Publication

Shape optimization of segmental porous baffles for enhanced thermo-hydraulic performance of shell-and-tube heat exchanger

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Shape optimization of segmental porous baffles for enhanced thermo-hydraulic performance of shell-and-tube heat exchanger

Chat with Graph Search

Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints

Multiscale enhancement of refrigerant falling film boiling by combining commercially enhanced tubes with nanostructures

Improved Waste Heat Management and Energy Integration in an Aluminum Annealing Continuous Furnace Using a Machine Learning Approach

Design and assessment of an evaporating water-cooled methanation reactor for a SOE-based power-to-methane system

Impact of Tissue Damage and Hemodynamics on Restenosis Following Percutaneous Transluminal Angioplasty: A Patient-Specific Multiscale Model

Heat transfer of uncoated and nanostructure coated commercially micro-enhanced refrigeration tubes under pool boiling conditions

Beam radiation penetration in particle b e ds for heat transfer modeling of a centrifugal solar particle receiver

Modeling and optimization of PCB coils for inductive power transfer systems

Normal Contact Force Estimation Using Deep Learning

A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

The effect of smooth parametrizations on nonconvex optimization landscapes

Universal and adaptive methods for robust stochastic optimization

Robust optimization of control parameters for WEC arrays using stochastic methods

Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization

Predictive power-sharing scaling law in double-null L-mode plasmas

A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering

Unearthing the foundational role of anharmonicity in heat transport in glasses

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Biophysically accurate and machine learning-based surrogate models to optimize neuroprosthesis design and operation

Modeling and Design Optimization of Loosely Coupled PCB Spiral Coils in Inductive Power Transfer Systems