Cover Image

HARPPP: Autonomous Geometric Design Optimisation of Stirred Tank Reactor Impellers and Baffles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nicusan, A. Leonard, Gobby, Darren, Windows-Yule, Kit
Format:	Preprint
Published:	2025
Subjects:	Fluid Dynamics Computational Physics 65M08, 65N08, 76D05, 76M12, 65K05, 90C59, 90C30, 65Y05, 68W10, 68U07 I.6.3; I.6.5; J.2; G.1.6; I.2.8; D.1.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Monte Carlo sampling with integrator snippets
by: Andrieu, Christophe, et al.
Published: (2024)

Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media
by: Fernández-Godino, M. Giselle, et al.
Published: (2025)

Robustness, Cost, and Attack-Surface Concentration in Phishing Detection
by: Allagan, Julian, et al.
Published: (2026)

Modeling of Chemical Reactions in Rarefied Gas Flows by the Kinetic Fokker-Planck Method
by: Basov, Leo, et al.
Published: (2025)

Review of multi-fidelity models
by: Fernández-Godino, M. Giselle
Published: (2016)

Data-driven linear solver selection and performance tuning for multiphysics simulations in porous media
by: Zabegaev, Yury, et al.
Published: (2025)

Low-noise Pauli-consistent ensemble Monte Carlo for graphene with electron-electron scattering
by: Zalinyan, Tigran, et al.
Published: (2026)

Adaptive Mixture Importance Sampling for Automated Ads Auction Tuning
by: Jia, Yimeng, et al.
Published: (2024)

Multirate Stein Variational Gradient Descent for Efficient Bayesian Sampling
by: Sarshar, Arash
Published: (2026)

Operationalizing Cybersecurity Governance for Mitigation Planning with Attack-Path Modeling and Reinforcement Learning
by: Huff, Philip, et al.
Published: (2026)

WAKESET: A Large-Scale, High-Reynolds Number Flow Dataset for Machine Learning of Turbulent Wake Dynamics
by: Cooper-Baldock, Zachary, et al.
Published: (2026)

Transformer self-attention encoder-decoder with multimodal deep learning for response time series forecasting and digital twin support in wind structural health monitoring
by: Zhou, Feiyu, et al.
Published: (2026)

Learnable Viscosity Modulation in Physics-Informed Neural Networks for Incompressible Flow Reconstruction
by: Xu, Ke, et al.
Published: (2026)

NOVAK: Unified adaptive optimizer for deep neural networks
by: Kavun, Sergii
Published: (2026)

Efficient preconditioners for coupled Stokes-Darcy problems with MAC scheme: Spectral analysis and numerical study
by: Strohbeck, Paula, et al.
Published: (2024)

Securing Radiation Detection Systems with an Efficient TinyML-Based IDS for Edge Devices
by: Pizarro, Einstein Rivas, et al.
Published: (2025)

An Efficient Intrusion Detection System for Safeguarding Radiation Detection Systems
by: Coolidge, Nathanael, et al.
Published: (2025)

Model order reduction of hemodynamics by space-time reduced basis and reduced fluid-structure interaction
by: Tenderini, Riccardo, et al.
Published: (2025)

Exploratory Analysis of Cyberattack Patterns on E-Commerce Platforms Using Statistical Methods
by: Adeniya, Fatimo Adenike
Published: (2025)

CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
by: Du, Wenzhang
Published: (2025)

Bridging scales in porous media: cDFT-informed pore network modelling for fluid transport with nanoconfined phase behavior
by: Nesterova, Irina, et al.
Published: (2025)

Space-Time Block Preconditioning for Incompressible Resistive Magnetohydrodynamics
by: Danieli, Federico, et al.
Published: (2023)

PACT: Reducing Alert Fatigue in Low-Prevalence SOC Streams with Triggered Active Learning
by: Ndichu, Samuel, et al.
Published: (2026)

Local properties of neural networks through the lens of layer-wise Hessians
by: Bolshim, Maxim, et al.
Published: (2025)

Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures
by: Bolshim, Maxim, et al.
Published: (2026)

Stochastic Estimation of the Layer-wise Hessian Trace for Monitoring Neural-network Training
by: Bolshim, Maxim, et al.
Published: (2026)

On the maximum bound principle and energy dissipation of exponential time differencing methods for the chiral liquid crystal blue phases
by: Hu, Wenshuai, et al.
Published: (2025)

Generalized Scalar Auxiliary Variable Exponential Integrator for A Modified Landau-de Gennes Theory for Smectic Liquid Crystals
by: Hu, Wenshuai, et al.
Published: (2026)

On the Structural Failure of Chamfer Distance in 3D Shape Optimization
by: Song, Chang-Yong, et al.
Published: (2026)

RANDSMAPs: Random-Feature/multi-Scale Neural Decoders with Mass Preservation
by: Patsatzis, Dimitrios G., et al.
Published: (2026)

Spline Shallow Water Moment Equations
by: Scholz, Ullika, et al.
Published: (2025)

A Hybrid High-Order method for the power-law Brinkman problem with robust error estimates in all regimes
by: Quiroz, Daniel Castañón, et al.
Published: (2025)

Capturing vertical information in radially symmetric flow using hyperbolic shallow water moment equations
by: Verbiest, Rik, et al.
Published: (2023)

Multi-period Newsvendor Model
by: Khokhlov, Valentyn
Published: (2026)

Network-Optimised Spiking Neural Network (NOS) Scheduling for 6G O-RAN: Spectral Margin and Delay-Tail Control
by: Bilal, Muhammad, et al.
Published: (2025)

MetaDigiHuman: Haptic Interfaces for Digital Humans in Metaverse
by: Jagatheesaperumal, Senthil Kumar, et al.
Published: (2024)

Gauge techniques in time and frequency domain TLM
by: Hein, Steffen
Published: (2000)

A low-order hybrid method for the variable-density incompressible Navier-Stokes equations
by: Dauphin, Mathias, et al.
Published: (2026)

Reinterpreting EMML as Mirror Descent for Constrained Maximum Likelihood Estimation
by: Clerc, Antonin, et al.
Published: (2026)

Threat Detection in Social Media Networks Using Machine Learning Based Network Analysis
by: Agrawal, Aditi Sanjay
Published: (2026)