Results 141 to 150 of about 1,050,906 (291)
Dysregulated protein modifications drive tumorigenesis. RINES, an E3 ubiquitin ligase, represses tumor cell proliferation and metastasis by facilitating RING domain‐dependent, ubiquitin–proteasome‐mediated degradation of STAT3 and MYC, which consequently restrains cancer stemness and oncogenic progression.
Lili Li +8 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
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
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
Microstructural Evolution Governing the Creep Resistance of Grade 92 Steel Under Wide-Temperature Heat Treatment: From Ferrite Recovery to Dynamic Precipitation Strengthening. [PDF]
He Y, Zhou H, Xu L, Shin K.
europepmc +1 more source
A vascularized liver‐on‐a‐microsphere system is developed to recreate lobule‐like cellular organization and endothelial barrier function within compartmentalized hydrogel particles. The platform enhances hepatic performance and reveals alanine‐glucose cycle activation linked to improved detoxification capacity, offering a high‐throughput microscale ...
Jingyang Li +9 more
wiley +1 more source
Fabrication of Cu-Al-Mn-Ti Shape Memory Alloys via Selective Laser Melting and Its Nano-Precipitation Strengthening. [PDF]
He L, Li Y, Su Q, Zhao X, Jiang Z.
europepmc +1 more source
A trace amount of boron is introduced into NbTaTi1.5V RHEA, forming a finegrained BCC+TiO+TiB microstructure. The TiB phase generates numerous dislocations, strengthening the alloy. The alloy exhibits 3610 MPa compressive fracture strength and 1060 HV microhardness, while retaining 14.8% fracture strain.
Da Wu +9 more
wiley +1 more source

