Profile
Gianni Martire
Chairman and chief executive officer of Applied Physics
Martire co-authored Introducing Physical Warp Drives with Alexey Bobrick in 2021. The paper treats warp geometries as moving shells of matter and calculates examples with different energy requirements, including slower-than-light spherical configurations with positive energy. It explicitly retains the need for propulsion. His contribution here is to a theoretical framework for comparing spacetime models, not a report of a constructed drive.
Affiliations
- Applied Physics, PBC
Channels
Bibliography
A bibliography listing does not establish authorship. Credits appear under attribution.
Published bibliography entries: 2. Showing 1–2 of 2.
Listed work
Paper · 2021
Introducing physical warp drives
- Alexey Bobrick(Author)
- Gianni Martire(Author)
Bobrick and Martire model warp spacetimes as moving shells surrounding a flat passenger region, rather than as self-propelling engines. Their 2021 paper develops spherical configurations with positive energy at speeds below light, allowing gravity outside the shell and slower clocks inside relative to distant observers moving with it. They also explore changes to shape, interior volume and clock rates in other geometries. Flattening an Alcubierre configuration reduces its calculated negative-energy requirement, but the superluminal examples still violate the averaged null energy condition, a restriction on energy along light rays. Even their extremely thin examples that meet selected quantum inequalities retain this problem. Changing a shell’s velocity requires propulsion; a stationary geometry alone supplies no acceleration mechanism.
Listed work
Paper · 2024
Warp Factory: A Numerical Toolkit for the Analysis and Optimization of Warp Drive Geometries
- Christopher Helmerich(Author)
- Jared Fuchs(Author)
- Alexey Bobrick(Author)
- Brandon Melcher(Author)
- Luke Sellers(Author)
- Gianni Martire(Author)
Helmerich and colleagues present Warp Factory, a MATLAB toolkit that computes stress-energy tensors from spacetime metrics using second- and fourth-order finite differences. Its analyzer samples null and timelike vectors because nonnegative energy density for one stationary observer does not establish the energy conditions. A genetic optimization example starts with an Alcubierre bubble of 20 metres radius moving at 0.5c and reduces the integrated null energy condition (NEC) violation measure to 2.1 × 10⁴⁴. The optimization retains fixed passenger and outer boundaries, limiting its ability to remove violations rooted in those boundaries. Their numerical reconstruction of a Lentz geometry also shows weak-condition violations; the authors separately identify smoothing-dependent negative-energy points, preserving the distinction between that reconstruction and the original analytic construction.