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Papers reviewed in the last 7 days lead, then the papers readers actually read. Ranking is not a quality score.

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L_alpha matrices track eigenvalues across graph operations

The one-parameter family recovers adjacency, degree, and Laplacian spectra as special cases when graphs are combined by union or join.

· “Eigenvalues of boldsymbol{L_α}-matrices under graph operations”

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φ-DeepONet modifies the DeepONet architecture to handle discontinuities by using multiple…

φ-DeepONet learns mappings with discontinuities in inputs and outputs by combining multiple branch networks with a nonlinear interface…

· “φ-DeepONet: A Discontinuity Capturing Neural Operator”

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Knowledge-guided search finds biological ODEs that data-fitting misses

MEDA shows literature-derived constraints, not trajectory fit, are the load-bearing part of recovering mechanistic models.

· “Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System”

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Factored trees let agentic teams reuse past solution paths across problems

GRAFT-ATHENA embeds decision sequences as metric fingerprints so new physics tasks draw on accumulated experience and invent new solvers.

· “GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms”

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The paper proves existence of a C^r diffeomorphism on a closed manifold of dimension >2…

It stays strongly pluripotent only on the majority subset, creating a robust obstruction inside the affine family.

· “A robust obstruction to full strong pluripotency for wild blender-horseshoes”

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Tensor method scales exact MDP optimization linearly for infrastructure

Kronecker-factored transitions cut complexity from exponential to linear while keeping global dynamic programming solutions intact.

· “Probabilistic Hazard Analysis Framework with Stochastic Optimal Control for Deteriorating Civil Infrastructure Systems”

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Global solutions exist for power-rate fragmentation-coagulation in any dimension

Power rates give classical global solutions without data-size limits once fragmentation dominates diffusion and coagulation.

· “Local and global solutions to continuous fragmentation-coagulation equations with vanishing diffusion and unbounded fragmentation and coagulation rates”

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Optimized designs lift heat exchanger performance by 22 percent

Calibrated low-fidelity Darcy model lets topology search find turbulent two-fluid exchangers with better heat transfer and controlled drag

· “Topology optimization of two-fluid turbulent heat exchangers: A Darcy flow-based multifidelity approach”

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Symmetric reset sites remove rate dependence from ruin probability

Under spectral duality the coupling constant equals the classical midpoint value for any bias, any number of sites, and every resetting rate

· “Spectral Duality and Reset-Neutral Distributions in Random Walks with Multi-Site Geometric Resetting”

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Global weak solutions exist for chemotaxis fluid model of vessel formation

Existence holds on the 3D torus for pressure exponents above 4/3 and finite-energy data, grounding long-time descriptions of early blood-v.

· “Chemotaxis compressible Navier-Stokes equations with density-dependent viscosity modeling vascular network formation”

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DRO plus generative AI solves green capacity planning efficiently

Real-world tests show stronger economics, maintained feasibility, and faster consistent solutions than standard methods under demand and net

· “Green Manufacturing Capacity Planning by Integrating Distributionally Robust Optimization and Generative AI”

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New fluxes preserve positivity in DGSEM on curvilinear AMR meshes

Entropy-stable and mortar-based interface treatments extend high-order accuracy and admissibility to adaptive grids with nonconforming 2:1 h

· “Positivity-Preserving and Entropy-Stable Oscillation-Eliminating DGSEM for the Compressible Euler Equations on Curvilinear Meshes with Adaptive Mesh Refinement”

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Dual UAV networks eliminate C2 outages in emergency deliveries

Hovering base stations and moving delivery drones coordinate to maintain reliable links and lower hardware costs after disasters.

· “A Heterogeneous Dual-Network Framework for Emergency Delivery UAVs: Communication Assurance and Path Planning Coordination”

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Gradient-free method solves aggregative optimization without derivatives

ARGFree combines randomized finite differences and tracking variables to converge in expectation, with a momentum variant that smooths high-

· “Model-Free Aggregative Cooperative Optimization via Randomized Gradient-Free Minimization and Exploration Momentum”

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Sketch-based GPU solver handles 5000-asset portfolios in seconds

Nesterov-accelerated projection with subspace embeddings preserves accuracy while cutting full-model runtime from over a minute to under 3 s

· “Scalable Mean-Variance Portfolio Optimization via Subspace Embeddings and GPU-Friendly Nesterov-Accelerated Projected Gradient”

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Weak-form networks recover physical laws from noisy measurements

WGFINNs preserve exact thermodynamic constraints and deliver more accurate predictions than strong-form alternatives at all noise levels.

· “WGFINNs: Weak formulation-based GENERIC formalism informed neural networks”

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