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diffusion models

2,370 papers

#diffusion models Open access Oct 2026

Bacterial Cheminformatics: Large Language Models and Challenges in Bacterial Chemspace

The escalating global crisis of antimicrobial resistance (AMR), often characterized as a "silent pandemic," necessitates a paradigm shift in antibiotic discovery. Traditional cheminformatics pipelines, reliant on hand-crafted molecular descriptors and low-throughput screening, are increasingly insufficient to address t...

Gaurav Sablok · 0 citations
#diffusion models Open access Oct 2026

MULTICARBON ELECTROSYNTHESIS & HYBRID CARBON BIOREFINERIES AT THE LIMIT C-C Coupling, Ethylene, Ethanol, Acetate, Propanol, Butanol, Product Concentration, Electro-Biological Manufacturing, and Carbon-Chain Growth

MULTICARBON ELECTROSYNTHESIS & HYBRID CARBON BIOREFINERIES AT THE LIMITC-C Coupling, Ethylene, Ethanol, Acetate, Propanol, Butanol, Product Concentration, Electro-Biological Manufacturing, and Carbon-Chain Growth Feng Cheng-en (33) x Starli When does growing a carbon chain create more system value than catalytic comple...

33 · 0 citations
#diffusion models Open access Oct 2026

FBR Inverted Lock Mechanism

Abstract / Description This appendix to the Free Body Rotation Model (FBR) examines the kinematic and thermodynamic implications of sign-reversing the radial phase velocity (\bm{v_r \to -v_r}) within a topologically protected 2:1 phase lock. By inverting the radial gradient, the model converts an internal confining str...

Mike Dismuke · 0 citations
#diffusion models Open access Oct 2026

Accelerated Degradation Process Analysis Based on the Generalized Wiener Process with Mixed Random Effects

This paper investigates degradation modeling and failure time prediction for constant-stress accelerated degradation tests (CSADT) using a generalized Wiener process. Owing to differences in manufacturing processes and operating environments, the degradation trajectories may vary across individual units of the same pro...

Shanshan Li, Zaizai Yan · 0 citations
#diffusion models Open access Oct 2026

Quantitative Test of Neutrino-Induced Microscopic Momentum Renewal

This paper establishes a quantitative experimental framework for testing the hypothesis that the pervasive neutrino energy-momentum flux provides a physical mechanism for persistent microscopic momentum renewal in matter. The framework begins from established neutrino physics: neutrinos are produced carrying energy and...

MAHDI NAJARD · 0 citations
#diffusion models Open access Oct 2026

Computational Data and MATLAB Codes for Fuzzy Parametric Uncertainty Propagation in a Fractional Reaction–Diffusion Hahnfeldt Tumor–Vascular Model

This repository contains the MATLAB codes and numerical data supporting the computational results of the study “Fuzzy Parametric Uncertainty Propagation in a Fractional Reaction–Diffusion Hahnfeldt Tumor–Vascular Model.” The computational framework combines Caputo fractional temporal dynamics, spatial diffusion, and tr...

Ali Hatami, Nahal Hatami · 0 citations
#diffusion models Open access Oct 2026

Quantitative Test of Neutrino-Induced Microscopic Momentum Renewal

This paper establishes a quantitative experimental framework for testing the hypothesis that the pervasive neutrino energy-momentum flux provides a physical mechanism for persistent microscopic momentum renewal in matter. The framework begins from established neutrino physics: neutrinos are produced carrying energy and...

MAHDI NAJARD · 0 citations
#diffusion models Open access Oct 2026

ProbNumDiffEq.jl: Probabilistic Numerical Solvers for Ordinary Differential Equations in Julia

ProbNumDiffEq v0.18.0 Diff since v0.17.1 Breaking changes ClassicSolverInit no longer has a default alg, and ProbNumDiffEq no longer depends on OrdinaryDiffEqVerner and OrdinaryDiffEqRosenbrock (#426). Pass an algorithm explicitly, e.g. ClassicSolverInit(AutoTsit5(Rosenbrock23())). DynamicMVDiffusion and a calibrated F...

Nathanael Bosch · 0 citations
#diffusion models Open access Oct 2026

Few-Shot Remote Sensing Scene Classification Leveraging Collaboration of Foundation Models

Foundation models have shown remarkable generalization ability for few-shot learning (FSL). However, their potential for remote sensing scene classification has not been fully explored. Existing methods mainly adapt a single vision–language model and seldom exploit the complementary strengths of different foundation mo...

Hong Ji, Zhi Gao, Yu-Cheng Gong et al. · 0 citations

Understanding the Role of Lithium Metal Microstructure in Chemo-Mechanical Instability of Solid-State Batteries

Abstract Increased energy density and safety relative to conventional lithium (Li)-ion batteries motivate the development of solid-state batteries (SSBs). However, maintaining interface stability at the metal anode–solid electrolyte (SE) interface remains a critical challenge to achieving practical areal capacities, es...

Deep Chatterjee, Abhinand Ayyaswamy, Bairav S. Vishnugopi et al. · 0 citations
#diffusion models Open access Oct 2026

MULTICARBON ELECTROSYNTHESIS & HYBRID CARBON BIOREFINERIES AT THE LIMIT C-C Coupling, Ethylene, Ethanol, Acetate, Propanol, Butanol, Product Concentration, Electro-Biological Manufacturing, and Carbon-Chain Growth

MULTICARBON ELECTROSYNTHESIS & HYBRID CARBON BIOREFINERIES AT THE LIMITC-C Coupling, Ethylene, Ethanol, Acetate, Propanol, Butanol, Product Concentration, Electro-Biological Manufacturing, and Carbon-Chain Growth Feng Cheng-en (33) x Starli When does growing a carbon chain create more system value than catalytic comple...

33 · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

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