A5031230037- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics
- Numerical methods in engineering
- Hydraulic Fracturing and Reservoir Analysis
- Groundwater flow and contamination studies
- Numerical methods for differential equations
- Rock Mechanics and Modeling
- Advanced Mathematical Modeling in Engineering
- Access Control and Trust
- Meteorological Phenomena and Simulations
- Fluid Dynamics and Turbulent Flows
- Robotics and Sensor-Based Localization
- Microbial Fuel Cells and Bioremediation
- 3D Surveying and Cultural Heritage
- Cryptography and Data Security
- Semantic Web and Ontologies
- Biomedical Text Mining and Ontologies
- 3D Shape Modeling and Analysis
- Geotechnical Engineering and Underground Structures
- Security and Verification in Computing
- Natural Language Processing Techniques
- RNA modifications and cancer
- Human auditory perception and evaluation
- Statistical and numerical algorithms
- Optimization and Variational Analysis
Brown University
2021-2024
University of Notre Dame
2024
Shanghai Jiao Tong University
2022-2023
John Brown University
2023
Michigan Technological University
2016-2021
Megvii (China)
2019-2020
Shandong University
2018
Beihang University
2017
Fudan University
2014
Michigan State University
2010
Metastasis accounts for the vast majority of cancer deaths. To minimize metastasis-associated mortality, it is crucially important to evaluate metastatic potential (M.P.), that is, defined as a tendency primary tumor colonize distant organ. Dysregulated pH in solid tumors, especially acidification extracellular (pHe ) promotes dormant metastasis by driving protease-mediated digestion, disrupting cell-matrix interaction and increasing migration cells. Therefore, imaging intratumoral acidosis...
.The weighted essentially nonoscillatory (WENO) schemes are popular high-order numerical methods for hyperbolic conservation laws. When dealing with systems, WENO usually used in cooperation the local characteristic decomposition, as componentwise reconstruction/interpolation procedure often produces oscillatory approximations near shocks. In this paper, we investigate decomposition–free a special class of systems endowed coordinate system Riemann invariants. We apply to invariants instead...
Dissecting how and why a single E76K mutation alters the probability densities of conformational ensemble SHP2 with enhanced sampling metadynamics simulations.
Abstract In this paper, we develop a high-order well-balanced discontinuous Galerkin method for hyperbolic balance laws based on the Gauss-Lobatto quadrature rules. Important applications of include preserving non-hydrostatic equilibria shallow water equations with non-flat bottom topography and Euler in gravitational fields. The property is achieved through two essential components. First, source term reformulated flux-gradient form local reference equilibrium state to mimic true flux...
ABSTRACT RNA molecule plays an essential role in a wide range of biological processes. Gaining deeper understanding their functions can significantly advance our knowledge life’s mechanisms and drive the development drugs for various diseases. Recently, advances foundation models have enabled new approaches to engineering, yet existing methods fall short generating novel sequences with specific functions. Here, we introduce RNAGenesis, model that combines sequence de novo design through...
Abstract Thermochronometer data offer a powerful tool for quantifying wide range of geologic processes, such as the deformation and erosion mountain ranges, topographic evolution, hydrocarbon maturation. With increasing interest to quantify wider complicated more sophisticated techniques are needed. This paper is concerned with an inverse problem method interpreting thermochronometer quantitatively. Two novel models proposed simulate crustal thermal fields paleo topography function tectonic...
Abstract In this work, we develop a non-conforming reinterpreted discrete fracture model for the compressible miscible displacement and multicomponent gas flow in porous media containing high-permeability fractures and/or low-permeability barriers based on hybrid-dimensional Darcy's law established our previous work. The key idea of is to describe permeability codimension-one by Dirac-delta functions. When there are only fractures, delta functions added tensor right-hand side law. contrast,...
In this paper, we propose a novel learning-based pipeline for partially overlapping 3D point cloud registration. The proposed model includes an iterative distance-aware similarity matrix convolution module to incorporate information from both the feature and Euclidean space into pairwise matching process. These layers learn match points based on joint of entire geometric features offset each pair, overcoming disadvantage by simply taking inner product vectors. Furthermore, two-stage...