Results 221 to 230 of about 14,228,214 (289)
A model free cascade control for backlash compensation in multi drive systems. [PDF]
Hoseinifard SM +3 more
europepmc +1 more source
Osarodion Emmanuel Egbomwan +3 more
openaire +2 more sources
Digital twin‐based structural analysis reveals PTFE‐induced structural evolution in dry‐processed electrodes, characterized by increased NCM/LPSCl interfacial contact and homogenized component distributions. These structural features establish a larger active surface area and well‐connected electron and ion transport pathways, enabling enhanced ...
Jongjun Lee +8 more
wiley +1 more source
A new index for frequency stability assessment in Low-Inertia Power Systems. [PDF]
Qin S, Yi SS, Zhang C, Zhang H.
europepmc +1 more source
Optically Driven AuCu Alloying in Single Nanoparticles Revealed by In Situ TEM
In situ transmission electron microscopy with picosecond laser illumination reveals how single gold nanorods reversibly take up and release copper from their carbon support, forming homogeneous AuCu alloys. Laser fluence and illumination time serve as control parameters, making composition dynamically tunable, and with it the functional properties it ...
Francesca Scalerandi +3 more
wiley +1 more source
Identification of novel PKR inhibitory chemotypes <i>via</i> integrated molecular modelling and machine learning. [PDF]
Shakhatreh G, Taha MO, Daoud S.
europepmc +1 more source
Spatial Statistics for Screening Molecular Structures
Deep architectures for materials discovery demand vast training data and obscure the structure‐property link. This review shows how spatial statistics offer a physically grounded alternative: voxelized fields and two‐point correlations, compressed by principal component analysis, yield convex, interpretable descriptors. Lean surrogates then reach sub‐2%
Pranoy Ray, Surya R. Kalidindi
wiley +1 more source
Distributed event-triggered robust adaptive formation control of multi-agent rigid bodies on [Formula: see text]. [PDF]
Sharma M, Sakthivel R, Yadav K.
europepmc +1 more source
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin +10 more
wiley +1 more source
A fusion deep Q-learning and particle swarm optimization algorithm for adaptive resource allocation in cloud computing circumstances. [PDF]
Al-Jumaili AHA +4 more
europepmc +1 more source

