Research graph
References from Predicting the performance of magnetocaloric systems using machine learning regressors. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Unresolved reference
2015 · External reference
Present and future caloric refrigeration and heat-pump technologies
10.1016/j.ijrefrig.2015.06.008 · 2015 · External reference
A review of magnetic refrigerator and heat pump prototypes built before the year 2010
10.1016/j.ijrefrig.2010.04.002 · 2010 · External reference
Magnetocaloric materials for energy efficient cooling
10.1088/1361-6463/50/5/053002 · 2017 · External reference
Unresolved reference
2003 · External reference
The employment of caloric-effect materials for solid-state heat pumping
10.1016/j.ijrefrig.2019.09.011 · 2020 · External reference
Integration of a magnetocaloric heat pump in an energy flexible residential building
10.1016/j.renene.2018.12.102 · 2019 · External reference
Prediction and optimisation of geometrical properties of the refrigerant bed in an AMRR cycle
10.1016/j.ijrefrig.2008.02.007 · 2008 · External reference
Multiobjective optimization of AMR systems
10.1016/j.ijrefrig.2013.09.009 · 2014 · External reference
Detailed numerical simulations of a single stage of rotatory active magnetic regenerators: Influence of the pin geometry
10.1016/j.ijthermalsci.2019.106198 · 2020 · External reference
Incorporating device and experimental loss mechanisms in AMR modelling
10.1016/j.ijrefrig.2018.10.006 · 2019 · External reference
Frequency correlated heat transfer characteristics of parallel plate active magnetocaloric regenerator
10.1016/j.ijrefrig.2019.09.010 · 2019 · External reference
Nature inspired flow patterns for active magnetic regenerators assessed using a 1d amr model
10.3389/fenrg.2019.00068 · 2019 · External reference
Performance investigation of a high-field active magnetic regenerator
10.1016/j.apenergy.2018.12.012 · 2019 · External reference
Design trade-offs for an active magnetic regenerator device
10.1016/j.applthermaleng.2019.114467 · 2020 · External reference
Design and optimization of regenerators of a rotary magnetic refrigeration device using a detailed simulation model
10.1016/j.ijrefrig.2018.01.011 · 2018 · External reference
Modelling two layer mn–fe–si–p materials in an active magnetic regenerator
10.1016/j.ijrefrig.2019.07.002 · 2019 · External reference
Sensitivity analysis and multiobjective optimization of a parallel-plate active magnetic regenerator using a genetic algorithm
10.1016/j.ijrefrig.2017.01.005 · 2017 · External reference
Permanent magnet design for magnetic heat pumps using total cost minimization
10.1016/j.jmmm.2017.06.039 · 2017 · External reference
Semi-analytic AMR element model
10.1016/j.applthermaleng.2017.09.082 · 2018 · External reference
Analysis and optimisation of a cascade active magnetic regenerative refrigeration system
10.1504/ijex.2016.075601 · 2016 · External reference
Performance enhancement of a compressive thermoelastic cooling system using multi-objective optimization and novel designs
10.1016/j.ijrefrig.2015.04.012 · 2015 · External reference
Modeling and analysis of an integrated solid state elastocaloric heat pumping system
10.1016/j.energy.2017.05.008 · 2017 · External reference
Unresolved reference
2006 · External reference
An evolutionary algorithm approach to link prediction in dynamic social networks
10.1016/j.jocs.2014.01.003 · 2014 · External reference
Using least square support vector regression with genetic algorithm to forecast beta systematic risk
10.1016/j.jocs.2015.08.004 · 2015 · External reference
A novel non-dominated sorting algorithm for evolutionary multi-objective optimization
10.1016/j.jocs.2017.09.015 · 2017 · External reference
Unresolved reference
2015 · External reference
Evaluating magnetocaloric effect in magnetocaloric materials: A novel approach based on indirect measurements using artificial neural networks
10.3390/en12101871 · 2019 · External reference
An application of the artificial neural network to optimise the energy performances of a magnetic refrigerator
10.1016/j.ijrefrig.2017.06.015 · 2017 · External reference
Broad multi-parameter dimensioning of magnetocaloric systems using statistical learning classifiers
10.3389/fenrg.2020.00121 · 2020 · External reference
Computationally efficient model of an active magnetic regenerator
2015 · External reference
Magnetic heat pumping near room temperature
10.1063/1.323176 · 1976 · External reference
Energy applications of magnetocaloric materials
10.1002/aenm.201903741 · 2020 · External reference
Heatrapy: A flexible python framework for computing dynamic heat transfer processes involving caloric effects in 1.5d systems
10.1016/j.softx.2018.09.007 · 2018 · External reference
Review on numerical modeling of active magnetic regenerators for room temperature applications
10.1016/j.ijrefrig.2010.12.026 · 2011 · External reference
Unresolved reference
2017 · External reference
Two-dimensional mathematical model of a reciprocating room-temperature active magnetic regenerator
10.1016/j.ijrefrig.2007.07.009 · 2008 · External reference
Comparison between a 1d and a 2d numerical model of an active magnetic regenerative refrigerator
10.1088/0022-3727/41/10/105002 · 2008 · External reference
Detailed numerical modeling of a linear parallel-plate active magnetic regenerator
10.1016/j.ijrefrig.2009.03.003 · 2009 · External reference
A flexible numerical model to study an active magnetic refrigerator for near room temperature applications
10.1016/j.apenergy.2010.01.009 · 2010 · External reference
Temperature dependent thermal conductivity of magnetocaloric materials: Impact assessment on the performance of active magnetic regenerative refrigerators
10.1016/j.ijrefrig.2019.06.016 · 2019 · External reference
Electrocaloric refrigeration: Thermodynamics, state of the art and future perspectives
10.1016/j.ijrefrig.2013.11.007 · 2014 · External reference
A review of elastocaloric cooling: Materials, cycles and system integrations
10.1016/j.ijrefrig.2015.12.001 · 2016 · External reference
