Free interactive tool uses particle physics-inspired Burkeanomics to predict prosperity impacts from policies in the ...
A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been ...
Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...
Overview: Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...
Standardizing calculations of the helium byproducts generated in advanced fission and fusion energy system materials can increase reactor safety and longevity, according to a study led by University ...
Actively Developing: In the long term, we aim to develop a comprehensive physics simulator focused on real-to-sim, serving as an easy-to-use platform for XR, VR, and robotics applications. Feel free ...
ManiDreams implements a planning paradigm where a virtual constraint (cage) bounds object states during action selection. At each timestep, the framework generates candidate actions, predicts outcomes ...
Abstract: Superconducting detectors with sub-eV energy resolution have demonstrated success setting limits on Beyond the Standard Model (BSM) physics due to their unique sensitivity to low-energy ...
Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...
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