Research works

Dynamical mean-field theory for dense spin systems at finite temperature

In recent years, a method for computing spin dynamics at infinite temperature (spinDMFT) was developed. It utilizes the ideas of dynamical mean-field theory for fermions: single-site approximation and a self-consistency condition to approximate time-dependent spin correlations. I...

The HRRR Meteorology, Energy, and Transmission (MET) Toolkit: advancing high-resolution atmospheric data for contiguous US energy applications

Abstract. High-quality, multiyear atmospheric data are foundational for power system planning and grid integration. While the legacy Wind Integration National Dataset (WIND) Toolkit has long served as the industry standard, its historical record ends in 2013, leaving a critical g...

Perspective: Quantum Computing on Magnetic Racetrack

ABSTRACT Magnetic domain walls have long been pursued as carriers of classical information for storage and processing. With the ability to create, control, and probe domain walls at the nanoscale, they are recently recognized as an ideal platform for studying macroscopic quantum...

Flat optics for analog computing: From fundamental mechanisms to advanced meta-processors

As the explosive growth of visual data increasingly strains the latency and energy limits of conventional electronic computing, optical analog computing has re-emerged as a disruptive paradigm for zero-power, speed-of-light information processing. Propelled by the unprecedented w...

Measuring the rate of glitches in interferometric gravitational wave detectors with a hierarchical Bayesian model

Abstract Ground-based gravitational wave detectors are now routinely surveying the dark Universe, finding hundreds of collisions between compact objects. However, terrestrial non-Gaussian noise artefacts, commonly known as glitches, reduce the sensitivity to signals and can overl...

Network meta-analysis and diffusion

We show that the covariance matrix of the treatment effect estimates in a network meta-analysis can be obtained without matrix inversion using a geometric series of diffusion matrices. This property extends to the hat matrix and provides a connection between parameter estimation...

Disentangling intense weathering profile evolution in Western Australia: Insights from REE geochemistry and neodymium stable isotopes

Weathering processes can facilitate rare earth element (REE) enrichment and ore formation; however, exploration models are often not representative of deeply and intensely weathered landscapes (e.g., Australia, India and Brazil). Mobility of REE has traditionally been traced thro...

Emergence of open chemical reaction network thermodynamics within closed systems

We address a fundamental question: under which conditions do the dynamics and thermodynamics of open chemical reaction networks (CRNs), grounded on the notion of idealized chemostats that exchange selected species, emerge from underlying closed CRNs? While open CRNs provide the s...

Bottom-up surveillance: why digital community adulteration reporting belongs in the European drug early warning architecture

Abstract Background Drug checking services have matured into a differentiated ecosystem of implementation models, from centralised laboratory surveillance to point-of-care spectroscopy, festival-based volunteer services, and postal schemes. Yet, despite their demonstrated value,...

Ultraviolet observations of the Earth and Moon during the JUICE Lunar-Earth flyby

Abstract. During the JUICE Lunar-Earth Gravity Assist (LEGA) period in August 2024, the JUICE ultraviolet imaging spectrograph (JUICE-UVS) performed a series of observations of the Earth and Moon, detecting reflected sunlight at the Moon and emissions of atmospheric species inclu...

Estimating heterogeneous treatment effects with survival outcomes via a deep survival learner

Abstract Estimating heterogeneous treatment effects in survival settings is complicated by right censoring as well as the time-varying nature of the estimand. While the conditional average treatment effect (CATE) provides a natural target, most existing approaches focus on a sing...

TrajOnco: a multi-agent framework for temporal reasoning over longitudinal EHR for multi-cancer early detection

Abstract Accurate estimation of cancer risk from longitudinal electronic health records (EHRs) could support earlier detection and improved care, but modeling such complex patient trajectories remains challenging. We present TrajOnco, a training-free, multi-agent large language m...

On the converse of the Shimorin–Peláez–Rättyä–Wick theorem

Abstract We establish a converse of the Shimorin–Peláez–Rättyä–Wick theorem. Indeed, we obtain necessary and sufficient conditions for a Shimorin-type kernel to be the kernel of a radial, logarithmically subharmonic weighted Bergman space.

Magnetohydrodynamic drag on an oscillating sphere in a rotating spherical cavity

Oscillating-sphere drag is a classical fluid-mechanics problem, yet no theory simultaneously accounts for confinement, rotation, viscosity and magnetic fields. We consider a conducting sphere undergoing translational oscillations inside a rotating spherical cavity, modelling conf...

Cosmological inference with halo clustering reconstructed from the redshift-space galaxy distribution

Accurate modeling of small-scale redshift-space clustering is crucial for full shape RSD analyses, where satellite galaxies contribute to 1-halo terms and Finger-of-God distortions. We investigate halo reconstruction based on the cylinder grouping (CG) method of Okumura et al. (2...

Kinship Systems and the Structure of Political Succession: Evidence on the Relative Association of Descent and Residence

Kinship systems are widely recognized as central institutional structures shaping social and political organization, yet it remains unclear which dimensions of kinship are most closely associated with the institutionalized succession to political office, and in particular with th...

Electrically driven chiral emission from plasmonic tunnel junctions

Chirality plays a crucial role in a broad range of processes, including light-matter interactions in physics, chemistry, and biology, while quantum tunneling provides a promising mechanism for light generation at the nanoscale. By integrating tunnel junctions with chiral plasmoni...

Neutrino transport and flavor instabilities in a postmerger disk

Neutron star mergers are multimessenger sources whose dynamics and signals depend critically on neutrinos and their flavor transformations. We investigate whether fast and collisional neutrino flavor instabilities (FFIs and CFIs) arise in a GW170817-like post-merger accretion dis...

Neural network methods for two-dimensional finite-source reflector design

Abstract We address the inverse problem of designing two-dimensional reflectors that transform light from a finite, extended source into a prescribed far-field distribution. We propose a neural-network parameterization of the reflector height and develop two differentiable object...

Gate-tunable superconductor-semiconductor coupling and its impact on zero-energy modes in PbTe-Pb nanowires

This repository contains the raw data and processing codes within the paper "Gate-tunable superconductor-semiconductor coupling and its impact on zero-energy modes in PbTe-Pb nanowires".