Results 11 to 20 of about 181,769,327 (177)
Abstract robust coarse spaces for systems of PDEs via generalized eigenproblems in the overlaps [PDF]
Coarse spaces are instrumental in obtaining scalability for domain decomposition methods for partial differential equations (PDEs). However, it is known that most popular choices of coarse spaces perform rather weakly in the presence of heterogeneities ...
Dolean Maini, Victorita +5 more
core +4 more sources
Stochastic PDEs with multiscale structure [PDF]
We study the spatial homogenisation of parabolic linear stochastic PDEs exhibiting a two-scale structure both at the level of the linear operator and at the level of the Gaussian driving noise.
Martin Hairer +3 more
core +1 more source
Almost sure exponential stabilisation of stochastic systems by state-feedback control [PDF]
So far, a major part of the literature on the stabilisation issues of stochastic systems has been dedicated to mean square stability. This paper develops a new class of criteria for designing a controller to stabilise a stochastic system almost surely ...
Mao, Xuerong, Hu, Liangjian
core +4 more sources
Cyclic adenosine monophosphate (cAMP) is a key cellular second messenger. Adenylyl cyclase converts emissive isomorphic nucleoside triphosphates into fluorescent cAMPs. cthAMP displays unusually high brightness compared to thATP, its precursor, enabling real‐time monitoring of enzymatic reactions.
Deyuan Cong +3 more
wiley +2 more sources
Structure-Guided Optimization of PDE9A Inhibitors Tackling Neuroinflammation: A Combined Computational and In Vitro Study. [PDF]
Computational studies allowed the identification of a PDE9A inhibitor. A novel HPLC‐based assay was developed and optimized to measure enzyme function to assess PDE9A inhibition. Furthermore, in vitro tests supported the activity of the compound against neuroinflammation. Oxidative stress and inflammation are key players in central nervous system (CNS)
Ribaudo G +10 more
europepmc +2 more sources
Pattern‐dependent etching is converted into a physical prior for intelligent reconstruction of high‐aspect‐ratio silicon structures. Combining YOLO‐Pose feature extraction with a topography network, the framework retrieves depth, sidewall angle, and scallop texture from minimal destructive observations, enabling accurate cross‐scale metrology and near ...
Shuyan He +4 more
wiley +1 more source
The asymptotic stability for a system of nonlinear PDEs. [PDF]
The asymptotic stability of a system of nonlinear PDEs is ...
Petras Golokvosčius +1 more
core +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
Fatigue‐Driven Adaptive Assistance for a Semi‐Active Upper‐Limb Occupational Exoskeleton
Physical fatigue during a physical activity is estimated in real time to enable adaptive exoskeleton assistance. By continuously adjusting the level of support according to the user’s fatigue, this approach reduces physical demand and provides a pathway toward personalized exoskeleton assistance.
Seemab Zakir +6 more
wiley +1 more source

