Structure-Property-Function Evaluation of a β-Type Ti-Nb-Zr Alloy for Dental Implant Applications with Short-Term Clinical Validation. [PDF]
Jo D +8 more
europepmc +1 more source
Electrographic Determination of Magnesium in Magnesium Alloys and Zirconium in Zirconium Alloys
openaire +3 more sources
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley +1 more source
Finding Optimal Thermo-Mechanical Processing for a TNTZ-O Beta-Titanium Alloy. [PDF]
Cojocaru VD +5 more
europepmc +1 more source
A General and Efficient Framework for the Rapid Design of Miniaturized, Wideband, and High‐Bit RIS
A general and efficient framework is proposed for the rapid design of high‐performance reconfigurable intelligent surfaces (RISs). This framework integrates advanced antenna design techniques and incorporates various load types, quantities, and values to achieve the design of high‐performance RISs.
Jun Wei Zhang +14 more
wiley +1 more source
Improvement of SNR in laser-induced breakdown spectroscopy using microwave and multifiber synergy. [PDF]
Ikeda Y.
europepmc +1 more source
Ferroelectric HfO2/ZrO2 Superlattice Capacitors With High Center to Edge Wafer‐Scale Uniformity
“Enhanced wafer‐scale device uniformity on 150 mm wafers is demonstrated using ferroelectric superlattice HfO2/ZrO2 (HZO) capacitors, as compared to conventional solid solution HZO capacitors. Superlattice HZO exhibits improved ferroelectric memory properties, including a broader polarization window, greater endurance, reduced leakage, and superior ...
Oscar Kaatranen +4 more
wiley +1 more source
Analyses of Stress-State-Dependent Ductile Damage and Fracture Behavior of Zirconium. [PDF]
Pan B +5 more
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source

