Results 191 to 200 of about 11,198,121 (288)

Hybrid physics-informed machine learning framework for calibration-free degradation prediction of lithium-ion batteries. [PDF]

Sci Rep
Eltamaly AM, Almutairi Z.
europepmc   +1 more source

Neuromorphic Training of VO2 Device at Behavioral Timescale Inspired by the Plasticity of CA1 Neurons of Live Mouse Brain

Advanced Materials Interfaces, EarlyView.
A VO2 device can act as a functional analog for behavioral timescale synaptic plasticity noted in the mouse brain by current pulsing. ABSTRACT Realizing biologically relevant plasticity rules in hardware is a central goal in neuromorphic computing.
Siddharth Kumar, Mohamed Adel, Christine Grienberger, Shriram Ramanathan   +3 more
wiley   +1 more source

Cross-material physics-informed machine learning framework for optimizing nanofiller loading in epoxy nanocomposites for high-voltage insulation. [PDF]

Sci Rep
Ezzat M, Ramadan M, Abd-Allah MA, El-Gamal SMA, Said A.   +4 more
europepmc   +1 more source

Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications

Advanced Materials Technologies, EarlyView.
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley   +1 more source

A Physics-Informed Machine Learning Framework for Modeling Biaxial Strain-Induced Band Gap Variation in Zig-Zag Single-Walled Carbon Nanotubes. [PDF]

Nanomaterials (Basel)
Vardar N.
europepmc   +1 more source

Leveraging Mechanical Resonances for the Selection of Promising Materials in Complex Phase Spaces

Advanced Materials Technologies, EarlyView.
A central challenge in materials science is the design of new functional materials with enhanced performance for targeted applications. This paper demonstrates that “listening” to materials through measuring their mechanical resonances is a rich, and largely untapped, platform for the rapid identification of promising novel compounds and a powerful ...
Christopher A. Mizzi, Osman El‐Atwani, Tannor T. J. Munroe, Saryu Fensin, Boris Maiorov   +4 more
wiley   +1 more source

Physics informed machine learning for predictive toxicology and optimization of curcumin nanocarriers. [PDF]

Sci Rep
Rahdar A, Fathi-Karkan S.
europepmc   +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

Differentiable multiphase flow model for physics-informed machine learning in reservoir pressure management. [PDF]

Sci Rep
Ur Rashid H, Pachalieva A, O'Malley D.
europepmc   +1 more source

In‐House Manufacturing of 3D ECM Culture Chips via Vacuum Thermoforming for Enhanced Imaging Applications

Advanced Materials Technologies, EarlyView.
Desktop vacuum thermoforming enables rapid, low‐cost fabrication of 96‐channel polystyrene culture chips with very thin imaging interfaces. The resulting platform supports cell lines, primary cells, and patient‐derived organoids, and enables high‐resolution confocal microscopy and single‐cell visualization, providing an accessible approach for advanced
Aleksandra Fomina, Adam Tam, Jennifer Lam, Nila C. Wu, Nancy T. Li, Alison P. McGuigan   +5 more
wiley   +1 more source