Results 141 to 150 of about 50,878 (286)
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
Universal service financing in competitive postal markets : one size does not fill all [PDF]
In the postal sector, the net cost of universal service depends on the content of the service, the postal market characteristics and the country’s geographical configuration.
PAOLINI, Dimitri, GAUTIER, Axel
core
Abstract In cryogenic CO2 desublimation systems where phase change dominates both heat transfer and separation, conventional lumped thermal‐resistance treatments embed interfacial latent heat into an overall heat‐transfer coefficient, obscuring how phase‐change heat is partitioned between the gas phase and the coolant and limiting diagnostic insight ...
Shengwen Xiao +2 more
wiley +1 more source
A Mathematical and Physical Base for "A Standard Model of the Mind"
This paper describes a mathematical and physical base for "A Standard Model of the Mind." It is a super-Turing model constrained by physical reality of the brain\u27s construction. The constraints are noise and quantized charge transfer.
Younger, A. Steven, Redd, Emmett
core
Abstract This study presents a coupled population balance model (PBM) for describing the degree‐of‐agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge‐counting methods and accurately captured DoA trends ...
Yung‐Shun Kang +6 more
wiley +1 more source
Mathematical Model for the Transmission and Control of Mastitis in Dairy Cows [PDF]
Mastitis in dairy cows is a complex infectious disease that significantly impacts animal health, milk quality, and farm profitability. This study develops and analyzes a deterministic compartmental mathematical model describing the transmission of ...
Zlatanovska, Biljana +3 more
core
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
On the social induction of Alzheimer's disease: An index theorem aging model for amyloid formation
The central 'risk factor' for Alzheimer's disease (AD) is age. From first principles, we construct a mathematical model of protein folding and its in vivo regulation that gives this result in a natural manner.
Rodrick Wallace, Deborah Wallace
core

