首页|Shanghai University Reports Findings in Artificial Intelligence (Automated Generation and Analysis of Molecular Images Using Generative Artificial Intelligence Models)
Shanghai University Reports Findings in Artificial Intelligence (Automated Generation and Analysis of Molecular Images Using Generative Artificial Intelligence Models)
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New research on Artificial Intelligence is the subject of a report. According to news reporting originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "The development of scanning probe microscopy (SPM) has enabled unprecedented scientific discoveries through high-resolution imaging. Simulations and theoretical analysis of SPM images are equally important as obtaining experimental images since their comparisons provide fruitful understandings of the structures and physical properties of the investigated systems." Our news editors obtained a quote from the research from Shanghai University, "So far, SPM image simulations are conventionally based on quantum mechanical theories, which can take several days in tasks of large-scale systems. Here, we have developed a scanning tunneling microscopy (STM) molecular image simulation and analysis framework based on a generative adversarial model, CycleGAN. It allows efficient translations between STM data and molecular models. Our CycleGAN-based framework introduces an approach for high-fidelity STM image simulation, outperforming traditional quantum mechanical methods in efficiency and accuracy."
ShanghaiPeople's Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine LearningScanning Tunneling Microscopy
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