Results 41 to 50 of about 119,004,954 (182)
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
A concept of integrated O2 and H2 gas therapy is achieved using a gas‐producing material. PMP nanoparticles, fabricated from platinum, MIL‐101(Fe)‐NH2, and phosphotungstic acid, are integrated into bilayer gelatin methacryloyl microneedles for transdermal delivery. These microneedles enable integrated O2 and H2 gas therapy and promote wound healing via
Zesheng Chen +13 more
wiley +1 more source
Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo +3 more
wiley +1 more source
Black hole attractors and the entropy function in four- and five-dimensional N=2 supergravity [PDF]
Extremal black holes in theories of gravity coupled to abelian gauge fields and neutral scalars, such as those arising in the low-energy description of compactifications of string theory on Calabi-Yau manifolds, exhibit the attractor phenomenon: on the ...
Perz, Jan
core +1 more source
Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing
Emerging materials for quantum computing, including crystalline materials, two‐dimensional van der Waals materials, two‐dimensional electron gas systems, ferromagnets, and unconventional (e.g., d‐wave) superconductors, offer opportunities to engineer next‐generation Josephson junctions.
Hyunseong Kim +11 more
wiley +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
String condensation: nemesis of black holes? [PDF]
This paper puts forward a conjecture that there are no black holes in M theory. We will show that a mechanism to prevent black hole formation is needed in 4 dimensions to make string theory a viable high energy model of quantum gravity.
Hewitt, M.
core
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Black holes at accelerators [PDF]
In theories with large extra dimensions and TeV-scale gravity, black holes are copiously produced in particle collisions at energies well above the Planck scale.
core +4 more sources
The Inka Khipu and Yupana: A Reply to Zen Vasconcellos and Rojas Gamarra (2026)
ABSTRACT A new analysis by Zen Vasconcellos and Rojas Gamarra offers a novel interpretation of the Inka devices used for calculating (yupana) and recording (khipu) numbers. They claim the Inka devices represented numbers neither positionally, with place value, as most researchers have assumed, nor additively, without place value, a possibility uniquely
Cinzia Florio, Karenleigh A. Overmann
wiley +1 more source

