Results 261 to 270 of about 102,033 (344)
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li +8 more
wiley +1 more source
Effect of Secondary Aging Conditions on Mechanical Properties and Microstructure of AA7150 Aluminum Alloy. [PDF]
Chen F +5 more
europepmc +1 more source
Tb3+‐Doped Glass‐Ceramic Scintillating Plates and Fibers for X‐Ray Imaging and Flexible Detection
A Tb3+‐doped glass‐ceramic scintillator, with controlled Ba2GdF7 nanocrystal precipitation, was developed through a rational design strategy guided by phase diagrams and molecular dynamics simulations. The obtained material exhibits a high light yield of 41 800 photons/MeV (418%/BGO), a spatial resolution of 25.3 lp/mm, and exceptional thermal ...
Songxuan Liu +6 more
wiley +1 more source
On the Hardening and Softening Behaviors of Additively Manufactured and Forged Inconel 718 Alloys Under Non-Isothermal Heat Treatments. [PDF]
Dong Y +5 more
europepmc +1 more source
2D UiO‐66‐NH2/MoS2 was fabricated via an aqueous synthesis method to in situ encapsulation of MoS2 with 2D UiO‐66‐NH2 MOF. The humidity‐resistant NO2 sensing of 2D UiO‐66‐NH2/MoS2 at room temperature was accordingly enhanced by MOF encapsulation layer, along with the selectivity and stability.
Junwei Zeng +5 more
wiley +1 more source
A Comprehensive Review of θ-Series Precipitates in Aluminum Alloys. [PDF]
Chen B.
europepmc +1 more source
The cover image shows that vascular endothelial cells play an important role in lung metastasis of TNBC. Endothelial Sohlh2 acts as a gatekeeper against TNBC lung metastasis by limiting endothelial activation and tumor cell passage. PRMT5 reduces Sohlh2 stability, weakening this protective barrier.
Ruihong Zhang +8 more
wiley +1 more source
Design of Fe-Co-Cr-Ni-Mn-Al-Ti Multi-Principal Element Alloys Based on Machine Learning. [PDF]
Xu X +5 more
europepmc +1 more source

