Memoryless Thermodynamics? A Reply. - Dibyendu Mandal; Alexander B. Boyd; James P. Crutchfield (CoRR, 2015)

Correlation-powered Information Engines and the Thermodynamics of Self-Correction. - Alexander B. Boyd; Dibyendu Mandal; James P. Crutchfield (CoRR, 2016)

Leveraging Environmental Correlations: The Thermodynamics of Requisite Variety. - Alexander B. Boyd; Dibyendu Mandal; James P. Crutchfield (CoRR, 2016)

Transient Dissipation and Structural Costs of Physical Information Transduction. - Alexander B. Boyd; Dibyendu Mandal; Paul M. Riechers; James P. Crutchfield (CoRR, 2016)

Above and Beyond the Landauer Bound: Thermodynamics of Modularity. - Alexander B. Boyd; Dibyendu Mandal; James P. Crutchfield (CoRR, 2017)

Shortcuts to Thermodynamic Computing: The Cost of Fast and Faithful Erasure. - Alexander B. Boyd; Ayoti Patra; C. Jarzynski; James P. Crutchfield (CoRR, 2018)

Harnessing Fluctuations in Thermodynamic Computing via Time-Reversal Symmetries. - Gregory Wimsatt; Olli-Pentti Saira; Alexander B. Boyd; Matthew H. Matheny; Siyuan Han; Michael L. Roukes; James P. Crutchfield (CoRR, 2019)

Balancing Error and Dissipation in Highly-Reliable Computing. - Paul M. Riechers; Alexander B. Boyd; Gregory Wimsatt; James P. Crutchfield (CoRR, 2019)

Thermodynamic Machine Learning through Maximum Work Production. - Alexander B. Boyd; James P. Crutchfield; Mile Gu (CoRR, 2020)

Non-Markovian Momentum Computing: Universal and Efficient. - Kyle J. Ray; Gregory Wimsatt; Alexander B. Boyd; James P. Crutchfield (CoRR, 2020)

Refining Landauer's Stack: Balancing Error and Dissipation When Erasing Information. - Gregory W. Wimsatt; Alexander B. Boyd; Paul M. Riechers; James P. Crutchfield (CoRR, 2020)