Research works

Spin and orbital mixing of edge states in a quantum Hall system proximitized by a superconductor

We investigate the formation and transport properties of chiral Andreev edge states in a two-dimensional quantum Hall system proximitized by a superconductor. By numerically modeling the system using the Bogoliubov-de Gennes equations, we analyze the non-local conductance and tra...

A Preconditioned Augmented Lagrangian Method for Solving Semidefinite Programming Problems

In this work, we propose a preconditioned augmented Lagrangian method (ALM) for solving semidefinite programming (SDP) problems. The preconditioner is implemented via a weighted penalty function in the ALM subproblem, with the weight matrix derived from the projection operator on...

Weighted Views Representation with Multi-Head Coulomb Attention for Molecular Property Prediction

Abstract We extend the weighted-views molecular featurization framework (d’Avezac, Botts, Mohlenkamp, and Zunger, 2011) by enriching it with single-atom properties and Coulomb pair information. We use these enriched views within a machine-learning architecture incorporating share...

Building a Physically Interpretable Compressed Chemical Space via Grid-Based Optimization

Abstract In recent years, deep generative models have been increasingly adopted for molecular optimization and design. In many such models, molecules are encoded into latent spaces that provide compact representations of their features. However, these latent spaces remain difficu...

Local Droplet Etching‐Assisted Quantum Dot Epitaxy for Telecom C‐Band Quantum Light Emitters

ABSTRACT Significant progress in quantum light sources for quantum communication applications requires reproducible and symmetric quantum emitters acting as single‐photon sources capable of generating entangled photons on demand at specific telecom wavelengths. Here, we propose t...

Significant heat-transfer enhancement via polymer additives in two-dimensional sheared convection

Heat dissipation is critical in modern engineering and polymer additives offer a potential route to improve fluid-based cooling. We study elasticity-enhanced heat transfer in two-dimensional, thermally stratified Poiseuille flow. At Reynolds numbers italic Re less than or equival...

Quantum gravitational contrast in creating Schrödinger cat state

In this paper, we illustrate how a Schrödinger cat state created via a matter-wave interferometer can be viewed as the simplest quantum-gravity setup where we can treat both matter and gravity on an equal footing at a perturbative level. Here we treat Einstein's theory of general...

A Unified Microscopic Picture of Cation and Anion Migration in MAPbI3

Abstract Passivating defects and restricting defect mobilities in halide perovskites to increase device lifetimes has become a main field of research. Modeling structure and mobility of point defects is an essential contribution to this endeavor. We employ molecular dynamics, bas...

Double twist knots and lattice paths

In this work, we explore the combinatorics arising from the quiver generating series of the unreduced $r$-colored HOMFLY-PT polynomial $\bar{P}_r(a,q)$ for some twist-knots and double twist knots. By taking the limit $a = 0$ and $q = 1$, we indeed obtain lattice path models for t...

Supporting climate change adaptation worldwide: a web application for exploring uncertain future changes in water resources

Abstract. While adaptation to changing water resources due to climate change is necessary everywhere, information about their potential future changes has not been easily accessible to most climate change adaptation processes. The free interactive web application Climate Change I...

Clickable Turn-On Nanoparticles for Target-Specific Intracellular Activation

Abstract Precise visualization of nanoparticles (NPs) at the subcellular level is crucial for targeted drug delivery. However, NPs functionalized with permanently fluorescent probes are challenging to detect when only a small fraction reaches the target compartment, as weak fluor...

Public technical disclosure of AI implementation in finance: Python-framed evidence from 253 NYSE-listed financial companies

Abstract Artificial intelligence (AI) claims in public markets increasingly raise disclosure, comparability, and investor-protection questions, yet evidence on how listed financial firms publicly describe implementation remains fragmented and difficult to compare. This study exam...

The haunted Umwelt: a biosemiotic and hauntological account of immune semiotic corruption in field cancerization

Abstract Field cancerization, the process wherein prior insults corrupt the semiotic landscape through which immune cells detect and respond to “the other”, persists even after the precipitating conditions resolve and the tissue histologically appears normal. This exemplifies a b...

Effect of mass loss and convective overshooting on the precollapse structure, composition, and neutrino emission of red supergiants

Prior to core collapse, the neutrino emission from red supergiants (RSGs) is so large that a nearby ($\lesssim$ 1 kpc) RSG will become visible in current and near-future neutrino detectors. The rate of emission and the spectra of the pre-supernova (pre-SN) neutrinos from RSGs are...

SIMULATION-DRIVEN METHOD FOR WATER COVERAGE MONITORING FROM MULTI-SENSOR SATELLITE IMAGERY

Monitoring water coverage in intertidal zones is challenging due to the lack of satellite sensors that simultaneously provide both high spatial and high temporal resolution. Landsat offers detailed spatial information but is limited by its 16-day revisit cycle, whereas Himawari-8...

PERFORMANCE ANALYSIS OF MACHINE LEARNING AND INDOBERT IN CLASSIFYING SENTIMENTS ON INDONESIA'S FREE NUTRITIOUS MEAL

Natural Language Processing (NLP) is a branch of artificial intelligence that is widely used to analyze whether a sentence contains positive, negative, or neutral sentiment, particularly in the context of expressing opinions in the online environment. This study compares several...

Nudged elastic membranes for constructing reduced two-dimensional potential energy surfaces

Minimum-energy paths and intrinsic reaction coordinates are central tools for analyzing chemical reactions. As one-dimensional objects, however, individual paths do not provide a continuous representation of the surrounding potential energy surface (PES), including the arrangemen...

A neural operator framework for data-driven discovery of stability and receptivity in physical systems

Understanding how complex systems respond to perturbations, such as whether they will remain stable or what their most sensitive patterns are, is a fundamental challenge across science and engineering. Traditional stability and receptivity (resolvent) analyses are powerful but re...

Identifying hidden cognate effects in L2 lexical retrieval tasks: A tutorial for stimulus design

Psycholinguistic research involving multilingual participants often examines the extent to which processing of one language is related to processing of another, especially during semantic priming. When choosing crosslinguistic task items in second language (L2) vocabulary researc...

Cloud‐Native and Distributed Systems for Efficient and Scalable Large Language Models—A Research Agenda

ABSTRACT Objective Large Language Models (LLMs) are rapidly transforming artificial intelligence applications, but their unprecedented computational, memory, communication, and data‐management demands pose significant challenges to existing computing infrastructures. Traditional...