Built on

D. Hilbert, Mathematical Problems
1902
Earlier work this paper cites.
K. Bull, Y.-H. He, V. Jejjala and C. Mishra, Getting CICY High
Original
1903
Earlier work this paper cites.
J. Halverson, B. Nelson and F. Ruehle, Branes with Brains: Exploring String Vacua with Deep Reinforcement Learning
Original
1903
Earlier work this paper cites.
A. Cole, A. Schachner and G. Shiu, Searching the Landscape of Flux Vacua with Genetic Algorithms
Original
1907
Earlier work this paper cites.
J. V. Matijasevič, The Diophantineness of enumerable sets
1970
Earlier work this paper cites.
M. Berkooz, M. R. Douglas and R. G. Leigh, Branes intersecting at angles
1996
Earlier work this paper cites.
M. Cvetic, G. Shiu and A. M. Uranga, Chiral four-dimensional N=1 supersymmetric type 2A orientifolds from intersecting D6 branes
2001
Earlier work this paper cites.
M. Cvetic, G. Shiu and A. M. Uranga, Three family supersymmetric standard - like models from intersecting brane worlds
2001
Earlier work this paper cites.
M. R. Douglas, The Statistics of string / M theory vacua
2003
Earlier work this paper cites.
R. Deen, Y.-H. He, S.-J. Lee and A. Lukas, Machine Learning String Standard Models
Original
2003
Earlier work this paper cites.
H. Otsuka and K. Takemoto, Deep learning and k-means clustering in heterotic string vacua with line bundles
Original
2003
Earlier work this paper cites.
S. Ashok and M. R. Douglas, Counting flux vacua
2004
Earlier work this paper cites.

Similar

D. Lüst, Intersecting brane worlds—a path to the standard model?
2004
Cited alongside, same era.
M. Cvetic, I. Papadimitriou and G. Shiu, Supersymmetric three family SU(5) grand unified models from type IIA orientifolds with intersecting D6-branes
2004
Cited alongside, same era.
R. Blumenhagen, M. Cvetic, P. Langacker and G. Shiu, Toward Realistic Intersecting D-Brane Models
2005
Cited alongside, same era.
F. Marchesano, G. Shiu and L.-T. Wang, Model building and phenomenology of flux-induced supersymmetry breaking on D3-branes
2005
Cited alongside, same era.
F. Gmeiner, R. Blumenhagen, G. Honecker, D. Lust and T. Weigand, One in a billion: MSSM-like D-brane statistics
2006
Cited alongside, same era.
M. R. Douglas and W. Taylor, The landscape of intersecting brane models

Then

M. Cirafici, Persistent Homology and String Vacua
Original
2016
Later among the works it cites.
J. Carifio, J. Halverson, D. Krioukov and B. D. Nelson, Machine Learning in the String Landscape
Original
2017
Later among the works it cites.
F. Ruehle, Evolving neural networks with genetic algorithms to study the String Landscape
Original
2017
Later among the works it cites.
D. Krefl and R.-K. Seong, Machine Learning of Calabi-Yau Volumes
Original
2017
Later among the works it cites.
K. Bull, Y.-H. He, V. Jejjala and C. Mishra, Machine Learning CICY Threefolds
Original
2018

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

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Reading the bibliography…

2021

Breeding realistic D-brane models

Loges, Gregory J., Shiu, Gary

Understand

Intersecting branes provide a useful mechanism to construct particle physics models from string theory with a wide variety of desirable characteristics.

The landscape of such models can be enormous, and navigating towards regions which are most phenomenologically interesting is potentially challenging.
Machine learning techniques can be used to efficiently construct large numbers of consistent and phenomenologically desirable models.
In this work we phrase the problem of finding consistent intersecting D-brane models in terms of genetic algorithms, which mimic natural selection to evolve a population collectively towards optimal solutions.

Built on

D. Hilbert, Mathematical Problems
1902
Earlier work this paper cites.
K. Bull, Y.-H. He, V. Jejjala and C. Mishra, Getting CICY High
Original
1903
Earlier work this paper cites.
J. Halverson, B. Nelson and F. Ruehle, Branes with Brains: Exploring String Vacua with Deep Reinforcement Learning
Original
1903
Earlier work this paper cites.
A. Cole, A. Schachner and G. Shiu, Searching the Landscape of Flux Vacua with Genetic Algorithms
Original
1907
Earlier work this paper cites.
J. V. Matijasevič, The Diophantineness of enumerable sets
1970
Earlier work this paper cites.
M. Berkooz, M. R. Douglas and R. G. Leigh, Branes intersecting at angles
1996
Earlier work this paper cites.
M. Cvetic, G. Shiu and A. M. Uranga, Chiral four-dimensional N=1 supersymmetric type 2A orientifolds from intersecting D6 branes
2001
Earlier work this paper cites.
M. Cvetic, G. Shiu and A. M. Uranga, Three family supersymmetric standard - like models from intersecting brane worlds
2001
Earlier work this paper cites.
M. R. Douglas, The Statistics of string / M theory vacua
2003
Earlier work this paper cites.
R. Deen, Y.-H. He, S.-J. Lee and A. Lukas, Machine Learning String Standard Models
Original
2003
Earlier work this paper cites.
H. Otsuka and K. Takemoto, Deep learning and k-means clustering in heterotic string vacua with line bundles
Original
2003
Earlier work this paper cites.
S. Ashok and M. R. Douglas, Counting flux vacua
2004
Earlier work this paper cites.

Similar

D. Lüst, Intersecting brane worlds—a path to the standard model?
2004
Cited alongside, same era.
M. Cvetic, I. Papadimitriou and G. Shiu, Supersymmetric three family SU(5) grand unified models from type IIA orientifolds with intersecting D6-branes
2004
Cited alongside, same era.
R. Blumenhagen, M. Cvetic, P. Langacker and G. Shiu, Toward Realistic Intersecting D-Brane Models
2005
Cited alongside, same era.
F. Marchesano, G. Shiu and L.-T. Wang, Model building and phenomenology of flux-induced supersymmetry breaking on D3-branes
2005
Cited alongside, same era.
F. Gmeiner, R. Blumenhagen, G. Honecker, D. Lust and T. Weigand, One in a billion: MSSM-like D-brane statistics
2006
Cited alongside, same era.
M. R. Douglas and W. Taylor, The landscape of intersecting brane models

Then

M. Cirafici, Persistent Homology and String Vacua
Original
2016
Later among the works it cites.
J. Carifio, J. Halverson, D. Krioukov and B. D. Nelson, Machine Learning in the String Landscape
Original
2017
Later among the works it cites.
F. Ruehle, Evolving neural networks with genetic algorithms to study the String Landscape
Original
2017
Later among the works it cites.
D. Krefl and R.-K. Seong, Machine Learning of Calabi-Yau Volumes
Original
2017
Later among the works it cites.
K. Bull, Y.-H. He, V. Jejjala and C. Mishra, Machine Learning CICY Threefolds
Original
2018

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…

2006

Cited alongside, same era.

R. Blumenhagen, B. Kors, D. Lust and S. Stieberger, Four-dimensional String Compactifications with D-Branes, Orientifolds and Fluxes

2007

Cited alongside, same era.

M. Dine, E. Gorbatov and S. D. Thomas, Low energy supersymmetry from the landscape

2008

Cited alongside, same era.

Cambridge University Press, 2012

L. E. Ibáñez and A. M. Uranga, String Theory and Particle Physics: An Introduction to String Phenomenology · 2012

Cited alongside, same era.

J. Bergstra and Y. Bengio, Random search for hyper-parameter optimization

2012

Cited alongside, same era.

S. Abel and J. Rizos, Genetic Algorithms and the Search for Viable String Vacua

Original

2014

Cited alongside, same era.

W. Taylor and Y.-N. Wang, The F-theory geometry with most flux vacua

Original

2015

Cited alongside, same era.

Later among the works it cites.

A. Mütter, E. Parr and P. K. S. Vaudrevange, Deep learning in the heterotic orbifold landscape

Original

2019

Later among the works it cites.

A. Cole and G. Shiu, Topological Data Analysis for the String Landscape

Original

2019

Later among the works it cites.

D. Klaewer and L. Schlechter, Machine Learning Line Bundle Cohomologies of Hypersurfaces in Toric Varieties

Original

2019

Later among the works it cites.

11, 2021

Original

A. Cole, S. Krippendorf, A. Schachner and G. Shiu, Probing the Structure of String Theory Vacua with Genetic Algorithms and Reinforcement Learning · 2021

Closest in time.

11, 2021

Original

S. Abel, A. Constantin, T. R. Harvey and A. Lukas, String Model Building, Reinforcement Learning and Genetic Algorithms · 2021

Closest in time.

A. E. Faraggi, B. Percival, S. Schewe and D. Wojtczak, Satisfiability modulo theories and chiral heterotic string vacua with positive cosmological constant

2021

Closest in time.