Results 161 to 170 of about 16,533 (261)

Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation

Advanced Materials, EarlyView.
A reconfigurable microfluidic platform based on soft, photo‐printable, and chemically erasable hydrogel structures printed and erased in situ is used to control flow routing, mixing, chemical patterning, and even chemical computing. Using hardware to control chemical computations decouples logic function from molecular composition, demonstrated via ...
Piet J. M. Swinkels, Brigitta Dúzs, Oliver Skarsetz, Kohei Nishiyama, Andreas Walther   +4 more
wiley   +1 more source

Performance analysis of a three-dimensional micromixer with baffles using a flexible physics-informed neural network. [PDF]

Sci Rep
Hassanzadeh M, Ghaderi E, Bijarchi MA.
europepmc   +1 more source

Vehicle State Estimation Combining Physics-Informed Neural Network and Unscented Kalman Filtering on Manifolds. [PDF]

Sensors (Basel), 2023
Tan C, Cai Y, Wang H, Sun X, Chen L.
europepmc   +1 more source

Cell Adhesion by Design: Engineering Tissue Culture Scaffolds With Adhesion Cues

Advanced Materials Interfaces, EarlyView.
ABSTRACT In scaffold‐based tissue engineering, the matrix should provide adequate adhesion cues for cell attachment, spreading, and function. Given the multitude of adhesion receptors and the diversity of scaffolds, there are many approaches to render scaffolds adhesive, even though they are not all equivalent.
Dalia Dranseike, Dhananjay V. Deshmukh, Mark W. Tibbitt, Céline Labouesse   +3 more
wiley   +1 more source

Physics-informed neural network with weighted loss and hard constraints for hyperbolic conservation laws. [PDF]

Sci Rep
Ghoreishi MS, Naderan H.
europepmc   +1 more source

Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment

Advanced Materials Interfaces, EarlyView.
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley   +1 more source

A physics-informed neural network framework for quantitative analysis of transcytosis and physical diffusion in an in vitro BBB. [PDF]

J Nanobiotechnology
Wang X, Shen B, Yang W, Wang X, Li C, Wu H.   +5 more
europepmc   +1 more source

Using a physics-informed neural network and fault zone acoustic monitoring to predict lab earthquakes. [PDF]

Nat Commun, 2023
Borate P, Rivière J, Marone C, Mali A, Kifer D, Shokouhi P.   +5 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

Physics-informed neural network modeling of shock waves by appropriately incorporating equation of state. [PDF]

Sci Rep
Mizuno Y, Misaka T, Furukawa Y.
europepmc   +1 more source