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Engineering

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Preprint Oct 2026

Nonadiabatic polaron dynamics from machine-learned hopping trajectories

The formation and motion of small polarons are ubiquitous in energy materials and influence photoinduced processes. Polaron transport is governed by thermally activated lattice dynamics and rare hopping events, requiring spatial and temporal scales only attainable with machine-learning molecular dynamics, which enables...

Daniela Mangano, Luca Leoni, Zhong-Fei Xu et al. · 0 citations

Preprint Sep 2026

Tuning the Coercive Field in Ferroelectric Hf0.5Zr0.5O2-Al2O3 Heterostructures via Interfacial Charge Dynamics

Interleaving dielectric layers into ferroelectric Hf0.5Zr0.5O2 (HZO) films increases the memory window (MW) beyond what is accounted for by the dielectric constants. Determining the physical mechanisms behind these MW improvements is critical to reaching the full potential of HZO FeNAND. Here, we show that MW improveme...

Marshall B. Frye, Chanyoung Kim, Jeong-Woo Sun et al. · 0 citations

Preprint Aug 2026

Z-Fold Wing Aeroelasticity: Compositional Modeling, 1:2 Double-Hopf Dynamics, and Nonlinear Stiffness Effects

Folding changes the linearized aeroelastic spectrum and can switch which mode becomes unstable first, with consequences for local postflutter interactions. This study formulates a three-component Z-fold wing by assigning every aerodynamic station to a structural component and a material coordinate. The same attachment...

Ge-Lin Chen, Haolin Yang, Chen Song et al. · 0 citations

Preprint Aug 2026

Can Unsupervised Methods Outperform Supervised Deep Learning When Ground Truth Is Sparse? A Case Study of Bronchovascular Bundle Segmentation in Low-Dose CT

Background Lung cancer remains the deadliest cancer worldwide because it is often diagnosed too late. Effective treatment depends on detection at an early screening stage. However, the growing number of patients and the limited number of radiologists lead to prolonged diagnostic waiting times. In very early stage lung...

A. Mrukwa, M. Socha, A. Suwalska et al. · 0 citations

Preprint Aug 2026

Toward Quantum Advantage in Learning Parities with Structured Noise via Lower Bound Optimization of the Condition Number

This work proposes a novel reduction method for Macaulay linear systems and derives a condition number lower bound incorporating a scaling factor, demonstrating that the optimized condition number translates directly into a reduction in circuit width, depth, and gate count.

Yu-Shen Han, Xue-Lian Li, Juntao Gao et al. · 0 citations

Preprint Sep 2026

High-Temperature ferromagnetism from site-selective filling in (Fe,Ni)$_{6-\delta}$GeTe$_2$

The discovery of high-temperature ferromagnetism in the metallic van der Waals (vdW) system Fe$_N$GeTe$_2$ has brought two-dimensional (2D) magnets into technologically relevant temperature scales. Specifically at N = 5, dilution of magnetic moments by nickel substitution counterintuitively achieves a record high Curie...

T. Werner, Jonathan T. Reichanadter, Xiang Chen et al. · 0 citations

#machine learning Preprint Apr 2026

AutoREC: A reinforcement learning platform for equivalent circuit model generation

The platform supports an end-to-end workflow encompassing EIS preprocessing with selectable impedance representations, agent setup and training, ECM generation for new measurements, and visualization-based evaluation and analysis of agent decision-making.

A. Jaberi, Yonatan Kurniawan, Robert Black et al. · 0 citations