Results 161 to 170 of about 5,376 (222)
Deep convolutional fuzzy neural networks with stork optimization on chronic cardiovascular disease monitoring for pervasive healthcare services. [PDF]
Mohamed N +6 more
europepmc +1 more source
Our work bridges the gap between skyrmion discovery and material design by demonstrating how atomic‐scale control of exchange interactions enables tunable skyrmion phase transitions in centrosymmetric magnetic metals. ABSTRACT Magnetic skyrmions are topologically protected spin states that hold promise for shaping the future of electronics.
Dasuni N. Rathnaweera +9 more
wiley +1 more source
Sparse Bayesian multidimensional scaling(s). [PDF]
Sheth A, Smith A, Holbrook AJ.
europepmc +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Data integration strategies for whole-cell modeling. [PDF]
Tummler K, Klipp E.
europepmc +1 more source
Conference on Mathematical Methods in Physics : Differential Equations
Institute of Mathematical Sciences. Madras
core
Thin‐Film Thermal Sensors on Chitosan Substrates for Sustainable Transient Electronics
Fully transient thin‐film temperature sensors are realized on pure chitosan substrates using Mo‐based RTDs and a‐IGZO/Mo thermistors. The devices exhibit high sensitivity, mechanical flexibility, humidity‐aware operation, and complete dissolution in natural solvents.
Ahmed Rasheed +14 more
wiley +1 more source
Exceptional Antimodes in Multi‐Drive Cavity Magnonics
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith +4 more
wiley +1 more source
From Experiments to AI: A Comparative Review of Machine Learning Approaches for Predicting Nanofluid Thermophysical Properties. [PDF]
Al Jadidi S +4 more
europepmc +1 more source
Surface‐energy guided self‐assembly of liquid metals enables the transformation of liquid metal micro/nanodroplets into continuous perocolative films on elastomeric substrates. By tailoring interfacial energetics and wetting behavior, uniform, conductive, and stretchable films are achieved, offering scalable pathways for high‐performance soft ...
Alwar Samy Ramasamy +7 more
wiley +1 more source

