Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming | Paper Citation Record

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This paper cites https://github.com/AdittyaPal/thermodynamicsWithILP.git, 2024.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming https://github.com/AdittyaPal/thermodynamicsWithILP.git, 2024

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This paper cites http://mod.imada.sdu.dk, 2024.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming http://mod.imada.sdu.dk, 2024

Reference 2

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This paper cites https://github.com/openbabel/openbabel, 2024.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming https://github.com/openbabel/openbabel, 2024

Reference 3

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This paper cites https://github.com/AdittyaPal/thermodynamicsWithILP/blob/5f7aed70fe8706bbe0ffc2efedd68316d44e0f42/listOfSolutions.pdf, 2025.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming https://github.com/AdittyaPal/thermodynamicsWithILP/blob/5f7aed70fe8706bbe0ffc2efedd68316d44e0f42/listOfSolutions.pdf, 2025

Reference 4

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Unresolved cited work

Reference 5

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Observation 4ef5b5da-a47d-4103-b3ba-a055f7f99994 · outbound

This paper cites L., Flamm, C., Merkle, D., and Stadler, P.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming L., Flamm, C., Merkle, D., and Stadler, P

Reference 6

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This paper cites L., Flamm, C., Merkle, D., and Stadler, P.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming L., Flamm, C., Merkle, D., and Stadler, P

Reference 7

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This paper cites Circuit theory for C hemical R eaction N etworks.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Circuit theory for C hemical R eaction N etworks

Reference 8

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This paper cites L., Flamm, C., Merkle, D., and Stadler, P.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming L., Flamm, C., Merkle, D., and Stadler, P

Reference 9

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This paper cites Extended tight-binding quantum chemistry methods.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Extended tight-binding quantum chemistry methods

Reference 10

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This paper cites W., Redkar, N.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming W., Redkar, N

Reference 11

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Unresolved cited work

Reference 12

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Observation c250f264-4f3b-49ca-b2e9-f397981e2953 · outbound

This paper cites M., Patel, H.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming M., Patel, H

Reference 13

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This paper cites Barking up the right tree: an approach to search over molecule synthesis DAGs.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Barking up the right tree: an approach to search over molecule synthesis DAGs

Reference 14

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Unresolved cited work

Reference 15

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This paper cites and Fiaschi, L.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming and Fiaschi, L

Reference 16

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This paper cites G., Johnson, M.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming G., Johnson, M

Reference 17

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Unresolved cited work

Reference 18

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Observation c51acbe3-e34e-4803-9086-2b9e112a6218 · outbound

This paper cites coin-or/cbc: Release releases/2.10.12, August 2024.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming coin-or/cbc: Release releases/2.10.12, August 2024

Reference 19

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This paper cites S., Broadbelt, L.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming S., Broadbelt, L

Reference 20

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This paper cites Analysis of mass-action systems by split network translation.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Analysis of mass-action systems by split network translation

Reference 21

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This paper cites A linear programming approach to weak reversibility and linear conjugacy of chemical reaction networks.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming A linear programming approach to weak reversibility and linear conjugacy of chemical reaction networks

Reference 22

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Unresolved cited work

Reference 23

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This paper cites and Thrush, K.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming and Thrush, K

Reference 24

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This paper cites and Jiang, X.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming and Jiang, X

Reference 25

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This paper cites S., et al.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming S., et al

Reference 26

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This paper cites The common optimization interface for operations research: Promoting open-source software in the operations research community.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming The common optimization interface for operations research: Promoting open-source software in the operations research community

Reference 27

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This paper cites A uto M e K in2021: An open-source program for automated reaction discovery.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming A uto M e K in2021: An open-source program for automated reaction discovery

Reference 28

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This paper cites J., Dwaraknath, S.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming J., Dwaraknath, S

Reference 29

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming and Castellana, M

Reference 30

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Machine learning for molecular simulation

Reference 31

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming A., Mucelini, J., Soares, M

Reference 32

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Unresolved cited work

Reference 33

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming and Gagliardi, A

Reference 34

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming and Esposito, M

Reference 35

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming K., Casewit, C

Reference 36

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming C., and Hatzimanikatis, V

Reference 37

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming and Seifert, U

Reference 38

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming M., Strutz, J., Broadbelt, L

Reference 39

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming and Hangos, K

Reference 40

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This paper cites Quantum mechanics and machine learning synergies: Graph attention neural networks to predict chemical reactivity.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Quantum mechanics and machine learning synergies: Graph attention neural networks to predict chemical reactivity

Reference 41

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This paper cites Exposing the limitations of molecular machine learning with activity cliffs.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Exposing the limitations of molecular machine learning with activity cliffs

Reference 42

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Challenges for machine learning force fields in reproducing potential energy surfaces of flexible molecules

Reference 43

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Unresolved cited work

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Unresolved cited work

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming and Hutchison, G

Reference 46

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming A., Silcock, J

Reference 47

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming Unresolved cited work

Reference 48

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This paper cites S., Nebgen, B.

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming S., Nebgen, B

Reference 49

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Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming write newline

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