#heatflow — Public Fediverse posts

EPFL scientists show heat can behave like a fluid, forming vortices that flow against temperature gradients.

This could lead to devices that control heat direction and reduce energy loss.

🔗 https://physicsworld.com/a/fluid-flow-how-heat-can-move-from-cooler-to-warmer-regions/

#ThermalPhysics #phononhydrodynamics #HeatFlow #Microelectronics #energymanagement

EPFL scientists show heat can behave like a fluid, forming vortices that flow against temperature gradients.

This could lead to devices that control heat direction and reduce energy loss.

🔗 https://physicsworld.com/a/fluid-flow-how-heat-can-move-from-cooler-to-warmer-regions/

#ThermalPhysics #phononhydrodynamics #HeatFlow #Microelectronics #energymanagement

The paper has passed review now and was published in Geoscientic Model Development last week 🥳

Thanks to the reviewers for their comments that lead to plenty of improvements of the paper 🙏

On the model side of things, REHEATFUNQ now has an improved handling of spatial data clusters. The new formulation is more self-consistent.

#heatflow #openscience #geophysics

After a long time (4 years? 5 years?), the second article of my PhD is finally out. Who would have expected?!

We have investigated the long-term seismic energy partitioning in Southern California and on the San Andreas fault with a particular focus on the San Andreas heat flow paradox. Three energy-related parameters (and stochastic fluctuations) can resolve the paradox.

It‘s open access here:
https://doi.org/10.1029/2023JB027086

#geophysics #SanAndreas #heatflow #openscience

Happy to share that the second paper of my PhD is now available as preprint and open for public discussion:
https://doi.org/10.5194/egusphere-2023-222

We developed a stochastic model of regional surface heat flow and Bayesian methods for its quantification. In particular, we aim to infer the strength of a specifically shaped signal given a sample of heat flow measurements.
#geophysics #heatflow #openscience #BayesianInference

Happy to share that the second paper of my PhD is now available as preprint and open for public discussion:
https://doi.org/10.5194/egusphere-2023-222

We developed a stochastic model of regional surface heat flow and Bayesian methods for its quantification. In particular, we aim to infer the strength of a specifically shaped signal given a sample of heat flow measurements.
#geophysics #heatflow #openscience #BayesianInference

Happy to share that the second paper of my PhD is now available as preprint and open for public discussion:
https://doi.org/10.5194/egusphere-2023-222

We developed a stochastic model of regional surface heat flow and Bayesian methods for its quantification. In particular, we aim to infer the strength of a specifically shaped signal given a sample of heat flow measurements.
#geophysics #heatflow #openscience #BayesianInference

Happy to share that the second paper of my PhD is now available as preprint and open for public discussion:
https://doi.org/10.5194/egusphere-2023-222

We developed a stochastic model of regional surface heat flow and Bayesian methods for its quantification. In particular, we aim to infer the strength of a specifically shaped signal given a sample of heat flow measurements.
#geophysics #heatflow #openscience #BayesianInference

Happy to share that the second paper of my PhD is now available as preprint and open for public discussion:
https://doi.org/10.5194/egusphere-2023-222

We developed a stochastic model of regional surface heat flow and Bayesian methods for its quantification. In particular, we aim to infer the strength of a specifically shaped signal given a sample of heat flow measurements.
#geophysics #heatflow #openscience #BayesianInference