Results 211 to 220 of about 8,084,029 (292)

A Physics-Informed Neural Network Framework Integrating Soft and Hard Constraints for Predicting Biomass Gasification Syngas Compositions. [PDF]

ACS Omega
Zou Q, Huang H, Liu X, Ding J, Ren S, Si F.   +5 more
europepmc   +1 more source

3D Printed Photon Shield Assembly for Low‐Noise Visual Stimulation During Two‐Photon Imaging in Mice

Advanced Materials Technologies, EarlyView.
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, Andrea Slézia, András Dávid, Ábel Petik, Dániel Hillier, István Ulbert, Attila Kaszás   +6 more
wiley   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
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, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Multi-Modal Physics-Informed Neural Network for Single-Track Geometry Prediction in Powder-Bed Arc Additive Manufacturing of 316L Stainless Steel. [PDF]

Materials (Basel)
Balcı A.
europepmc   +1 more source

Recent Advances in Transparent Microelectrode Device Architecture and Fabrication Strategies for Biomedical Applications

Advanced Materials Technologies, EarlyView.
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, Tran Bach Dang, Chi Cong Nguyen, Yee Lap Pong, Tianruo Guo, Thanh Nho Do, Hoang‐Phuong Phan   +6 more
wiley   +1 more source

Correction: A Physics Informed Neural Network (PINN) framework for fractional order modeling of Alzheimer's disease. [PDF]

Front Neuroinform
Mehmood A, Farman M, Afzal F, Nisar KS, Ahmed MA, Hafez M.   +5 more
europepmc   +1 more source

Multidimensional Heat‐Path Engineering in Thermal Interface Materials for High‐Performance Electronics

Advanced Materials Technologies, EarlyView.
This review presents multidimensional heat‐path engineering for thermal interface materials, showing how internal heat transport, interfacial contact and bondline formation, and processing‐defined pathway architectures together determine bonded‐joint thermal performance.
Jinsoo Na, Jaeho Seo, Sungwoo Yang, Wonjin Lee, James Sangmin Choo, Sangjae Kim, Sanghyun Park, Juhyuk Park   +7 more
wiley   +1 more source

A Physics Informed Neural Network (PINN) framework for fractional order modeling of Alzheimer's disease. [PDF]

Front Neuroinform
Mehmood A, Farman M, Afzal F, Nisar KS, Ahmed MA, Hafez M.   +5 more
europepmc   +1 more source

Microscale 3D‐Printed Digital Strain Switches for Embedded Mechanical Computation

Advanced Materials Technologies, EarlyView.
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, Daniel Quinn, Gabriel Smith, Sarah Bergbreiter   +3 more
wiley   +1 more source

Fractional order modeling of hepatitis C transmission dynamics with physics-informed neural network solutions. [PDF]

BMC Infect Dis
Muthupandi V, Gnanaprakasam AJ, Boulaaras S.   +2 more
europepmc   +1 more source