Results 161 to 170 of about 8,352,481 (299)
Additively Manufactured Bionic Cellular Metamaterials with Controllable Thermal Conductivity-Mathematical Models and Experimental Research. [PDF]
Anwajler B.
europepmc +1 more source
n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis +19 more
wiley +1 more source
Leveraging mathematical models to predict and control T-cell activation. [PDF]
Barreiro XR, Faro J, Villaverde AF.
europepmc +1 more source
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source
Mathematical and statistical methods in artificial intelligence
+110hlm ...
KRUSE, R. +3 more
core
Exploring epidemic control policies using nonlinear programming and mathematical models. [PDF]
Montes-Olivas S +3 more
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Bayesian-calibrated global sensitivity analysis for mathematical models using generative AI. [PDF]
Wang X.
europepmc +1 more source

