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19,071 to 19,080 of 25,353 Results
Y1.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 141.7 KB - MD5: 2802a324b238b34b37edc96801204e21
Y1.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 1.4 MB - MD5: a98dead411c4e02cb25b78761fd26813
Y1.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 7.8 KB - MD5: dfb79dfdbc33da0c2800b990a55b2e63
Y2.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 2.5 MB - MD5: 61fdb1c26e6128cd490e17cdf79a3fa6
Y2.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 111.2 KB - MD5: 0473382af737cb71eb4230186481b52b
Y2.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 34.4 KB - MD5: 0f700d71689bb58c3a88338165ed9fa0
100APBE.dat
Oct 8, 2024 - Replication Data for: Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials
Fixed Field Text Data - 11.5 KB - MD5: 92b1a1a78f1e351e1efcfb8d2309b898
Gibbs energy for the antiphase boundary in the (100) plane
111APBE.dat
Oct 8, 2024 - Replication Data for: Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials
Fixed Field Text Data - 11.5 KB - MD5: 51d3293ee858aaa402e050553509baa0
Gibbs energy for the antiphase boundary in the (111) plane
2delta-KWL-lammps.data
Oct 8, 2024 - Replication Data for: Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials
Unknown - 198.8 MB - MD5: aa45860c7a894ea16585579865e1b804
This is the atomistic structure of 2delta-KWL, which can be directly used in LAMMPS calculations.
CSFE.dat
Oct 8, 2024 - Replication Data for: Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials
Fixed Field Text Data - 11.5 KB - MD5: a1b5fbc39ac14c10fcb0ad8fae9d5851
Gibbs energy for the complex stacking fault
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