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Alexander B. Boyd
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2020 – today
- 2020
- [i11]Alexander B. Boyd, James P. Crutchfield, Mile Gu:
Thermodynamic Machine Learning through Maximum Work Production. CoRR abs/2006.15416 (2020) - [i10]Kyle J. Ray, Gregory Wimsatt, Alexander B. Boyd, James P. Crutchfield:
Non-Markovian Momentum Computing: Universal and Efficient. CoRR abs/2010.01152 (2020) - [i9]Gregory W. Wimsatt, Alexander B. Boyd, Paul M. Riechers, James P. Crutchfield:
Refining Landauer's Stack: Balancing Error and Dissipation When Erasing Information. CoRR abs/2011.14235 (2020)
2010 – 2019
- 2019
- [i8]Gregory Wimsatt, Olli-Pentti Saira, Alexander B. Boyd, Matthew H. Matheny, Siyuan Han, Michael L. Roukes, James P. Crutchfield:
Harnessing Fluctuations in Thermodynamic Computing via Time-Reversal Symmetries. CoRR abs/1906.11973 (2019) - [i7]Paul M. Riechers, Alexander B. Boyd, Gregory Wimsatt, James P. Crutchfield:
Balancing Error and Dissipation in Highly-Reliable Computing. CoRR abs/1909.06650 (2019) - 2018
- [i6]Alexander B. Boyd, Ayoti Patra, C. Jarzynski, James P. Crutchfield:
Shortcuts to Thermodynamic Computing: The Cost of Fast and Faithful Erasure. CoRR abs/1812.11241 (2018) - 2017
- [i5]Alexander B. Boyd, Dibyendu Mandal, James P. Crutchfield:
Above and Beyond the Landauer Bound: Thermodynamics of Modularity. CoRR abs/1708.03030 (2017) - 2016
- [i4]Alexander B. Boyd, Dibyendu Mandal, James P. Crutchfield:
Correlation-powered Information Engines and the Thermodynamics of Self-Correction. CoRR abs/1606.08506 (2016) - [i3]Alexander B. Boyd, Dibyendu Mandal, James P. Crutchfield:
Leveraging Environmental Correlations: The Thermodynamics of Requisite Variety. CoRR abs/1609.05353 (2016) - [i2]Alexander B. Boyd, Dibyendu Mandal, Paul M. Riechers, James P. Crutchfield:
Transient Dissipation and Structural Costs of Physical Information Transduction. CoRR abs/1612.08616 (2016) - 2015
- [i1]Dibyendu Mandal, Alexander B. Boyd, James P. Crutchfield:
Memoryless Thermodynamics? A Reply. CoRR abs/1508.03311 (2015)
Coauthor Index
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