Bayesian optimization (BO) can help determine the optimal deposition conditions for high-performance passivation films in solar cells. However, simple implementations tend to suggest excessively thick ...
No matter what kind of traditional HPC simulation and modeling system you have, no matter what kind of fancy new machine learning AI system you have, IBM has an appliance that it wants to sell you to ...
A research group led by Prof. Sun Xiaobing from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, investigated the impact of multiangular polarimetry on the quantification ...
The two companies will build a research environment that makes small-molecule synthesis faster, cheaper, and less repetitive.
An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.
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Energy efficiency alone cannot justify trade-offs that might undermine safety. To ensure robust performance under all conditions, the researchers integrated a reinforcement learning–based decision ...
This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...