All Stories

  1. Theoretical modeling of phase boundary mediated extra tensile strength and plasticity in high entropy alloys
  2. AI‐Powered Visualization of Invisible Mechano‐Information: Stress, Defects, and Beyond
  3. A machine learning–based framework for mapping hydrogen at the atomic scale
  4. Overcoming strength-ductility tradeoff with high pressure thermal treatment
  5. Grain boundary plasticity initiated by excess volume
  6. Imaging of atomic stress at grain boundaries based on machine learning
  7. Lowering the sound transmission loss of impedance-matching structures: Data-driven optimization assisted with a priori knowledge
  8. Unraveling the deformation behavior of the Fe45Co25Ni10V20 high entropy alloy
  9. Phase transformation induced transitional twin boundary in body-centered cubic metals
  10. Misorientation-dependent transition between grain boundary migration and sliding in FCC metals
  11. Predicting the property contour-map and optimum composition of Cu-Co-Si alloys via machine learning
  12. Tailoring microstructure of metallic glass for delocalized plasticity by pressure annealing: Forward and inverse studies
  13. Shear band mediated ω phase transformation in Nb single crystals deformed at 77 K
  14. Constitutive Description of Extra Strengthening in Gradient Nanotwinned Metals
  15. Effect of interstitial N atom on physical and mechanical properties of FeCoCrNiMn high-entropy alloys: A first-principles study
  16. Machine learning-assisted discovery of strong and conductive Cu alloys: Data mining from discarded experiments and physical features
  17. Effect of Al solute concentration on mechanical properties of AlxFeCuCrNi high-entropy alloys: A first-principles study