Constructing out-of-equilibrium molecular assemblies that deviate from thermodynamic equilibrium is a central challenge in ...
The dream of creating game-changing quantum computers—supermachines that encode information in single atoms rather than ...
Abstract: Causal inference is an important field in data science and cognitive artificial intelligence. It requires the construction of complex probabilistic models to describe the causal ...
Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Abstract: In this paper, a mesh-free method based on physicsinformed neural network (PINN) is presented for time-domain electromagnetic simulations. This PINN method employs the weighted Laguerre ...
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