]
Ilan Y.
europepmc +1 more source
A Statistical Mechanics Model to Decode Tissue Crosstalk During Graft Formation
We introduce a statistical mechanics framework to decode the genomic crosstalk governing plant grafting. By integrating evolutionary game theory with transcriptomics, we reconstruct idopNetworks (informative, dynamic, omnidirectional, and personalized networks) that map scion–rootstock interactions.
Ang Dong +4 more
wiley +1 more source
Turbulence drive and causal generation of vorticity in edge fusion plasmas. [PDF]
Dif-Pradalier G +11 more
europepmc +1 more source
Visual Commonsense Reasoning: Functionality, Physics, Causality, and Utility
Yixin Zhu
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