Multi-Objective Inverse Design of Finned Heat Sink System with Physics-Informed Neural Networks

A large-scale stochastic simulation-based thermodynamic optimization for the hybrid closed circuit cooling tower system with parallel computing

(2023) Hua Liu et al.   Energy

The Application of Physics-Informed Machine Learning in Multiphysics Modeling in Chemical Engineering

(2023) Zhiyong Wu et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Inverse Design of Diffusion–Absorption Hybrid Metasurfaces

(2023) Zicheng Song et al.   Laser & Photonics Reviews

Physics-informed neural networks (PINNs) for fluid mechanics: a review

(2022) Shengze Cai et al.   ACTA MECHANICA SINICA

Physics-informed machine learning-aided framework for prediction of minimum film boiling temperature

(2022) Kyung Mo Kim et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations

(2022) Lei Yuan et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks

(2021) Qiming Zhu et al.   COMPUTATIONAL MECHANICS

A new cooling strategy for edge computing servers using compact looped heat pipe

(2021) Ji Li et al.   APPLIED THERMAL ENGINEERING

A physics-informed machine learning approach for solving heat transfer equation in advanced manufacturing and engineering applications

(2021) Navid Zobeiry et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Physics-Informed Neural Networks for Heat Transfer Problems

(2021) Shengze Cai et al.   JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME

Uncovering near-wall blood flow from sparse data with physics-informed neural networks

(2021) Amirhossein Arzani et al.   PHYSICS OF FLUIDS

Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks

(2021) N. Sukumar et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Deciphering the optimal exergy field in closed-wet cooling towers using Bi-level reduced-order models

(2021) Jinghui Qu et al.   ENERGY

CPU heat sink cooling by triangular shape micro-pin-fin: Numerical study

(2020) Mir Waqas Alam et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

(2020) Maziar Raissi et al.   SCIENCE

Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations

(2020) Liu Yang et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

Effect of a micro heat sink geometric design on thermo-hydraulic performance: A review

(2020) Yousef Alihosseini et al.   APPLIED THERMAL ENGINEERING

Model reductions for multiscale stochastic optimization of cooling water system equipped with closed wet cooling towers

(2020) Qiping Zhu et al.   CHEMICAL ENGINEERING SCIENCE

Conjugate heat transfer enhancement in the mini-channel heat sink by realizing the optimized flow pattern

(2020) Hui Xiao et al.   APPLIED THERMAL ENGINEERING

A thermal multi-phase flow model for directed energy deposition processes via a moving signed distance function

(2020) Ze Zhao et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Non-invasive inference of thrombus material properties with physics-informed neural networks

(2020) Minglang Yin et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Improved selection in evolutionary multi–objective optimization of multi–skill resource–constrained project scheduling problem

(2019) Maciej Laszczyk et al.   INFORMATION SCIENCES

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

(2019) Yinhao Zhu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

CFD analysis and experimental verification on a new type of air-cooled heat sink for reducing maximum junction temperature

(2019) Wen-Xiao Chu et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Optimization of a double-layered microchannel heat sink with semi-porous-ribs by multi-objective genetic algorithm

(2019) Tian-Hu Wang et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Globally optimal linear approach to the design of heat exchangers using threshold fouling modeling

(2018) Julia C. Lemos et al.   AICHE JOURNAL

Geometric optimization of an enhanced microchannel heat sink with superhydrophobic walls

(2018) Hamidreza Ermagan et al.   APPLIED THERMAL ENGINEERING

Inverse design in nanophotonics

(2018) Sean Molesky et al.   Nature Photonics

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Air cooled heat sink geometries subjected to forced flow: A critical review

(2018) Zulfiqar Khattak et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Optimal shape design of a minichannel heat sink applying multi-objective optimization algorithm and three-dimensional numerical method

(2018) Ya Ge et al.   APPLIED THERMAL ENGINEERING

Computational design and optimisation of pin fin heat sinks with rectangular perforations

(2016) Amer Al-Damook et al.   APPLIED THERMAL ENGINEERING

Multi-objective design optimization of a plate-fin heat sink using a teaching-learning-based optimization algorithm

(2015) R.V. Rao et al.   APPLIED THERMAL ENGINEERING

State-of-the-art methods for inverse design of an enclosed environment

(2015) Wei Liu et al.   BUILDING AND ENVIRONMENT

Methods for multi-objective optimization: An analysis

(2015) I. Giagkiozis et al.   INFORMATION SCIENCES

Stochastic multi-objective optimization: a survey on non-scalarizing methods

(2013) Walter J. Gutjahr et al.   ANNALS OF OPERATIONS RESEARCH

Multi-scale optimization for process systems engineering

(2013) Lorenz T. Biegler et al.   COMPUTERS & CHEMICAL ENGINEERING

Optimization of IGCC processes with reduced order CFD models

(2011) Yidong Lang et al.   COMPUTERS & CHEMICAL ENGINEERING

A robust stochastic approach for design optimization of air cooled heat exchangers

(2008) A.R. Doodman et al.   APPLIED ENERGY