A physics-informed deep learning method for solving direct and inverse heat conduction problems of materials

Implementation of total variation regularization-based approaches in the solution of linear inverse heat conduction problems concerning the estimation of surface heat fluxes

(2021) Benjamin A. Tourn et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Examination of the effect of fire retardant materials on timber

(2021) Eva Lubloy et al.   Journal of Structural Fire Engineering

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

(2020) Maziar Raissi et al.   SCIENCE

Data-driven deep learning of partial differential equations in modal space

(2020) Kailiang Wu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Approach for modelling thermal properties of intumescent coating applied on steel members

(2020) Donatella de Silva et al.   FIRE SAFETY JOURNAL

Fireproof performance of the intumescent fire retardant coatings with layered double hydroxides additives

(2020) Xiaochun Hu et al.   CONSTRUCTION AND BUILDING MATERIALS

A neural network-based predictive model for the thermal conductivity of hybrid nanofluids

(2020) Humphrey Adun et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

A Traffic Surveillance System for Obtaining Comprehensive Information of the Passing Vehicles Based on Instance Segmentation

(2020) Bo Zhang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Experimental investigation on steel elements protected with intumescent coating

(2019) Donatella de Silva et al.   CONSTRUCTION AND BUILDING MATERIALS

A novel adaptive approximate Bayesian computation method for inverse heat conduction problem

(2019) Yang Zeng et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

A general approach for solving three-dimensional transient nonlinear inverse heat conduction problems in irregular complex structures

(2019) Bowen Zhang et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

A deep learning enabler for nonintrusive reduced order modeling of fluid flows

(2019) S. Pawar et al.   PHYSICS OF FLUIDS

Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

(2019) Luning Sun et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Exploring the fire behaviour of thin intumescent coatings used on timber

(2019) Andrea Lucherini et al.   FIRE SAFETY JOURNAL

Adaptive activation functions accelerate convergence in deep and physics-informed neural networks

(2019) Ameya D. Jagtap et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Deep learning for data anomaly detection and data compression of a long‐span suspension bridge

(2019) FuTao Ni et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

An iterative finite-element algorithm for solving two-dimensional nonlinear inverse heat conduction problems

(2018) Mattia Bergagio et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Hidden physics models: Machine learning of nonlinear partial differential equations

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

Deep Learning for real-time gravitational wave detection and parameter estimation: Results with Advanced LIGO data

(2018) Daniel George et al.   PHYSICS LETTERS B

Machine learning for molecular and materials science

(2018) Keith T. Butler et al.   NATURE

Improved social spider optimization algorithms for solving inverse radiation and coupled radiation–conduction heat transfer problems

(2017) Shuang-Cheng Sun et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Deep learning

(2015) Yann LeCun et al.   NATURE

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

Non-linear finite element formulation applied to thermoelectric materials under hyperbolic heat conduction model

(2011) R. Palma et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A meshless method for solving an inverse spacewise-dependent heat source problem

(2008) Liang Yan et al.   JOURNAL OF COMPUTATIONAL PHYSICS