The success of a molecular dynamics simulation depends on the accuracy of the force field used to define the atomic interactions. It is challenging to train both classical and modern machine-learning ...

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Impedance characterizes the macroscopic electric current response of electrochemical cells such as batteries and supercapacitors. While readily obtainable from experiments, interpreting impedance in ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.iecr.4c04326. Materials, characterizations, synthesis of MOFs ...

The essence of the biological world lies in the ever-changing nature of its molecules and their interactions. Understanding the dynamics and interactions of biomolecules is crucial for deciphering the ...

Abstract: With the advancement of wireless communication to sub-terahertz (THz) and millimeter-wave (mmWave) bands, accurate channel models and simulation tools are becoming increasingly important for ...

Hello, everyone! I have trained one PhysNet model on the solvated_protein_fragments.npz data. Now I want to conduct the MD simulations based on the model through ASE environment. The simulation system ...

Abstract: This tutorial presents an end-to-end modular framework for signal processing techniques used in radar systems. The taxonomy of radar has been reviewed, as well as the subsystems of radar.

Shale oil has recently received considerable attention as a promising energy source due to its substantial reserves. However, the recovery of shale oil presents numerous challenges due to the ...