Results 181 to 190 of about 14,775 (232)
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Neural investigation of default effects on decision-making under uncertainty. [PDF]
Sci RepYu J, Liu X, Yu J, Wang Y.
europepmc +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Advanced Intelligent Discovery, EarlyView.Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Can classification strategies improve automated cervical vertebral maturation staging? A comparative study. [PDF]
Sci RepLee SY, Ryu J, Kim YH, Lee YS, Jung SK.
europepmc +1 more source
GPS Galileo BDS3 LEO uncalibrated phase delays estimation and tight combination precise point positioning with ambiguity resolution. [PDF]
Sci RepFang J +5 more
europepmc +1 more source
ST-GICM: A Spatiotemporal Graph Learning Framework with Intrinsic Curiosity for Robust Autonomous Exploration. [PDF]
Sensors (Basel)He L, Liu W, Li W.
europepmc +1 more source