Paper Citation Record · LEDGER

Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies

As of 18 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2606.30540.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.30540 v1

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measured 52 of 52 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-30T04:49:54.433509Z

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Outbound references

Observation 869819eb-099f-424b-aa75-64b1999dc33a · outbound

This paper cites Zhang, D.-W.

Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Zhang, D.-W

Reference 1

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Unresolved cited work

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Unresolved cited work

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Unresolved cited work

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Unresolved cited work

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Unresolved cited work

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Unresolved cited work

Reference 8

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Observation a1469374-9e6b-43a2-b3c5-6b749417aa35 · outbound

This paper cites Qureshi, M.

Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Qureshi, M

Reference 9

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Observation 69d90354-dd2b-4739-8ddd-9c4c8f148ab3 · outbound

This paper cites Yeh, S.-K.

Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Yeh, S.-K

Reference 10

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Cantor, I

Reference 11

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This paper cites Hsu, C.-W.

Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Hsu, C.-W

Reference 12

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Unresolved cited work

Reference 13

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Observation e94547af-901a-4361-b395-77a5376ae642 · outbound

This paper cites Iwan, C.-M.

Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Iwan, C.-M

Reference 14

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This paper cites Storr, L.

Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Storr, L

Reference 15

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This paper cites Storr, C.

Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Storr, C

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Unresolved cited work

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This paper cites Sarker, T.

Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Sarker, T

Reference 18

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Divilov, H

Reference 19

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Unresolved cited work

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Observation 4caf549f-cc81-470e-b7ff-852c176f92bc · outbound

This paper cites Kretschmer and P.

Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Kretschmer and P

Reference 21

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Unresolved cited work

Reference 22

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Zunger, S.-H

Reference 23

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Van De Walle, M

Reference 24

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Wang, G.-Y

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Unresolved cited work

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Xiong, B.-W

Reference 27

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Unresolved cited work

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Hill, The elastic behaviour of a crystalline aggregate, Proceedings of the Physical Society

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Ravindran, L

Reference 31

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Kresse and J

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Kresse and J

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Curtarolo, W

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Unresolved cited work

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Chen and C

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Bakhtiari, C

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Pang and A

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Momma and F

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Kaufmann, D

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Fawcett, Spin-density-wave antiferromagnetism in chromium, Reviews of Modern Physics60, 209 (1988)

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Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies Chakrabarty, S

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