Results 141 to 150 of about 1,324 (259)

Omnidirectional Ultra‐Broadband Cu/TiO2 Metasurface Absorbers for High‐Efficiency Solar Thermal Conversion and Photothermal Plasmon‐Driven Catalysis

Advanced Optical Materials, EarlyView.
Metasurface shows selective solar–thermal energy conversion with high‐activity solar/laser‐driven chemistry. The breakthrough is co‐designing broadband FP‐cavity + plasmonic LSPR/SLR resonances in an ultra‐thin metamaterial so that it not only harvests the most efficient proportion of solar radiation but also suppresses mid and IR emissivity. Moreover,
Samira Mehrabi, HaoYu Zhang, Narendra Chaulagain, Edgar Acosta, Nazir P. Kherani   +4 more
wiley   +1 more source

Engineering Exciton g‐Factors With Light in Type‐II Heterostructures

Advanced Optical Materials, EarlyView.
All‐optical approaches have emerged as cutting‐edge alternatives for ultrafast, energy‐efficient, and spatially localized tuning and switching of material properties. In our work, we demonstrate how light intensity alone can be leveraged to engineer g‐factors from a single‐type of carrier in type‐II heterostructures through Coulomb‐induced wavefunction
G. M. Jacobsen, V. A. Oliveira, B. L. Liang, A. Pelais, M. E. Ware, G. J. Salamo, G. E. Marques, Yu. I. Mazur, V. Lopez‐Richard, M. D. Teodoro   +9 more
wiley   +1 more source

Photodoping in Wide‐Bandgap Perovskite Solar Cells With MXenes

Advanced Optical Materials, EarlyView.
Ultrafast tandem spectroscopy and DFT modeling reveal the separate dynamics and the imbalance of electrons and holes in wide bandgap perovskite solar cells with MXene incorporation. The enhanced photoconversion performances of the devices are traced to photodoping, with selective hole trapping and suppressed recombination of electrons.
Angelica Simbula, Antonio Agresti, Sara Pescetelli, Sofia Sechi, Nicola Sestu, Francesco Mattana, Federico Pitzalis, Riccardo Pau, David Dell'Angelo, Alessio Filippetti, Alessandro Mattoni, Anna Pazniak, Daniela Marongiu, Valeria Demontis, Francesco Quochi, Michele Saba, Andrea Mura, Giovanni Bongiovanni   +17 more
wiley   +1 more source

Lone black holes promise fresh insights into the fates of massive stars. [PDF]

Proc Natl Acad Sci U S A
Croswell K.
europepmc   +1 more source

Gait Analysis of Pak Biawak: A Necrobot Lizard Built using the Skeleton of an Asian Water Monitor (Varanus Salvator)

Advanced Robotics Research, EarlyView.
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds, Donan Satria Yudha, Parvez Alam   +2 more
wiley   +1 more source

Reversible Evaporation and the Entropy of Black Holes. [PDF]

Entropy (Basel)
Herrmann F, Pohlig M.
europepmc   +1 more source

3D‐Printing Aided Rapid Prototyping of Pretensioned Tensegrity Structures for Robotic Applications

Advanced Robotics Research, EarlyView.
Printing, injection molding, and assembly (PMA) is a method for rapid prototyping mesoscale, topologically complex, and tensioned tensegrity structures. In combination with PMA method, two mold design strategies: modular mold and compact channel layout, enable efficiency and scalability for tensegrity fabrication.
Yi Sun, Jan Petrš, Omar Aloui, Dario Floreano   +3 more
wiley   +1 more source

A tidal disruption event from an intermediate-mass black hole revealed by comprehensive multi-wavelength observations. [PDF]

Nat Commun
Wang J, Huang M, Xue Y, Jiang N, Huang S, Wang Y, Zhu J, Zhu S, Dai L, Jin C, Luo B, Shu X, Sun M, Wang T, Zou F.   +14 more
europepmc   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
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, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Finite-Capacity Thermodynamics of Causal Horizons. [PDF]

Entropy (Basel)
Antiba CA.
europepmc   +1 more source