Results 41 to 50 of about 61,552 (299)
MetalsTi17 alloy is mainly used to manufacture aero-engine discs due to its excellent properties such as high strength, toughness and hardenability. It is often subjected to creep–fatigue cyclic loading in service environments.
Jianguo Wang +5 more
doaj +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
International Journal of Electrochemical Science, 2019 Flexibility has been identified as the most important factor in the foldable or bendable electrochemical supercapacitors (ESs), which include: electrical double-layer capacitors, and pseudo-capacitors. In this minireview, electrospun polymeric nanofibers
Haoqi Yang, Shuqing Kou
doaj +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
Study of the hot forging of weld cladded work pieces using upsetting tests [PDF]
, 2014 This paper focuses on the hot forging of multi-material cladded work pieces using upsetting tests. Thecase study corresponds to gas metal arc welding cladding of a SS316L on a mild steel (C15). Experimentaltests and simulations using a slab model and the
RAFIQ, Muhammad +4 more
core +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
Advanced friction modelling in cold forging using machine learning [PDF]
Despite the intensive development of FE simulations for cold forging applications over the last decades, they are still prone to errors due to, among other things, inaccurate material and friction modelling.
Volz, Stefan +2 more
core +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
Advanced Science, EarlyView.A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei +7 more
wiley +1 more source