diffusion models

Value-Aware Estimation of Diffusion Systems for Continuous-Time Reinforcement Learning: Surrogate Loss and Financial Applications

Abstract. We estimate diffusion systems modeled by SDEs to solve optimal control problems in a continuous-time model-based reinforcement learning framework. Instead of minimizing a statistical loss, we estimate models by reducing the mismatch between the model-based value process and empirical rewards under a given pol...

Latency-efficient cloud-edge cultural pattern generation via lossless lightweight condition transmission and bandwidth-adaptive scheduling

Cloud-edge systems for controllable diffusion generation typically upload the raw reference image, although ControlNet consumes only a sparse structural condition derived from it. We present a cloud-edge framework for directed cultural pattern generation in which the edge extracts the condition map, compresses it lossl...

From Bellman to Real-Time: Extensions to Complex Weather Regimes, Physics-Informed Optimization, and Full-Scale Validation

In our earlier methodology paper, we introduced a hierarchical framework combining graph compression, Diffusion Convolutional Recurrent Neural Networks (DCRNNs), and Multi-Agent Reinforcement Learning (MARL) to approximate Bellman’s optimality principle for real-time energy system control, validated using Palm Springs,...

Why Massive Rocky Planets Tend Toward Hydrogen Atmospheres

msf:48280 v2.0 rebuilds the atmospheric-retention problem for massive rocky planets as a conditional evolutionary framework rather than a single mass threshold. The central proposition is: given access to hydrogen-bearing gas, increasing planetary gravitational binding generally enlarges the region of parameter space i...

Resonant Quantum Hydrodynamics of Solid-State Topochemical Reactions in Constrained Nanocrystalline Lattices: A Convergent Field-Theoretic Framework

We formulate a continuum and field-theoretic paradigm in which solid-state topochemical reactions confined within nanocrystalline lattices are modeled as coherent quantum-hydrodynamic systems. Traditional chemical kinetics, bounded by the classical Arrhenius activation energy barrier and chaotic thermal molecular colli...

Machine Learning-Guided Structural Optimization of High-Temperature Polybenzimidazole-Based Phosphonic Acid Proton Exchange Membranes

Abstract Polybenzimidazole-based phosphonic acid proton exchange membranes (PEMs) are promising candidates for high-temperature PEM applications. However, the enormous monomer design space and the sensitivity of proton transport to local chemical environments render the rational membrane design highly challenging. In t...

Deterministic Electrochemical Battery State Estimation via Volume-Weighted Lithium Mass Hyperplane Projections: Achieving Zero-Drift SoC and Hard Real-Time BMS on Microcontrollers

Precise on-board estimation of State of Charge (SoC) and State of Health (SoH) in lithium-ion battery management systems (BMS) remains a critical bottleneck in electric vehicle range predictability, fast-charging safety, and pack longevity. Conventional BMS firmware is polarized between two inadequate paradigms: empiri...

stochastic-rs: quantitative finance and stochastic process simulation in Rust

stochastic-rs is an open-source Rust library for quantitative finance and stochastic process simulation. It provides 120+ stochastic processes (diffusion, jump, fractional and rough volatility, short-rate, HJM, LMM), option pricing and model calibration (Black-Scholes-Merton, Heston, SABR, rough Bergomi, Lévy, double H...

(量子)湮灭场宇宙模型:从粒子涌现到红移的累积效应解释 (Quantum)Annihilation Field Universe Model: From Particle Emergence to Cumulative Redshift

湮灭(量子)场宇宙模型:从粒子涌现到红移的累积效应解释Annihilation (Quantum)Field Universe Model: From Particle Emergence to Cumulative Redshift Abstract This paper proposes an annihilation field universe model. The annihilation field is the core concept of this paper—a fundamental field in vacuum that forms localized exc...

Accuracy and the efficiency analysis of numerical techniques for fractional Kawahara equations modeling anomalous diffusion in crowded biological cells

Application value of multi-modal magnetic resonance imaging in the establishment of cerebral ischemia reperfusion model of cynomolgus monkey

Error Progression in the Developing Fetus: A Mathematical Review

The developing fetus conducts billions of molecular processes, including cell division, gene regulation, protein signaling, and tissue remodeling—with remarkable precision. Errors in these systems could lead to implications that range from small changes in genes to major birth defects. This study examinesthe use of mat...