Stochastic calculus of variations for stochastic partial differential equations
Daniel Ocone
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On L p -theory of stochastic partial differential equations of divergence form in C1 domains [PDF]
Kyeong-Hun Kim
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Organic Ferroelectric Synaptic Transistors for Neural Image Recognition Networks
All organic transistors, where both the dielectric and semiconducting layers are polymeric, are developed as electrical synaptic devices. Two copolymers of PVDF as the dielectric layer with large differences in their saturation polarizability and memory window are chosen.
Evan Restuccia+2 more
wiley +1 more source
Backward stochastic partial differential equations with jumps and application to optimal control of random jump fields [PDF]
Bernt Øksendal+2 more
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Interfacial Yield Stress Response in Synthetic Mucin Solutions
The solution rheology of novel synthetic mucins mimicking natural mucin domains is studied. Like many natural mucin solutions, apparent solid‐like rheology is seen. However, no bulk structural features are found to explain it. Interfacial rheology and robust modelling reveal that this arises from molecular associations at the air–water interface ...
Sumit Sunil Kumar+7 more
wiley +1 more source
Variational solutions for a class of fractional stochastic partial differential equations [PDF]
David Nualart, Pierre-A. Vuillermot
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Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications
Molybdenum disulfide (MoS2) optoelectronic devices are implemented as Leaky Integrate‐and‐Fire (LIF) neurons in spiking neural networks (SNNs), where light‐induced photocurrent dynamics represent potentiation (τd) and depression (τd), emulating neuronal membrane potential.
Thiha Aung+5 more
wiley +1 more source
Utilizing a novel (Ni81Fe19/Ti)4/Cu/(Ni81Fe19/Ti)4 thin‐film multilayer with low coercive field, low damping and a superior GMI ratio, a compact, low‐noise unbiased FMR‐driven integrated GMI sensor with a superior magnetic noise performance of ≈100 pT/√Hz is first demonstrated, owing to reduced phase noise from well‐defined aligned magnetic domains and
Bin Luo+8 more
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Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng+2 more
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Monolithic Integration of Sub‐50 nm III–V Nano‐Heterostructures on Si (001) for Telecom Photonics
The monolithic integration of III‐V nano‐heterostructures on silicon via selective area epitaxy with dimensions down to 20 nm is demonstrated. The arsenic diffusion mechanism is employed to enable efficient light emission at the telecom wavelength range.
Alisha Nanwani+7 more
wiley +1 more source