Tushar Saha

Experimental physicist | Stochastic thermodynamics

[Tushar Saha @TusharKSaha]

#Bayesian info. engine out in @PhysRevLett! Amazing collaboration with @jnlucero96, @Nikthebigfish from @DavidASivak & Bechhoefer groups @SFUPhysics!
https://t.co/Lqkon8n6aG

[David Sivak @DavidASivak]

Beautiful experiments from @TusharKSaha with John Bechhoefer, powerful theory and simulations from Jannik Ehrich, all in @SFUPhysics @SFUResearch, with collaborative help from Susanne Still @uhmanoa

[Phys.org @physorg_com]

Mini-#engine exploits noise to convert information into fuel @physrevlett https://t.co/rsj2CDtcC5 https://t.co/US4EpSZ5em

[Tushar Saha @TusharKSaha]

Congrats @samsuresh94 & team!

[Samyuktha Suresh, PhD @samsuresh94]

New article from my PhD work @institut_curie is out! 🎉🎉
➡️Expression, Localization and Prognosis Association of MEP50 in Breast Cancer https://t.co/D0ioGdLHjN #mdpicancers via @Cancers_MDPI

[Physical Review Letters @PhysRevLett]

#PRLtrending for the week of 26 September 2022 #physics #trending
https://t.co/SFmeG8jmI2
https://t.co/gCZvGcy3Aa
https://t.co/fj5Ersv7JT
https://t.co/FVMa5ngciJ

[Physical Review Letters @PhysRevLett]

A “filtering” algorithm allows information engines to perform efficiently even when they are subjected to high noise.
Letter: https://t.co/FVMa5ngciJ
Synopsis: https://t.co/QnvYUEkOG8

[Tushar Saha @TusharKSaha]

@samsuresh94 @Cancers_MDPI Congratulations Samyuktha!

[SFU Science @SFU_Science]

👏👏So proud of our Faculty of Science @RSCTheAcademies 2021 inductees @HoldcroftSteven (@SFUChemistry ) & John Bechhoefer (@SFUPhysics ) Read about their outstanding contributions to science here: https://t.co/80bUdYWWjq

[David Sivak @DavidASivak]

Commentary on our recent work on information engines, from @HeinerLinke and Juan Parrondo
https://t.co/hDRfO8Bqta

[Simon Fraser University @SFU]

Researchers from @SFU_Science have designed the world’s fastest information-fuelled engine. The remarkably fast engine could lead to significant advances in computing technology. https://t.co/BIu7e45gRn

[David Sivak @DavidASivak]

Out in @PNASNews: collaboration of MSc @jnlucero96 and postdoc @Nikthebigfish with experimentalists @TusharKSaha and John Bechhoefer, to optimize an information engine, lifting a weight against gravity fueled solely by information

https://t.co/mBhsbbRqLU
https://t.co/MAkadkFkbA

[Tushar Saha @TusharKSaha]

World’s fastest information-fuelled engine designed by SFU researchers - SFU News - Simon Fraser University https://t.co/yd9kPSPnuQ

[Tushar Saha @TusharKSaha]

The article is finally out 🎉🎉@jnlucero96 @Nikthebigfish
Maximizing power and velocity of an information engine https://t.co/OdhhpjXgk2