papers

Publications (31)

physics.flu-dyn2025

Physics-Informed Neural Networks for the Korteweg-de Vries Equation for Internal Solitary Wave Problem: Forward Simulation and Inverse Parameter Estimation

Ming Kang, Hang Li, Qiwen Tan +5

Physics-informed neural networks (PINNs) have emerged as a transformative framework for addressing operator learning and inverse problems involving the Korteweg-de Vries (KdV) equa…

cond-mat.mtrl-sci2026

First-principles Floquet analysis from real-time propagation

Ruipeng Li, Benshu Fan, Umberto De Giovannini +2

We present a real-time Floquet analysis method for extracting quasi-energies and Floquet states directly from propagated wavefunctions. By reconstructing the one-period evolution o…

math.NA2017

Fast computation of spectral densities for generalized eigenvalue problems

Yuanzhe Xi, Ruipeng Li, Yousef Saad

The distribution of the eigenvalues of a Hermitian matrix (or of a Hermitian matrix pencil) reveals important features of the underlying problem, whether a Hamiltonian system in ph…

physics.comp-ph2019

Parallel Approximate Ideal Restriction Multigrid for Solving the S Transport Equations

Joshua Hanophy, Ben S. Southworth, Ruipeng Li +2

The computational kernel in solving the transport equations is the parallel sweep, which corresponds to directly inverting a block lower triangular linear system that arises…

cond-mat.mtrl-sci2017

Confinement Effects on the Crystalline Features of Poly(9,9-dioctylfluorene)

Jaime Martín, Alberto Scaccabarozzi, Aurora Nogales +3

Typical device architectures in polymer-based optoelectronic devices, such as field effect transistors organic light emitting diodes and photovoltaic cells include sub-100 nm semic…

cs.LG2024

LE-PDE++: Mamba for accelerating PDEs Simulations

Aoming Liang, Zhaoyang Mu, Qi liu +3

Partial Differential Equations are foundational in modeling science and natural systems such as fluid dynamics and weather forecasting. The Latent Evolution of PDEs method is desig…

math.NA2023

A Two-level GPU-Accelerated Incomplete LU Preconditioner for General Sparse Linear Systems

Tianshi Xu, Ruipeng Li, Daniel Osei-Kuffuor

This paper presents a parallel preconditioning approach based on incomplete LU (ILU) factorizations in the framework of Domain Decomposition (DD) for general sparse linear systems.…

physics.app-ph2025

Engineering Nonporous Polymer Hybrids with Suppressed Heat Conduction and Enhanced Flame Retardancy via Molecular and Filler Design

Henry Worden, Mihir Chandra, Yijie Zhou +11

This study presents a new strategy for achieving ultralow thermal conductivity in nonporous polymer/organic filler hybrids by suppressing heat capacity through tailored atomic vibr…

cond-mat.quant-gas2023

Impurity-induced pairing in two-dimensional Fermi gases

Ruipeng Li, Jonas von Milczewski, Atac Imamoglu +2

We study induced pairing between two identical fermions mediated by an attractively interacting quantum impurity in two-dimensional systems. Based on a Stochastic Variational Metho…

cond-mat.soft2020

Liquid crystal phases with unusual structures and physical properties formed by acute-angle bent-core molecules

Bing-Xiang Li, Yuriy A. Nastishin, Hao Wang +7

Liquid crystals formed by acute-angle bent-core (ABC) molecules with a 1,7 naphthalene central core show an intriguing phase behavior with the nematic phase accompanied by poorly u…

cond-mat.mtrl-sci2022

Hydration of a side-chain-free n-type semiconducting ladder polymer driven by electrochemical doping

Jiajie Guo, Lucas Q. Flagg, Duyen K. Tran +7

We study the organic electrochemical transistors (OECTs) performance of the ladder polymer, poly(benzimidazobenzophenanthroline) (BBL) in an attempt to better understand how an app…

math.NA2015

Schur Complement based domain decomposition preconditioners with Low-rank corrections

Ruipeng Li, Yuanzhe Xi, Yousef Saad

This paper introduces a robust preconditioner for general sparse symmetric matrices, that is based on low-rank approximations of the Schur complement in a Domain Decomposition (DD)…

cs.DC2026

AlertGuardian: Intelligent Alert Life-Cycle Management for Large-scale Cloud Systems

Guangba Yu, Genting Mai, Rui Wang +4

Alerts are critical for detecting anomalies in large-scale cloud systems, ensuring reliability and user experience. However, current systems generate overwhelming volumes of alerts…

cs.LG2022

Multilevel-in-Layer Training for Deep Neural Network Regression

Colin Ponce, Ruipeng Li, Christina Mao +1

A common challenge in regression is that for many problems, the degrees of freedom required for a high-quality solution also allows for overfitting. Regularization is a class of st…

cs.LG2025

Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows

Shuhao Cao, Francesco Brarda, Ruipeng Li +1

Recent advancements in operator-type neural networks have shown promising results in approximating the solutions of spatiotemporal Partial Differential Equations (PDEs). However, t…

cond-mat.soft2020

Shear-induced polydomain structures of nematic lyotropic chromonic liquid crystal disodium cromoglycate

Hend Baza, Taras Turiv, Bing-Xiang Li +4

Lyotropic chromonic liquid crystals (LCLCs) represent aqueous dispersions of organic disk-like molecules that form cylindrical aggregates. Despite the growing interest in these mat…

physics.comp-ph2021

A non-perturbative approach to computing seismic normal modes in rotating planets

Jia Shi, Ruipeng Li, Yuanzhe Xi +2

A Continuous Galerkin method-based approach is presented to compute the seismic normal modes of rotating planets. Special care is taken to separate out the essential spectrum in th…

math.NA2018

The Eigenvalues Slicing Library (EVSL): Algorithms, Implementation, and Software

Ruipeng Li, Yuanzhe Xi, Lucas Erlandson +1

This paper describes a software package called EVSL (for EigenValues Slicing Library) for solving large sparse real symmetric standard and generalized eigenvalue problems. As its n…

physics.comp-ph2021

The computation of seismic normal modes with rotation as a quadratic eigenvalue problem

Jia Shi, Ruipeng Li, Yuanzhe Xi +2

A new approach is presented to compute the seismic normal modes of a fully heterogeneous, rotating planet. Special care is taken to separate out the essential spectrum in the prese…

math.NA2021

Neumann Series in GMRES and Algebraic Multigrid Smoothers

Stephen Thomas, Arielle Carr, Paul Mullowney +2

Neumann series underlie both Krylov methods and algebraic multigrid smoothers. A low-synch modified Gram-Schmidt (MGS)-GMRES algorithm is described that employs a Neumann series to…

cs.MS2017

On Parallel Solution of Sparse Triangular Linear Systems in CUDA

Ruipeng Li

The acceleration of sparse matrix computations on modern many-core processors, such as the graphics processing units (GPUs), has been recognized and studied over a decade. Signific…

math.NA2015

A Thick-Restart Lanczos algorithm with polynomial filtering for Hermitian eigenvalue problems

Ruipeng Li, Yuanzhe Xi, Eugene Vecharynski +2

Polynomial filtering can provide a highly effective means of computing all eigenvalues of a real symmetric (or complex Hermitian) matrix that are located in a given interval, anywh…

cond-mat.mtrl-sci2025

Accelerating Discovery of Solid-State Thin-Film Metal Dealloying for 3D Nanoarchitecture Materials Design through Laser Thermal Gradient Treatment

Cheng-Chu Chung, Ruipeng Li, Gabriel M. Veith +7

Thin-film solid-state metal dealloying (thin-film SSMD) is a promising method for fabricating nanostructures with controlled morphology and efficiency, offering advantages over con…

physics.comp-ph2020

Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels

Marcus M. Noack, Gregory S. Doerk, Ruipeng Li +4

A majority of experimental disciplines face the challenge of exploring large and high-dimensional parameter spaces in search of new scientific discoveries. Materials science is no…

cs.CL2023

Virtual Scientific Companion for Synchrotron Beamlines: A Prototype

Daniel Potemkin, Carlos Soto, Ruipeng Li +2

The extraordinarily high X-ray flux and specialized instrumentation at synchrotron beamlines have enabled versatile in-situ and high throughput studies that are impossible elsewher…

math.NA2015

Low-rank correction methods for algebraic domain decomposition preconditioners

Ruipeng Li, Yousef Saad

This paper presents a parallel preconditioning method for distributed sparse linear systems, based on an approximate inverse of the original matrix, that adopts a general framework…

cs.AI2025

On Path to Multimodal Historical Reasoning: HistBench and HistAgent

Jiahao Qiu, Fulian Xiao, Yimin Wang +96

Recent advances in large language models (LLMs) have led to remarkable progress across domains, yet their capabilities in the humanities, particularly history, remain underexplored…

cs.MS2022

parGeMSLR: A Parallel Multilevel Schur Complement Low-Rank Preconditioning and Solution Package for General Sparse Matrices

Tianshi Xu, Vassilis Kalantzis, Ruipeng Li +3

This paper discusses parGeMSLR, a C++/MPI software library for the solution of sparse systems of linear algebraic equations via preconditioned Krylov subspace methods in distribute…

math.NA2023

Reducing operator complexity in Algebraic Multigrid with Machine Learning Approaches

Ru Huang, Kai Chang, Huan He +2

We propose a data-driven and machine-learning-based approach to compute non-Galerkin coarse-grid operators in algebraic multigrid (AMG) methods, addressing the well-known issue of…

physics.optics2025

Structured Illumination for Surface-Resolved Grazing-Incidence X-ray Scattering

Doga Gursoy, Xiaogang Yang, Dina Sheyfer +3

We present a computational imaging technique for imaging thin films at grazing-incidence (GI) angles by incorporating structured illumination into existing GI X-ray scattering setu…

math.NA2021

Learning optimal multigrid smoothers via neural networks

Ru Huang, Ruipeng Li, Yuanzhe Xi

Multigrid methods are one of the most efficient techniques for solving linear systems arising from Partial Differential Equations (PDEs) and graph Laplacians from machine learning…