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MATLAB-Based Layerwise Self-Adaptive Physics-Informed Neural Network in Applications to Multidimensional Coupled Burgers' Equations with High Reynolds Numbers

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MATLAB-Based Layerwise Self-Adaptive Physics-Informed Neural Network in Applications to Multidimensional Coupled Burgers' Equations with High Reynolds Numbers

·9 min read·Harish P. Bhatt, Xi Chen, Jingsai Liang

This paper addresses the challenge of accurately simulating multidimensional coupled Burgers' equations (MCBEs) at high Reynolds numbers, where sharp shock fronts and steep gradients develop over time

researchphysics-informed-neural-networksadaptive-loss-weightingburgers-equationhigh-reynolds-number

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Raw-Curve Quantum Fingerprints — A Mahalanobis Authentication Framework with Drift Early Warning and Adversarial Detection

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Raw-Curve Quantum Fingerprints — A Mahalanobis Authentication Framework with Drift Early Warning and Adversarial Detection

·8 min read·Geyuyan Ma, Xiangdong Meng, Yangyang Fei et al.

This paper addresses the problem of authenticating physical quantum hardware in cloud-based quantum computing platforms, where users cannot verify which exact processor executes their workload

researchquantum-hardware-authenticationhardware-fingerprintingmahalanobis-distanceadversarial-detection

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Shaping the horizontal branch — The role of envelope mass in the evolution of stripped core-helium-burning stars

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Shaping the horizontal branch — The role of envelope mass in the evolution of stripped core-helium-burning stars

·9 min read·Eduardo Arancibia-Rojas, Mónica Zorotovic, Maja Vučković et al.

This paper investigates how the residual hydrogen-envelope mass (M_env) and the timing of envelope stripping affect the evolution and observed properties of stripped core-helium-burning stars, part…

researchstellar-evolutionhorizontal-branchcore-helium-burningmass-loss

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