High Throughput Aerosol Jet Printing to Operationalize High Aspect Ratio Patterning
High‐throughput aerosol jet printing poses distinct limiting mechanisms to the printing process. These include rapidly changing ink chemistries, atomization instabilities, and liquid‐phase spreading. The combination of in‐line heating, process monitoring, and traditional optimization procedures enables rapid printing of high‐aspect‐ratio structures ...
Bella I. Guyll +4 more
wiley +1 more source
Gradient-Driven Physics Informed Neural Networks for Conduction Heat Transfer and Incompressible Laminar Flow. [PDF]
Lu T +5 more
europepmc +1 more source
3D Printed Photon Shield Assembly for Low‐Noise Visual Stimulation During Two‐Photon Imaging in Mice
We present the Photon Shield, an open‐hardware system for low‐noise two‐photon calcium imaging during visual stimulation in mice. Combining a 3D‐printed headplate and rail‐mounted shield substantially reduces stray‐light contamination, as quantitatively verified. Functional validation confirms reliable cortical responses. Open design files enable broad
Gergely Katona +6 more
wiley +1 more source
A Nonlinear Error Compensation Method for Heterodyne Interferometry Based on Self-Supervised Physics-Informed Neural Networks with Frequency-Domain Priors. [PDF]
Wang Y +6 more
europepmc +1 more source
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
Investigating the use of physics informed neural networks for dam-break scenarios. [PDF]
Mumtaz K +3 more
europepmc +1 more source
Transparent microelectrode arrays enable simultaneous optical and electrical electrophysiology with high spatiotemporal resolution, allowing multimodal observations of dynamic biological systems. Advances in materials and device architectures improve device performance by addressing key trade‐offs between optical transparency, impedance, and ...
Michael Abraham Listyawan +6 more
wiley +1 more source
Low-Temperature Prediction in Commercial Lithium-Ion Batteries during Dynamic Usage via Enhanced Physics-Informed Neural Networks. [PDF]
Pereira EL, Soares DM.
europepmc +1 more source
Microscale 3D‐Printed Digital Strain Switches for Embedded Mechanical Computation
Microscale 3D‐printed strain switches on flexible films convert deformation into native digital signals at geometry defined thresholds. A closed form model predicts switching from 3000 to 15 000 microstrain and is validated across 110 devices. Reliable ohmic closure and strain activated AND, OR, and XOR logic point toward low‐power mechanical ...
Regan Kubicek +3 more
wiley +1 more source
Physics-Informed Neural Networks in Polymers: A Review. [PDF]
Malashin I +4 more
europepmc +1 more source

