Thermodynamics for quantum systems:
Quantum thermodynamics frameworks have been developed for systems subjected to repeated interactions -- not only using effective time-dependent interactions [Phys. Rev. X 7, 021003 (2017)] but also using scattering theory [PRX Quantum 2, 020312 (2021)] -- as well as for systems continuously interacting with reservoir and described by coherent quantum master equations [Entropy 18, 447 (2016) & Phys. Rev. E. 99, 042142 (2019) & New J. Phys. 22, 103039 (2020)].
Thermodynamics for small electronic circuits subjected to thermal noise:
We established such a theory for linear [Phys. Rev. X 10, 031005 (2020)] and nonlinear circuits [ Phys. Rev. X 10, 031005 (2020)], including CMOS-based circuits used in the latest computers.
Thermodynamics for chemical reaction networks:
We established such as theory for deterministic [Phys. Rev. X 6, 041064 (2016)] and stochastic [J. Chem. Phys. 149, 245101 (2018)] chemical dynamics. We use it to study the efficiency of dissipative synthesis [Nature Communications 10, 3865 (2019)] and -- after including diffusion -- to study the energetics of Turing patterns [Phys. Rev. Lett. 121, 108301 (2018)], chemical waves [J. Chem. Phys. 151, 234103 (2019)] and chemical cloaking [Phys. Rev. E 101, 060102(R) (2020)]. We also extended the theory to nonideal solutions [J. Chem. Phys. 154, 094114 (2021)], photochemical drives [J. Chem. Phys. 155, 114101 (2021)] and non-elementary reactions [New J. Phys. 20, 042002 (2018) & New J. Phys. 22, 093040 (2020)].
Collective effects boosting performance:
We showed that nonequilibrium phase transitions generated by interactions among thermodynamic machines can improving the performance of energy conversion [EPL 120, 30009 (2017) & Phys. Rev. Lett. 124, 250603 (2020)], in particular synchronization [Phys. Rev. X 8, 031056 (2018) & Phys. Rev. E 99, 022135 (2019)].
Thermodynamics of information processing:
We identified strict criteria for Maxwell demons mechanisms [Phys. Rev. E 103, 032118 (2021)] and majority logic as a strategy to improve erasure efficiencies [Entropy 21, 284 (2019)].
We also developed a theory of quantum information flows [Phys. Rev. Lett. 122, 150603 (2019)] and highlighted the information origin of quantum dissipation [Phys. Rev. Lett. 123, 200603 (2019)].
Fundamental thermodynamic bounds:
We discovered a universal trade-off (expressed solely in terms of the Boltzmann constant) between the time to realize a process and the dissipation needed to power it [Phys. Rev. Lett. 125, 120604 (2020)]. We also unified various uncertainty relations bounding the accuracy of a process by its dissipation [New J. Phys. 22, 053046 (2020)].
Stochastic thermodynamics:
We demonstrated the fundamental role that conservation laws have in shaping dissipation [New J. Phys. 20, 023007 (2018)].
We established a unifying perspective on fluctuation theorems [Entropy 20, 635 (2018)].
We showed how to extend stochastic thermodynamics when the interaction between the system and the reservoirs is strong [Phys. Rev. E 95, 062101 (2017) & Phys. Rev. B 97, 205405 (2018) & Phys. Rev. E 101, 050101(R) (2020)].
We found linear response methodologies valid far-from-equilibrium [New J. Phys. 23, 093003 (2021) & Phys. Rev. Lett. 117, 180601 (2016)].
We designed thermodynamically consistent coarse-grained schemes [Phys. Rev. Lett. 119, 240601 (2017) & Phys. Rev. E 103, 042114 (2021)].
