Using Fatiando a Terra to solve inverse problems in geophysics
, 2014 Leonardo Uieda +2 more
openalex +1 more source
MEMS‐Based Magnetoelectric Antennas for Wireless Power Transmission in Brain‐Implantable Devices
Advanced Materials Technologies, EarlyView.Magnetoelectric (ME) antennas allow the minimization of the invasiveness of brain implantable devices, via powering wirelessly systems able to actuate neural tissue. In order to achieve the necessary power efficiency transmission, the choice of the materials and the system assembly is vital.
Laura Mazón‐Maldonado +5 more
wiley +1 more source
Research on noninvasive electrophysiologic imaging based on cardiac electrophysiology simulation and deep learning methods for the inverse problem. [PDF]
BMC Cardiovasc DisordChang Y +7 more
europepmc +1 more source
Solving the inverse problem of time independent Fokker-Planck equation with a self supervised neural network method. [PDF]
Sci Rep, 2021 Liu W, Kou CKL, Park KH, Lee HK.
europepmc +1 more source
Advanced Materials Technologies, EarlyView.This review explores recent advances in digital micromirror device (DMD)‐based lithography, focusing on its programmable light modulation, multi‐material compatibility, and dimensional patterning strategies. It highlights innovations from optical system design to materials integration and multifunctional applications, positioning DMD lithography as a ...
Yubin Lee +5 more
wiley +1 more source
Non-convex optimization for inverse problem solving in computer-generated holography. [PDF]
Light Sci ApplSui X, He Z, Chu D, Cao L.
europepmc +1 more source
EEG Microstate Analysis and the EEG Inverse Problem Solution as a Tool for Diagnosing Cognitive Dysfunctions in Individuals Who Have Had a Mild Form of COVID-19. [PDF]
Hum Physiol, 2022 Gulyaev SA.
europepmc +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
Advanced Materials Technologies, EarlyView.An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Unraveling biochemical spatial patterns: Machine learning approaches to the inverse problem of stationary Turing patterns. [PDF]
iScienceMatas-Gil A, Endres RG.
europepmc +1 more source
Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems [PDF]
, 2014 Anthony Bourrier +4 more
openalex +1 more source