Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
Abstract: Finding new molecules with desirable properties has high computational and overhead costs. Much research has focused on generating candidate molecules in one- and two-dimensional spaces, ...
Proton collisions at the LHC appear wildly chaotic, but new data reveal a surprising underlying order. The findings confirm that a basic rule of quantum mechanics holds true even in extreme particle ...
Abstract: In this technical note, an adaptive model-predictive control (MPC) is proposed for a class of discrete-time linear systems with constant parametric uncertainties and control constraint. The ...
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The method of discretized light-cone quantization (DLCQ) is applied to quantum electrodynamics in one space and one time dimension (QED2) with different initial conditions. This leads to different ...