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81 to 90 of 2,688 Results
yb2si2o7_1000c_2x2x2_ph.014.out
May 29, 2026 - Replication Data for: The infrared optical properties of ytterbium disilicate
Unknown - 1.4 MB - MD5: 174630db4a49c535411b0da9f3f08b56
yb2si2o7_1000c_2x2x2_ph.015.out
May 29, 2026 - Replication Data for: The infrared optical properties of ytterbium disilicate
Unknown - 1.1 MB - MD5: 883a4b48896f1b8d367f9ecf39c1966a
yb2si2o7_1000c_2x2x2_ph.016.out
May 29, 2026 - Replication Data for: The infrared optical properties of ytterbium disilicate
Unknown - 1.4 MB - MD5: d358532eaec61e51616894f417e33000
yb2si2o7_1000c_2x2x2_ph.017.out
May 29, 2026 - Replication Data for: The infrared optical properties of ytterbium disilicate
Unknown - 1.4 MB - MD5: a8acddf26f2e7e5829169d9b6075d042
yb2si2o7_1000c_2x2x2_ph.018.out
May 29, 2026 - Replication Data for: The infrared optical properties of ytterbium disilicate
Unknown - 1.1 MB - MD5: bc2edf9b48a8cc66ceeca507c8986da4
yb2si2o7_1000c_2x2x2_ph.019.out
May 29, 2026 - Replication Data for: The infrared optical properties of ytterbium disilicate
Unknown - 1.1 MB - MD5: 261d8450b911a60444be0708adff23ab
yb2si2o7_c2m_1000c_phG.out
May 29, 2026 - Replication Data for: The infrared optical properties of ytterbium disilicate
Unknown - 137.4 KB - MD5: abac594d0832201c5c6376bbed278617
yb2si2o7_c2m_1000c_phonopy.in
May 29, 2026 - Replication Data for: The infrared optical properties of ytterbium disilicate
Unknown - 2.4 KB - MD5: 54c4792176743f69c5fe460c1921e462
Data for: A Physics-Regularized Machine Learning Approach for Predicting Time–Temperature–Transformation Curves in Alloys: Application to Uranium-Based Alloys
Mar 30, 2026
Garg, Sunidhi; Jishnu Bhattacharyya; Vineet V. Joshi; Sean R. Agnew; Prasanna V. Balachandran, 2026, "Data for: A Physics-Regularized Machine Learning Approach for Predicting Time–Temperature–Transformation Curves in Alloys: Application to Uranium-Based Alloys", https://doi.org/10.18130/V3/EXJA3W, University of Virginia Dataverse, V1
The data in each sheet is described below: 1. Data_train: Training dataset used for all the ML models 2. Data_test: Test dataset used for all the ML models 3. Data_virtual: Dataset having the principal component (PC) values of U-Mo-X alloys absent from train and test set and is the input to predict the TTT curves for these U-Mo-X alloys 4. Data_cal...
README.txt
Mar 30, 2026 - Data for: A Physics-Regularized Machine Learning Approach for Predicting Time–Temperature–Transformation Curves in Alloys: Application to Uranium-Based Alloys
Plain Text - 823 B - MD5: b6803b838e30cb5216986301298e1f50
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