Results 71 to 80 of about 59,986 (267)
A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu +9 more
wiley +1 more source
This study demonstrates that in high‐alloy systems, nanoclusters with high solute tolerance can effectively suppress compositional segregation. This mitigation leads to a concurrent 18.7% increase in strength and 41.5% improvement in ductility, which is attributed to a shear‐bypass synergistic strengthening mechanism. The findings provide a new pathway
Wei Yu +10 more
wiley +1 more source
Cons-training tensor networks: Embedding and optimization over discrete linear constraints
In this study, we introduce a novel family of tensor networks, termed constrained matrix product states (MPS), designed to incorporate exactly arbitrary discrete linear constraints, including inequalities, into sparse block structures.
Javier Lopez-Piqueres, Jing Chen
doaj +1 more source
This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu +9 more
wiley +1 more source
Multi-Unit Combinatorial Prophet Inequalities
We consider a combinatorial auction setting where buyers have fractionally subadditive (XOS) valuations over the items and the seller's objective is to maximize the social welfare. A prophet inequality in this setting bounds the competitive ratio of sequential allocation (often using item pricing) against the hindsight optimum.
Chawla, Shuchi +3 more
openaire +2 more sources
Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity
This study examines visual creativity in humans and generative AI using the TCIA framework. Human artists outperform AI overall, yet structured human guidance substantially improves AI outputs and evaluations. Findings reveal that alignment with human creativity depends critically on contextual framing, highlighting both the promise and current ...
Silvia Rondini +8 more
wiley +1 more source
Muscle wasting is a continuum of diseases that entail incremental skeletal muscle mass, as well as functionality, loss and is an important cause of morbidity, mortality, as well as quality of life reduction.
Jiahao Huang +9 more
doaj +1 more source
A physics‐based compact model for Conductive‐Metal‐Oxide/HfOx ReRAM, accounting for ion dynamics, electronic conduction, and thermal effects, is presented. Accurate and versatile simulations of analog non‐volatile conductance modulation and memory state stabilization enable reliable circuit‐level studies, advancing the optimization of neuromorphic and ...
Matteo Galetta +9 more
wiley +1 more source
It has been a long-standing challenge to find a geometric object underlying the cosmological wavefunction for Tr(ϕ 3) theory, generalizing associahedra and surfacehedra for scattering amplitudes.
Nima Arkani-Hamed +2 more
doaj +1 more source
Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko +3 more
wiley +1 more source

