Results 221 to 230 of about 949,851 (307)
The perfect crystal packing achieved via the halogen‐bond (XB) coupled halogenated‐π‐conjugation strategy effectively induces an ultrahigh birefringence (Δn = 0.97), which exhibits promising potential in polarization control and phase modulation.
Miao‐Bin Xu +6 more
wiley +1 more source
Development of a Landscape Pattern Health Index and Association with Stroke Mortality Using GWQS Regression - Ningbo City, Zhejiang Province, China, 2001-2023. [PDF]
Kong Q, Huang J, He T, Li G.
europepmc +1 more source
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
Navigating data challenges in socioeconomic impact assessments of conservation regimes. [PDF]
Hajjar R +10 more
europepmc +1 more source
This work presents a physics‐based DC compact model of an Organic Electrochemical Transistor (OECT) that takes into account the faradaic redox reaction in the above threshold regime and incorporates the diffusive current of the subthreshold regime based on semiconductor physics.
Ermias Telahun Teka +6 more
wiley +1 more source
Applications of dimension interpolation to orthogonal projections. [PDF]
Fraser JM.
europepmc +1 more source
5 nm HfO2 memristors exhibit a fully reversible, voltage‐controlled transition between filamentary and interfacial switching within the same device. At high voltages, a filament forms and dominates the conduction, whereas at lower voltages the device reversibly returns to interfacial mode without defect accumulation, implying a new reversible ...
Cuo Wu +8 more
wiley +1 more source
XGBoost-Based Digital Twin Model for Predicting Trajectory Errors in a Hexapod Coordinated Machining System Using Positioning Accuracy and Vibration Data. [PDF]
Xing K +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

