Research works

A Digital Twin–Based Simulation Framework for Safe Curve Speed Estimation Using Unity

Horizontal curves are often associated with roadway crashes because of speed misjudgment and loss of control. With the growing adoption of connected and autonomous vehicles (CAVs), the accurate estimation of safe speed at curves is becoming increasingly important. The widely used...

Higher-Order Boundary Conditions for Atomistic Dislocation Simulations

Abstract. We present a higher-order boundary condition for atomistic simulations of dislocations that address the slow convergence of standard supercell methods. The method is based on a multipole expansion of the equilibrium displacement, combining continuum predictor solutions...

Learning low-dimensional embeddings for black-box optimization

When gradient-based methods are impractical, black-box optimization (BBO) provides a valuable alternative. However, BBO often struggles with high-dimensional problems and limited trial budgets. In this work, we propose a novel approach based on meta-learning to pre-compute a redu...

Two Fefferman-Type Constructions Involving Almost Grassmann Structures and Path Geometries

Abstract We introduce a Fefferman-type construction that associates an almost Grassmann structure of type $$(2,n+1)$$ ( 2 , n + 1 ) to every $$(n+1)$$ ( n + 1 ) -dimensional path geometry. We prove that the construction is normal and provide two equivalent characterizing conditio...

Sampled-Based Guided Quantum Walk: Non-variational quantum algorithm for combinatorial optimization

We introduce SamBa-GQW, a novel quantum algorithm for solving binary combinatorial optimization problems of arbitrary degree with no use of any classical optimizer. The algorithm is based on a continuous-time quantum walk on the solution space represented as a graph. The walker e...

Enhancing the advection module performance in the EPICC-Model V1.6.0 via GPU-HADVPPM4HIP V1.0 coupling and GPU-optimized strategies

Abstract. The rapid development of Graphics Processing Units (GPUs) has established new computational paradigms for enhancing air quality modeling efficiency. In this study, the heterogeneous-compute interface for portability (HIP) was implemented to parallel computing of the pie...

Subseasonal forecast improvements from sea ice concentration data assimilation in the Antarctic

Abstract. This study evaluates the impact of sea ice concentration (SIC) data assimilation (DA) on subseasonal forecasts of Antarctic sea ice by comparing reforecast experiment suites initialized from two sets of initial conditions (ICs): one with SIC DA and the other without. Th...

Introducing a new normalized cryospheric index (NCI) to categorize sub-watersheds on arid environments

Abstract. This study examines sub-watersheds in the arid northern region of Chile (26°41’–28°24’S), situated within the broader Copiapo watershed. The primary water source for this watershed originates from cryospheric reservoirs. The region exhibits pronounced physiographic and...

Global Long-wavelength Body-wave Catalog (GLoBoCat) for Lower Mantle P and S Wave Travel Times

Long period seismic body wave travel times are a foundational source of information regarding the Earth's interior. Manual methods provide travel time catalogs with high internal consistency, but have not kept pace with the rapid growth in teleseismic waveforms. Here we use atten...

The impact of architecture and cost function on dissipative quantum neural networks

Abstract Combining machine learning and quantum computation is a potential path towards powerful applications on quantum devices. Among such approaches, quantum neural networks have emerged as a promising framework. In this work, we present a novel architecture for dissipative qu...

Completeness and additive property for submeasures

Given an extended real-valued submeasure $ν$ defined on a field of subsets $Σ$ of a given set, we provide necessary and sufficient conditions for which the pseudometric $d_ν$ defined by $d_ν(A,B):=\min\{1,ν(A\bigtriangleup B)\}$ for all $A,B \in Σ$ is complete. As an application,...

Symplectic Neural Flows for Modeling and Discovery

Abstract. Hamilton’s equations are fundamental for modeling complex physical systems, where preserving key properties such as energy and momentum is crucial for reliable long-term simulations. Geometric integrators are widely used for this purpose, but neural network-based method...

Detecting quantum properties in physical systems using proxy witnesses

Abstract In practice, it is quite challenging to detect a quantum property, a microscopic property, in a system. In our work, we construct general proxy witnesses of quantum properties to detect their presence in quantum systems and we do so for quantum systems which may possibly...

Stellar blend image classification using computationally efficient Gaussian processes

Stellar blends, where two or more stars appear blended in an image, pose a significant visualization challenge in astronomy. Traditionally, distinguishing these blends from single stars has been costly and resource-intensive, involving sophisticated equipment and extensive expert...

Two Erdős–Hajnal-type theorems for forbidden order-size pairs

The celebrated Erdős-Hajnal conjecture says that any graph without a fixed induced subgraph $H$ contains a very large homogeneous set. A direct analog of this conjecture is not true for hypergraphs. In this paper we present two natural variants of this problem which do hold for h...

The Riemannian Convex Bundle Method

We introduce the convex bundle method to solve convex, non-smooth optimization problems on Riemannian manifolds of bounded sectional curvature. Each step of our method is based on a model that involves the convex hull of previously collected subgradients, parallelly transported i...

Network members can hide from group centrality measures

Group centrality measures are a generalization of standard centrality, designed to quantify the importance of not just a single node (as is the case with standard measures) but rather that of a group of nodes. Some nodes may have an incentive to evade such measures, i.e., to hide...

Clusters in randomly-coloured spatial networks

Abstract The behaviour and functioning of a variety of complex physical and biological systems depend on the spatial organisation of their constituent units, and the presence and formation of clusters of functionally similar or related individuals. Here we study the properties of...

Compactness of the bloom sparse operators and applications

Abstract We establish the characterization of compactness for the sparse operator (associated with symbol in weighted VMO space) in the two weight setting on the spaces of homogeneous type in the sense of Coifman and Weiss. As an application, we obtain the compactness characteriz...

Crop Insurance Premium Subsidies Influence on Family Farms

The U.S. current taxpayer-subsidized crop insurance program represents a culmination of a series of legislative acts, beginning in 1980 with the Federal Crop Insurance Act, followed by the Federal Insurance Reform Act in 1994, and the Agricultural Risk Protection Act (ARPA) in 20...