Hereditary Effective Atom Theory for Large-Scale Atomic Structure Prediction

Posted by klaurent Cornell

Kavli Affiliate: David Muller | Summary:Predicting the atomic structure of large systems requires simultaneous exploration of atomic positions, species, and, generally, the number of atoms. The combinatorial growth of possible arrangements can make this search difficult even for standard genetic algorithms. We introduce Hereditary Effective Atom Theory (HEAT), which integrates Effective Atom Theory into a […]


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Boot-AVT: Asymptotically Anytime-Valid Testing with Degenerate U-Statistics via Bootstrap

Posted by klaurent Peking

Kavli Affiliate: Feng Long| Summary: Many nonparametric tests are based on $U$-statistics that are degenerate under the null hypothesis. We develop Boot-AVT, a bootstrap procedure for asymptotically anytime-valid testing with these statistics. Using Brownian scaling and time inversion for the limiting Gaussian chaos process, we show that logarithmically penalized maxima over observed and future sample […]


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Superconducting weak links at substrate steps in bilayer nickelate films

Posted by klaurent Cornell

Kavli Affiliate: David Muller | Summary:Ambient-pressure superconductivity above 40 K has been realized in bilayer nickelate thin films on SrLaAlO$_4$ (001), yet resistive measurements often exhibit incomplete zero-resistance states and/or two-step superconducting transitions of unresolved origin. We show that these features arise from superconducting weak links at substrate step-terrace structures. A direct correlation between the […]


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Real-Time Disturbance-Aware Koopman Model Predictive Control for Quadrotors in Spatially Varying Winds

Posted by klaurent Caltech

Kavli Affiliate: Morteza Gharib| Summary:Reliable quadrotor flight in disturbed environments requires predictive models that remain accurate as unmodeled aerodynamic effects change during deployment. We introduce a disturbance-aware Koopman Control Family (DA-KCF) framework that preserves an offline-identified nominal model while learning only a disturbance-induced correction online. A reference-dependent KCF is first learned from simulation data and […]


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