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Accuracy,written into top-journal acknowledgements

We don't pad the page with 50,000 cases. We show only results that stand up to scrutiny. Every dataset comes with a Computational Traceability Report.

Acknowledgement Wall

Acknowledgement Wall
Nature Materials
38.5 IF
High-entropy alloy · NEB transition state
Advanced Energy Materials
24.4 IF
Li-ion cathode · AIMD
Advanced Science
14.3 IF
Halide perovskites
Chemical Engineering Journal
13.3 IF
Electrocatalytic HER/OER
J. Materials Chemistry A
10.7 IF
Solid electrolytes
Nano Letters
9.6 IF
2D material interfaces
npj Computational Materials
9.4 IF
Machine-learning potentials
Acta Materialia
8.3 IF
Alloy phase stability

* Impact factors are demo data; replace with real acknowledgement screenshots and permissions before launch.

Case review: Prof. Lu's group

Case Study — Nature Materials

A high-entropy alloy magnetic-order convergence problem the previous provider failed to solve in two months — SwiftMater delivered it in nine days.

D1

Final review proposal

Rejected the original faulty INCAR parameters and rebuilt the calculation plan (accurate)

D3

SQS modeling

High-entropy alloy model completed; PI confirmed the same day (fast)

D7

NEB completed

Magnetic-order convergence cracked; energy barrier passed on the first run (fast + accurate)

D9

Delivery & acknowledgement

Data + traceability report delivered; the research group acknowledges us in their paper (result)

"

Dr. Bian's team's command of convergence criteria was key to getting our Nature Materials paper accepted.

— Prof. Lu's research group

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