Advanced Science, EarlyView.This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Effect of implant number, attachment type, and framework material on stress distribution in mandibular overdentures: a finite element analysis. [PDF]
BMC Oral HealthSai̇p S, Yeşi̇l Z.
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Functional anisotropy of the elephant trunk skin: A biological blueprint for grasping, protection, and tactile sensing. [PDF]
PNAS NexusLo Preti M +6 more
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.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
A Stretchable Electronic Tattoo for Self-Powered Human-Machine Interfaces and Therapeutic Applications. [PDF]
Micromachines (Basel)Shao R, Zhang Y, Chang Y, Li C, Wang Y.
europepmc +1 more source
Advanced Science, EarlyView.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
True triaxial hydraulic fracturing experiments and FDEM simulation study of coal-measure rock strata. [PDF]
Sci RepMa J, Dong G, Wang H, Li X.
europepmc +1 more source
Advanced Science, EarlyView.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
Analysis of dynamic splitting failure characteristics of silica fume reinforced polypropylene fiber concrete based on DIC. [PDF]
Sci RepDu X, Li Y, Wei J, Xing Y, Wang H.
europepmc +1 more source