This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari +4 more
wiley +1 more source
A Multi-Attribute Decision-Making Approach for Critical Node Identification in Complex Networks. [PDF]
Zhao X, Zhang Y, Zhai Q, Zhang J, Qi L.
europepmc +1 more source
Dynamic computation of value signals via a common neural network in multi-attribute decision-making. [PDF]
Magrabi A +6 more
europepmc +1 more source
Controlling the Field Assisted Sintering Technology (FAST) parameters, dwell temperature and cooling rate, significantly influences the microstructural evolution in titanium aluminide GE4822. Significant γ‐lamellar colonies develop only upon cooling through the α‐transus.
Jack Krohn, James Pepper, Martin Jackson
wiley +1 more source
A novel interval valued bipolar fuzzy hypersoft topological structures for multi-attribute decision making in the renewable energy sector. [PDF]
Harl MI +4 more
europepmc +1 more source
Multi-attribute decision-making method based on q-rung orthopair probabilistic hesitant fuzzy schweizer-sklar power weighted hamy mean operator. [PDF]
Chen Z, Shen D, Yu F, Tang X, Zhang Z.
europepmc +1 more source
Deep‐UV (258 nm) femtosecond pulses enable uniform amorphous silicon writing on Si(100)/(111) with a six‐fold larger fluence amorphization window than NIR methods. Optimized fluence and overlap yield 20–45 nm uniform and continuous amorphous layers. Microscopy shows sharp interfaces, and real‐time reflectivity reveals nanosecond melt–resolidification ...
Wissal Benali +5 more
wiley +1 more source
Complex nth power root fuzzy sets: Theory, and applications for multi-attribute decision making in uncertain environments. [PDF]
Ibrahim HZ +3 more
europepmc +1 more source
A new multi-attribute decision making approach based on new score function and hybrid weighted score measure in interval-valued Fermatean fuzzy environment. [PDF]
Qin H, Peng Q, Ma X, Zhan J.
europepmc +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source

