CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has ...

The Python package PhaseFieldX, developed by researcher Miguel Castillón at IMDEA Materials Institute, has been published in ...

Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...

Context engineering—the art of shaping the data, metadata, and relationships that feed AI—may become the most critical discipline in tech. This is like gold for those of us in the FinTech data ...

With teacups, a Python simulation routine for the simulation of time-resolved EPR spectra of spin-polarized species has been developed. It is possible to simulate powder spectra or spectra of oriented ...

--MicroAlgo Inc.,, today announced the introduction of an innovative solution: a multi-simulator collaborative algorithm based on subgraph isomorphism, aimed at overcoming the limitations of qubit ...

The multi-simulator collaborative subgraph isomorphism algorithm developed by MicroAlgo provides an innovative solution for the field of quantum computing.

Based on our results, we recommend Graph Neural Networks for physics simulation workloads. The TF-GNN API has a steep initial learning curve for using its data layer, especially if there is no data ...

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