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optimal_design listlengths 80k 80k | inlet_velocity float64 -0.1 -0.03 | max_power_dissipation float64 47.7 75 | volfrac float64 0.25 0.7 | mean_temperature float32 7.26 71.3 | power_dissipation float32 46.3 75.4 |
|---|---|---|---|---|---|
[0.0003150000120513141,0.00013840000610798597,0.0000583200016990304,0.000015499999790336005,6.967999(...TRUNCATED) | -0.0705 | 50.1 | 0.67 | 9.733 | 50.261902 |
[0.0004594000056385994,0.00017010000010486692,0.00005848000000696629,0.000017210000805789605,6.76799(...TRUNCATED) | -0.0901 | 60.5 | 0.64 | 7.92828 | 60.225498 |
[7.675999995626626e-7,1.0109999948326731e-6,1.690999965830997e-6,2.998999889314291e-6,4.730999989988(...TRUNCATED) | -0.0594 | 59.2 | 0.34 | 15.7451 | 59.284 |
[1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0(...TRUNCATED) | -0.0568 | 66.3 | 0.63 | 12.0503 | 65.0952 |
[1.4460000556937302e-6,8.247999971899844e-7,9.455000054003904e-7,1.6069999446699512e-6,3.68099995284(...TRUNCATED) | -0.0613 | 59.1 | 0.37 | 13.6411 | 59.349098 |
[0.000020900000890833326,1.3139999737177277e-6,2.767000069070491e-7,2.0119999533108057e-7,1.90299999(...TRUNCATED) | -0.0458 | 52.7 | 0.68 | 14.8519 | 52.149601 |
[0.000010660000043571927,6.210999799804995e-6,5.1649999477376696e-6,4.759000148624182e-6,6.847999884(...TRUNCATED) | -0.0647 | 63.6 | 0.55 | 10.9396 | 63.664902 |
[8.371999683731701e-6,7.97200027591316e-6,9.053999747266062e-6,0.000012460000107239466,0.00002207999(...TRUNCATED) | -0.092 | 59.1 | 0.43 | 10.6628 | 59.2715 |
[0.00003147000097669661,0.00003212999945390038,0.00004484999954001978,0.00003470999945420772,0.00001(...TRUNCATED) | -0.0728 | 70.7 | 0.44 | 10.6933 | 70.776001 |
[0.00001083999995898921,7.103999905666569e-6,6.37399989500409e-6,5.723999947804259e-6,6.700000085402(...TRUNCATED) | -0.0776 | 63.5 | 0.44 | 10.5456 | 63.519501 |
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MTO2D v0
EngiBench-compatible MTO2D dataset published as
IDEALLab/mto_2d_v0. It contains 5,666 converged (400, 200)
half-domain designs with train/val/test splits of
4,249/283/1,134.
Objectives: mean_temperature and power_dissipation are historical source-optimization
labels logged before the final MMA/Heaviside update. The stored app/200/gamma
design is the subsequent post-update density field.
For the EngiBench problem, a frozen simulator uses the following physics:
q=0.01, alphaMax=5025200,
Heaviside=59.8, with design updates disabled.
optimal_design is a flattened float list of length
80,000, reshaping to (400, 200) and symmetrical about the vertical axis so as to yield a (400, 400) heat sink.
Citation
@article{drake2026quantize,
title={To Quantize or Not to Quantize: Effects on Generative Models for Topology Optimization Problems},
author={Drake, Arthur and Chen, Qiuyi and Wang, Jun and Nejat, Ardalan and Guest, James K and Fuge, Mark},
journal={Journal of Mechanical Design},
volume={148},
number={10},
pages={101704},
year={2026},
publisher={American Society of Mechanical Engineers}
}
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