Table 2 The set of alloys that lie on the tri-objective strength-ductility Pareto-front identified by the proposed framework.
From: Bayesian optimization with active learning of design constraints using an entropy-based approach
Mo | Nb | Ti | V | W | B/G | C12 − C44 (GPa) | σy (MPa) |
---|---|---|---|---|---|---|---|
0.073 | 0.299 | 0.002 | 0.37 | 0.256 | 3.06 | 91.3 | 529 |
0.093 | 0.407 | 0.002 | 0.27 | 0.228 | 3.15 | 94.7 | 466 |
0.154 | 0.289 | 0.008 | 0.322 | 0.227 | 2.99 | 91.5 | 524 |
0.051 | 0.399 | 0.009 | 0.374 | 0.167 | 3.35 | 95.6 | 408 |
0.093 | 0.463 | 0.028 | 0.301 | 0.115 | 3.45 | 93.6 | 333 |
0.117 | 0.355 | 0.008 | 0.332 | 0.188 | 3.16 | 93.0 | 471 |
0.151 | 0.277 | 0.013 | 0.301 | 0.258 | 2.91 | 90.5 | 535 |
0.084 | 0.489 | 0.03 | 0.319 | 0.078 | 3.56 | 93.4 | 282 |
0.129 | 0.584 | 0.025 | 0.233 | 0.029 | 3.71 | 96.0 | 209 |
0.082 | 0.519 | 0.009 | 0.348 | 0.042 | 3.69 | 94.7 | 247 |
0.111 | 0.37 | 0.011 | 0.341 | 0.167 | 3.23 | 91.8 | 444 |
0.009 | 0.313 | 0.029 | 0.372 | 0.277 | 3.08 | 90.3 | 494 |
0.18 | 0.29 | 0.002 | 0.333 | 0.195 | 3.04 | 92.3 | 516 |
0.125 | 0.553 | 0.019 | 0.238 | 0.065 | 3.54 | 93.8 | 257 |
0.077 | 0.614 | 0.026 | 0.198 | 0.085 | 3.71 | 96.6 | 203 |
0.078 | 0.375 | 0.011 | 0.429 | 0.107 | 3.43 | 93.7 | 361 |
0.096 | 0.655 | 0.024 | 0.195 | 0.030 | 3.83 | 95.8 | 154 |
0.047 | 0.337 | 0.015 | 0.342 | 0.259 | 3.07 | 90.1 | 500 |
0.143 | 0.343 | 0.006 | 0.328 | 0.180 | 3.12 | 91.2 | 479 |
0.116 | 0.421 | 0.015 | 0.345 | 0.103 | 3.37 | 92.0 | 366 |
0.075 | 0.37 | 0.011 | 0.39 | 0.154 | 3.27 | 92.5 | 414 |