首页|Aristotle University of Thessaloniki Reports Findings in Machine Learning (Harne ssing machine learning for efficient large-scale interatomic potential for silde nafil and pharmaceuticals containing H, C, N, O, and S)
Aristotle University of Thessaloniki Reports Findings in Machine Learning (Harne ssing machine learning for efficient large-scale interatomic potential for silde nafil and pharmaceuticals containing H, C, N, O, and S)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting originating in Thessaloniki, Greece, by NewsRx journalists, research stated, “In this study a cutting-edge approach to p roducing accurate and computationally efficient interatomic potentials using mac hine learning algorithms is presented. Specifically, the study focuses on the ap plication of Allegro, a novel machine learning algorithm, running on high-perfor mance GPUs for training potentials.” Financial support for this research came from European Cooperation in Science an d Technology.
ThessalonikiGreeceEuropeAgents For Pulmonary HypertensionCardiovascular AgentsCyborgsDrugs and TherapiesEm erging TechnologiesGenitourinary Tract AgentsHealth and MedicineImpotence AgentsMachine LearningMolecular DynamicsPharmaceuticalsPhosphodiesterase InhibitorsPhysicsSildenafil TherapyVasodilator Agents
NETL
NSTL
