Variation of Bose surface by Filling in Cooper pair Bose metalThe Cooper pair Bose metal (CPBM) is a non-superfluid quantum phase in which uncondensed fermion pairs form a "Bose surface" in momentum space. We investigate the CPBM in the two-dimensional…Jiahao Su, Ji Liu, Jianyu Li et al.·May 30, 2025SaveLearn
Energy-Embedded Neural Solvers for One-Dimensional Quantum SystemsPhysics-informed neural networks (PINN) have been widely used in computational physics to solve partial differential equations (PDEs). In this study, we propose an energy-embedding-based…Yi-Qiang Wu, Xuan Liu, Hanlin Li et al.·May 30, 2025SaveLearn
Topology-Preserving Coupling of Compressible Fluids and Thin DeformablesWe present a novel discretization of coupled compressible fluid and thin deformable structures that provides sufficient and necessary leakproofness by preserving the path connectedness of the fluid…Jonathan Panuelos, Eitan Grinspun, David Levin·May 29, 2025SaveLearn
Computerized Modeling of Electrophysiology and Pathoelectrophysiology of the Atria -- How Much Detail is Needed?This review focuses on the computerized modeling of the electrophysiology of the human atria, emphasizing the simulation of common arrhythmias such as atrial flutter (AFlut) and atrial fibrillation…Olaf Dössel, Axel Loewe·May 29, 2025SaveLearn
Revolutionising Antibacterial Warfare: Machine Learning and Molecular Dynamics Unveiling Potential Gram-Negative Bacteria InhibitorsDiseases caused by bacteria have been a threat to human civilisation for centuries. Despite the availability of numerous antibacterial drugs today, bacterial diseases continue to pose…Pritish Joshi, Abhishek Bera, Niladri Patra·May 29, 2025SaveLearn
A Descriptor Is All You Need: Accurate Machine Learning of Nonadiabatic Coupling VectorsNonadiabatic couplings (NACs) play a crucial role in modeling photochemical and photophysical processes with methods such as the widely used fewest-switches surface hopping (FSSH). There is therefore…Jakub Martinka, Lina Zhang, Yi-Fan Hou et al.·May 29, 2025SaveLearn
Physics-Infused Reduced-Order Modeling for Analysis of Multi-Layered Hypersonic Thermal Protection SystemsThis work presents a physics-infused reduced-order modeling (PIROM) framework for efficient and accurate prediction of transient thermal behavior in multi-layered hypersonic thermal protection…Carlos A. Vargas Venegas, Daning Huang, Patrick Blonigan et al.·May 28, 2025SaveLearn
Numerical Analysis of Damage Evolution in Open Hole CFRP Laminates Modified with Electrospun Self Healing Diels Alder InterleavesThe study analyzes open hole carbon fiber reinforced polymer CFRP laminates modified with electrospun interleaves containing Diels Alder-based self-healing agents. It develops a high-fidelity…Marianna Chantzi, Vassilis Kostopoulos, Spyridon Psarras·May 25, 2025SaveLearn
Validating The Effectiveness of Electrospun Self Healing Diels Alder Interleaves to Mode I fracture resistance by Comparing Simulation Outputs with Experimental ResultsThe predictive capabilities of the finite element approach were assessed by comparing simulation outputs with experimental results, including load-displacement trends, damage initiation points, and…Constantinos Rouvalis, Vassilis Kostopoulos, Spyridon Psarras·May 25, 2025SaveLearn
Higher order stray field computation on tensor product domainsWe present an extension of the tensor grid method for stray field computation on rectangular domains that incorporates higher-order basis functions. Both the magnetization and the resulting magnetic…Lukas Exl, Sebastian Schaffer·May 25, 2025SaveLearn
High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian PredictionDensity functional theory (DFT) is a fundamental method for simulating quantum chemical properties, but it remains expensive due to the iterative self-consistent field (SCF) process required to solve…Seongsu Kim, Nayoung Kim, Dongwoo Kim et al.·May 24, 2025SaveLearn
Scientific machine learning in Hydrology: a unified perspectiveScientific machine learning (SciML) provides a structured approach to integrating physical knowledge into data-driven modeling, offering significant potential for advancing hydrological research. In…Adoubi Vincent De Paul Adombi·May 24, 2025SaveLearn
Increasing the Resistance of Magnetic Flux Concentrator during Generation of Strong Pulsed Magnetic FieldsThe possibility of significant increase of generated pulsed magnetic fields by the inductor system of a single-turn solenoid and magnetic flux concentrator without initialization of low-cycle fatigue…P. A. Russkikh, G. Sh. Boltachev·May 23, 2025SaveLearn
Reference solutions for linear radiation transport: the Hohlraum and Lattice benchmarksTwo benchmark problems for linear radiation transport and derived from the literature are presented in detail and several quantities of interest are defined. High-resolution simulations are computed…Steffen Schotthöfer, Cory Hauck·May 22, 2025SaveLearn
Analysis and Simulation of Generalized Langevin Equations with Non-Gaussian Orthogonal ForcesThe generalized Langevin equation (GLE) is a useful framework for analyzing and modeling the dynamics of many-body systems in terms of low-dimensional reaction coordinates, with its specific form…Henrik Kiefer, Benjamin J. A. Héry, Lucas Tepper et al.·May 21, 2025SaveLearn
Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0Artificial intelligence (AI) holds strong potential for medical diagnostics, yet its clinical adoption is limited by a lack of interpretability and generalizability. This study introduces the…Mohammad R. Salmanpour, Seyed Mohammad Piri, Somayeh Sadat Mehrnia et al.·May 20, 2025SaveLearn
Time domain analysis of microstructured materials through the reduced relaxed micromorphic modelMicrostructured materials, such as architected metamaterials and phononic crystals, exhibit complex wave propagation phenomena due to their internal structure. While full-scale numerical simulations…Gianluca Rizzi, Angela Madeo·May 20, 2025SaveLearn
phaser: A unified and extensible framework for fast electron ptychographyWe present phaser, an open-source Python package that provides a unified interface to both conventional and gradient descent-based ptychographic algorithms. Features such as mixed-state probe,…Colin Gilgenbach, Menglin Zhu, James M. LeBeau·May 20, 2025SaveLearn
RT-APNN for Solving Gray Radiative Transfer EquationsThe Gray Radiative Transfer Equations (GRTEs) are high-dimensional, multiscale problems that pose significant computational challenges for traditional numerical methods. Current deep learning…Xizhe Xie, Wengu Chen, Zheng Ma et al.·May 20, 2025SaveLearn
Accelerating Bayesian Optimal Experimental Design via Local Radial Basis Functions: Application to Soft Material CharacterizationWe develop a computational approach that significantly improves the efficiency of Bayesian optimal experimental design (BOED) using local radial basis functions (RBFs). The presented RBF--BOED method…Tianyi Chu, Jonathan B. Estrada, Spencer H. Bryngelson·May 19, 2025SaveLearn
LaPON: A Lagrange's-mean-value-theorem-inspired operator network for solving PDEs and its application on NSEAccelerating the solution of nonlinear partial differential equations (PDEs) while maintaining accuracy at coarse spatiotemporal resolution remains a key challenge in scientific computing.…Siwen Zhang, Xizeng Zhao, Zhengzhi Deng et al.·May 18, 2025SaveLearn
Predicting and understanding diffusion lengths and lifetimes in solids via a many-body ab initio method: The role of coupled dynamicsWe present an ab initio method of diffusion, relaxation and dephasing processes of arbitrary observables, and corresponding diffusion lengths and lifetimes in solids. The method is based on…Junqing Xu·May 18, 2025SaveLearn
Data-driven Design of Isotropic and High-Stiffness TPMS-based Amorphousness-Induced Architected Material (TAAM)For their excellent stiffness-to-weight characteristics, triply periodic minimal surfaces (TPMS) are widely adopted in architected materials. However, their geometric regularity often leads to…Minwoo Park, Junheui Jo, Seunghwa Ryu·May 17, 2025SaveLearn
PyLIT: Reformulation and implementation of the analytic continuation problem using kernel representation methodsPath integral Monte Carlo (PIMC) simulations are a cornerstone for studying quantum many-body systems. The analytic continuation (AC) needed to estimate dynamic quantities from these simulations is…Alexander Benedix Robles, Phil-Alexander Hofmann, Thomas Chuna et al.·May 15, 2025SaveLearn
Neural models for prediction of spatially patterned phase transitions: methods and challengesDryland vegetation ecosystems are known to be susceptible to critical transitions between alternative stable states when subjected to external forcing. Such transitions are often discussed through…Daniel Dylewsky, Sonia Kéfi, Madhur Anand et al.·May 14, 2025SaveLearn