Adaptive Reinforced Elite Gray Wolf Optimization for Robotic Path Planning and Football Pass-Quality Prediction. [PDF]
Liu S, Wang H, Yuan Y, Zhou M, Deng Y.
europepmc +1 more source
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko +8 more
wiley +1 more source
Stochastic three-term conjugate gradient: a third-order curvature approximation correction algorithmic framework for machine learning. [PDF]
Liu J, Yuan G, Mo Z.
europepmc +1 more source
Twin‐Lever Multifunctional Meta‐Optics With High Longitudinal Tolerance
We introduce a single‐layer, CMOS‐compatible metasurface that allows for polarization‐programmable, achromatic broadband dual‐mode imaging with high longitudinal tolerance. The twin‐lever design combines bright‐field focusing and vortex‐based edge‐enhanced imaging while managing axial intensity distribution from 488 to 633 nm.
Isma Javed +10 more
wiley +1 more source
A Layered NSGA-II Method for LEO Target Census Constellation Design. [PDF]
Quan C, Jian P.
europepmc +1 more source
DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li +3 more
wiley +1 more source
A Framework for Integrating Large Language Models into Memetic Algorithms. [PDF]
Sakharov M.
europepmc +1 more source
MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort +3 more
wiley +1 more source
Fluid-Improved Particle Swarm Optimization for Parameter Optimization of XRD-Based <i><b>Os Draconis</b></i> Identification Model. [PDF]
Wang Y +8 more
europepmc +1 more source
A graphene‐metal hybrid transmissive metasurface enables electrically tunable mid‐infrared transmission modulation through ionic gel top gating. By combining graphene with a metallic slit metasurface, high modulation efficiency and broadband operation are achieved simultaneously, demonstrating efficient electrical control of mid‐infrared transmission ...
Heonhak Ha +4 more
wiley +1 more source

