Results 151 to 160 of about 7,835 (281)

Comprehensive 4D Parallel Transmission Spatial-Spectral Pulse Design for Slab-Selective Uniform Water-Selective Excitation: Demonstration in the Human Brain at 7 Tesla. [PDF]

Magn Reson Med
Shao X, Zhang Z, Zhong W, Guo H, Ugurbil K, Wu X.   +5 more
europepmc   +1 more source

Interpolating sequences and Carleson measures in the Hardy–Sobolev spaces of the ball in ${\mathbb {C}}^{n}$

, 2017
Éric Amar
openalex   +2 more sources

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Burg-Aided 2D MIMO Array Extrapolation for Improved Spatial Resolution. [PDF]

Sensors (Basel)
Bekar M, Bekar A, Pirkani A, Baker CJ, Gashinova M.   +4 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Deep reinforcement learning can promote sustainable human behaviour in a common-pool resource problem. [PDF]

Nat Commun
Koster R, Pîslar M, Tacchetti A, Balaguer J, Liu L, Elie R, Hauser OP, Tuyls K, Botvinick M, Summerfield C.   +9 more
europepmc   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

FZC-TDE: The Algorithm for Real-Time Ultrasonic Stress Measurement at Low Sampling Rates. [PDF]

Micromachines (Basel)
Qiu F, Chen B, Luo C, Chen J, He Z, Zhao J, Gou G.   +6 more
europepmc   +1 more source

Robot‐Assisted Measurement of the Critical Micelle Concentration

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio, Gadi Slor, Josie Hughes, Francesco Stellacci   +3 more
wiley   +1 more source

Characterization of the interpolating sequences on a certain plane domain (Harmonic, Analytic function spaces and Linear Operators, II)

, 2002
淳一郎 成田
openalex   +1 more source