Results 211 to 220 of about 13,303,652 (245)

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

Stochastic synchrony of neuronal oscillators: a Fokker-Planck study with the finite-element method

BMC Neuroscience, 2007
Galán Roberto F, Ermentrout G Bard, Urban Nathaniel N   +2 more
doaj   +1 more source

Some inverse problems in particle physics. [PDF]

Eur Phys J Spec Top
Del Debbio L.
europepmc   +1 more source

Distributed State Estimation for Mobile Robots in LiDAR Sensor Networks With Intermittent Inertial Measurements

Advanced Intelligent Systems, EarlyView.
A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based communication reduction, and intermittent inertial fusion, accurate and efficient estimation is achieved under occlusions and sensing constraints, with formally ...
Isabella Luppi, Ehsan Hashemi
wiley   +1 more source

Dead-Space Microdomains as Explicit Barriers to Extracellular Drug Transport in Alzheimer's Disease. [PDF]

Pharm Res
Charemis D, Lampropoulos D, Dimakopoulos Y, Sivolapenko G, Hadjinicolaou M.   +4 more
europepmc   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Relative Entropy-Based Reliability Assessment of Hybrid Telecommunication Skeletal Towers. [PDF]

Entropy (Basel)
Kamiński M, Bredow R.
europepmc   +1 more source

Revealing Hidden Raman Signatures Through Attention‐Based Spectral Unmixing

Advanced Intelligent Systems, EarlyView.
Weak Raman signatures are recovered from background‐dominated spectra using a transformer‐based, reference‐free spectral unmixing AI framework. Self‐attention reconstructs substrate contribution directly from mixed data, enabling reliable extraction of previously inaccessible vibrational features.
Dmitriy A. Poteryayev, Pietro Novelli, Annalisa Coriolano, Riccardo Dettori, Valentina Tozzini, Fabio Beltram, Massimiliano Pontil, Antonio Rossi, Stiven Forti, Camilla Coletti   +9 more
wiley   +1 more source

Modelling the Mechanical Properties of Architected Cellular Solids for Structural Applications: A Review. [PDF]

Materials (Basel)
Flores Alarcón JL, Schouwenaars R, Ortiz A, Ruiz-Huerta L, Azamar MF, Figueroa IA.   +5 more
europepmc   +1 more source