LOZMANIndependent Research Center

Research & Outputs

Outputs are grouped by how they relate to LOZMAN. Each entry states its editorial status.

Works attributed to LOZMAN

Works that LOZMAN recognises as its own outputs.

Three Sampling Protocols for Sleeping Beauty: Why the Problem Is Underdetermined, and by Exactly How Much

The Sleeping Beauty problem analysed as a choice of probability measure on the space of centred worlds. Four principles are shown to be jointly inconsistent; the thirder, Lewisian-halfer and double-halfer positions are exactly the three ways of rejecting one of them, each optimal under a distinct sampling protocol.

Attribution
LOZMAN
Status
Manuscript
Classification
Work of LOZMAN

Joint work of the members

Resolving the Sleeping Beauty Paradox: A Mathematical Analysis of Subjective and Objective Probabilities

A mathematical analysis of the Sleeping Beauty paradox, addressing the relation between subjective and objective probabilities.

Authors
Marco Fronzi, Fabrizio Lombardi, Lorenzo Mandelli
Status
Manuscript deposited on PhilArchive
Classification
Joint work of the members
Repository record
https://philarchive.org/rec/FRORTS

Authors are listed in the original order of the record.

Individual publications of members

These works are personal publications of the individual members and are not outputs of LOZMAN.

Marco Fronzi

Selected publications of Marco Fronzi. A complete list is available on his ORCID record.

  1. Quantum-assisted machine learning screening for sustainable anode discovery in lithium-ion batteries. Journal of Power Sources, 2025. https://doi.org/10.1016/j.jpowsour.2025.237347 Published — journal article
  2. Kolmogorov-Arnold Networks in Thermoelectric Materials Design. arXiv, 2025. https://doi.org/10.48550/arXiv.2510.02681 Preprint
  3. Silicon-Based Anodes for Li Batteries: Thermodynamics, Structural Analysis, and Li Diffusion. The Journal of Physical Chemistry Letters, 2023. https://doi.org/10.1021/acs.jpclett.3c02585 Published — journal article
  4. Evaluation of Machine Learning Interatomic Potentials for Gold Nanoparticles—Transferability towards Bulk. Nanomaterials, 2023. https://doi.org/10.3390/nano13121832 Published — journal article
  5. Active Learning in Bayesian Neural Networks for Bandgap Predictions of Novel Van der Waals Heterostructures. Advanced Intelligent Systems, 2021. https://doi.org/10.1002/aisy.202100080 Published — journal article
  6. Deterministic Nanopatterning of Diamond Using Electron Beams. ACS Nano, 2018. https://doi.org/10.1021/acsnano.8b00354 Published — journal article
  7. Design of Novel Visible Light Active Photocatalyst Materials: Surface Modified TiO2. Advanced Materials, 2016. https://doi.org/10.1002/adma.201504894 Published — journal article
  8. Ab initio investigation of defect formation at ZrO2-CeO2 interfaces. Physical Review B, 2012. https://doi.org/10.1103/PhysRevB.86.085407 Published — journal article
  9. Stability and morphology of cerium oxide surfaces in an oxidizing environment: A first-principles investigation. The Journal of Chemical Physics, 2009. https://doi.org/10.1063/1.3191784 Published — journal article