Results 181 to 190 of about 2,093,786 (309)

Research on noninvasive electrophysiologic imaging based on cardiac electrophysiology simulation and deep learning methods for the inverse problem. [PDF]

BMC Cardiovasc Disord
Chang Y, Dong M, Fan L, Kang B, Sun W, Li X, Yang Z, Ren M.   +7 more
europepmc   +1 more source

The First- and Second-Order Features Adjoint Sensitivity Analysis Methodologies for Neural Integro-Differential Equations of Volterra Type: Mathematical Framework and Illustrative Application to a Nonlinear Heat Conduction Model

Dan Gabriel Cacuci
openalex   +1 more source

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

Advanced Functional Materials, EarlyView.
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao, Niamh Mac Fhionnlaoich, Max Besenhard, Arun Pankajakshan, Federico Galvanin, Stefan Guldin   +5 more
wiley   +1 more source

Transparent conductive oxides as a material platform for a realization of all-optical photonic neural networks. [PDF]

Sci Rep
Gosciniak J, Khurgin JB.
europepmc   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source

Feedback parameters for a closed-loop multiple-input multiple-output model of the upper limb. [PDF]

PLoS Comput Biol
Syndergaard I, Free DB, Farina D, Charles SK.   +3 more
europepmc   +1 more source

Numerical Simulation of Transient Heat Conduction With Moving Heat Source Using Physics Informed Neural Networks

Anuroopa Kalyan, Sundararajan Natarajan
openalex   +1 more source

Eco‐Fabricated Nanowave‐Textured Implants Drive Microtubule‐Assisted Nuclear Mechanotransduction and Chromatin Modification: Biophysical Priming for Osteogenesis and Bone Regeneration

Advanced Functional Materials, EarlyView.
Eco‐friendly nanowave‐textured implants produced via femtosecond laser fabrication enhance bone regeneration by orchestrating a precise mechanotransduction cascade. This nanotopography directs mesenchymal stem cell alignment and cytoskeletal organization, triggering changes in nuclear shape and chromatin acetylation that prime cells for osteogenesis ...
Bosu Jeong, Ji‐Young Yoon, Junyong Ahn, Byunghak Lee, Sung‐Min Park, Jae‐Heon Kim, Buuvee Bayarkhangai, Yu Jin Kim, Sak Lee, Jonathan C. Knowles, Moon‐Young Kim, DongJun Lee, Sang‐Hoon Rhee, Hae‐Hyoung Lee, Hae‐Won Kim, Jung‐Hwan Lee   +15 more
wiley   +1 more source

Expression of ApoE and Spp1 in the cochlea and auditory cortex of age-related hearing loss mice. [PDF]

Braz J Otorhinolaryngol
Yuan Y, Zhang J, Zhao J, Zhang X, Cao Z.
europepmc   +1 more source

Application of Neural Network Potentials to Materials Science ― Analysis of Partial Crystallization in Glass Structures and Ion Conduction Mechanisms ―

Kōji Shimizu
openalex   +1 more source