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DOE OSTI · 1909542

Data-Driven Model for Fire Spread using Deep Neural Networks

Godinez Vazquez, Humberto C.·Oliveto, Julia Andre·Josephson, Alexander Jon·Reisner, Jon Michael·Dubey, Manvendra Krishna
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Godinez Vazquez, Humberto C., Oliveto, Julia Andre, Josephson, Alexander Jon, Reisner, Jon Michael, Dubey, Manvendra Krishna. 2023-01-12. Data-Driven Model for Fire Spread using Deep Neural Networks. https://www.osti.gov/biblio/1909542

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DOE OSTI2024

Global Magni4icence, or: 4G Networks

The global magnificent four theory is the homological version of a maximally supersymmetric $(8+1)$-dimensional gauge theory on a Calabi-Yau fourfold fibered over a circle. In the case of a toric fourfold we conjecture the formula for its twisted Witten index. String-theoretically we count the BPS states of a system of $D0$-$D2$-$D4$-$D6$-$D8$-branes on the Calabi-Yau fourfold in the presence of a large Neveu-Schwarz $B$-field. Mathematically, we develop the equivariant $K$-theoretic DT4 theory, by constructing the four-valent vertex with generic plane partition asymptotics. Physically, the vertex is a supersymmetric localization of a non-commutative gauge theory in $8+1$ dimensions.

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