Solid materials used as heterogeneous catalysts are of crucial importance to pharmaceutical, (petro)chemical and environmental industries: the fabrication of more than 85% of all transportation fuels ...
Nanoparticle sintering during catalytic reactions is a major cause for catalyst deactivation. Understanding its atomic-scale processes and finding strategies to reduce it is of paramount scientific ...
A research team led by Dr. Kee Young Koo from the Hydrogen Research Department at the Korea Institute of Energy Research ...
Enhanced drag prediction models can improve processes like sedimentation, filtration, and propulsion, making systems more efficient. The findings from this research are expected to lead to ...
This work presents an AI-based world model framework that simulates atomic-level reconstructions in catalyst surfaces under dynamic conditions. Focusing on AgPd nanoalloys, it leverages Dreamer-style ...
Hannah Osborne is Nesweek's Science Editor, based in London, UK. Hannah joined Newsweek in 2017 from IBTimes UK. She is a graduate of Goldsmiths University and King's College London. Languages; ...
Particle methods are popular computational tools for Bayesian inference in nonlinear non-Gaussian state space models. For this class of models, we present two particle algorithms to compute the score ...
For the past half century or so, a theory known by the understated name of the Standard Model has dominated the field of particle physics. This theory provides us with a detailed description of the 17 ...
Solving Bayesian estimation problems where the posterior distribution evolves over time through the accumulation of data has many applications for dynamic models. A large number of algorithms based on ...
Managers at the CERN laboratory in Switzerland have decided to scrap the machine which caught a glimpse of the long-sought Higgs boson earlier this year. The flagship accelerator had been granted a ...
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