Quantum Physics, Topology, Formal Languages, Computation: A Categorical View as Homage to David Hilbert [PDF]
Chiara Marletto, Mario Rasetti
openalex +1 more source
Predicting Extreme Environmental Values with Hybrid Models: A Perspective Across Air Quality, Wind Energy, and Sensor Networks. [PDF]
Efthimiou G.
europepmc +1 more source
Plasmonic photocatalytic ammonia decomposition occurs at near‐room temperature on a plasmonic Au nanocone array under visible light illumination. The nanostructure efficiently harnesses plasmonic modes, leading to increased reaction rates upon plasmon decay.
Thanh‐Lam Bui +17 more
wiley +1 more source
Deep learning-based approaches for human pose estimation in interdisciplinary physics applications. [PDF]
Zhiliang L, Zhuo L.
europepmc +1 more source
Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics
Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro +4 more
wiley +1 more source
CPC’s 50th Anniversary: Celebrating 50 years of open-source software in computational physics
M. P. Scott +7 more
openalex +1 more source
Ionization potential depression model with the influence of neighboring ions in warm and dense plasmas. [PDF]
Wu C +5 more
europepmc +1 more source
Entangled Multistable Origami with Reprogrammable Stiffness Amplification and Damping
This study introduces a class of origami‐inspired metamaterials that overcome the limitations of existing multistable metamaterials by eliminating the need for rigid lateral confinements. Panel entanglement, snap‐through interactions, and instabilities synergy enable them to achieve extensive shape‐shifting, enhanced stiffness, and remarkable energy ...
Amin Jamalimehr +2 more
wiley +1 more source
Bayesian deep reinforcement learning for uncertainty quantification and adaptive support optimization in deep foundation pit engineering. [PDF]
Gu W.
europepmc +1 more source

