Results 61 to 70 of about 3,299,598 (299)
Studies on modified limited-memory BFGS method in full waveform inversion
Full waveform inversion (FWI) is a non-linear optimization problem based on full-wavefield modeling to obtain quantitative information of subsurface structure by minimizing the difference between the observed seismic data and the predicted wavefield. The
Meng-Xue Dai +3 more
doaj +1 more source
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
Towards full waveform ambient noise inversion [PDF]
ISSN:0956 ...
Sager, Korbinian +3 more
openaire +2 more sources
Immersed boundary parametrizations for full waveform inversion
23 pages, 21 ...
Tim Bürchner +3 more
openaire +3 more sources
This study presents a magneto‐mechanical strategy that incorporates FP@MSCs into an aligned PCL/GelMA nerve guidance conduit. Magnetic stimulation increases membrane tension in FP@MSCs, triggering cytoskeletal remodeling, Schwann cell‐like differentiation, and TIMP1 secretion. TIMP1 activates ITGB1/CD63–FAK signaling in NE‐4C cells, increasing membrane
Xinyu Zhu +14 more
wiley +1 more source
Optimal transport for seismic full waveform inversion [PDF]
Full waveform inversion is a successful procedure for determining properties of the earth from surface measurements in seismology. This inverse problem is solved by a PDE constrained optimization where unknown coefficients in a computed wavefield are adjusted to minimize the mismatch with the measured data.
Engquist, Bjorn +2 more
openaire +2 more sources
A degradable, skin‐conformal bioelectronic patch combines a starch‐dominated nanocomposite conductor with a gelatin substrate to enable sensitive strain sensing, high‐fidelity electrocardiography, electromyography, electrooculography, and machine‐learning‐assisted gesture control.
Ming Dong +10 more
wiley +1 more source
Optical Detection of Cellular Signals at Material Interfaces
Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren +5 more
wiley +1 more source
Full-waveform inversion on heterogeneous HPC systems [PDF]
We present a spectral-element implementation of full seismic waveform inversion for large heterogeneous HPC systems. In this we address the optimal parallelisation configurations of individual simulations, the large I/O requirements of adjoint simulations, and the scheduling of large numbers of forward and adjoint solves, typical for realistic ...
Alexey Gokhberg, Andreas Fichtner
openaire +2 more sources
Stretchable Microelectrode Arrays for Electro‐Mechanical Probing of Brain Spheroids
A multimodal device featuring kirigami‐patterned stretchable microelectrode arrays enables concurrent mechanical actuation and electrophysiological recording of brain spheroids. The platform supports multiple loading regimes and reveals mechanically induced modulation of spontaneous network activity in 3D neural tissue models.
Eleonora Martinelli +17 more
wiley +1 more source

