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7篇 您的检索式:作者名="Hermansson U"
    题名 作者 年代 出处 被引量
1The effect of equex STM paste andsperm morphology on postthaw survival of cat epididymal spermatozoa 显示文摘Axner E Hermansson U Linde-Forsberg C 2004Anim Reprod Sci2004,84,12:1
2Video-assisted thoracic surgery ( VATS ) lobectomy : the initial Swedish experience显示文摘Hermansson U Konstantinov IE Aren C 1998Sem Thorac Cardiovasc Surg1998,10,:1
3Freezing of stored,chilled dog spermatozoa显示文摘Hermansson U Linde Forsberg C 2006Theriogenology2006,65,:1
4Mass spectrometric analysis reveals changes in phospholipid, neutral sphingohpid and sulfatide molecular species in progressive epilepsy with mental retardation, EPMR, brain : a case study 显示文摘Hermansson M Kakela R Berghall M Lehesjoki AE Somerharju P Lahtinen U 2005J Neurochem2005,95,3:1
5Freezing of stored, chilled dog spermatozoa显示文摘Hermansson U Forsberg CL 2006Theriogenology2006,65,:1
6Urodynamic pattern in asymptomatic infants: siblings of children with vesicoureteral reflux显示文摘Bachelard M Sillen U Hansson S Hermansson G Jodal U Jacobsson B 1999J Urol1999,162,5:1
7Machine learning force fields for molecular liquids: Ethylene Carbonate/Ethyl Methyl Carbonate binary solvent显示文摘Highly accurate ab initio molecular dynamics(MD)methods are the gold standard for studying molecular mechanisms in the condensed phase,however,they are too expensive to capture many key properties that converge slowly with respect to simulation length and time scales.Machine learning(ML)approaches which reach the accuracy of ab initio simulation,and which are,at the same time,sufficiently affordable hold the key to bridging this gap.In this work we present a robust ML potential for the EC:EMC binary solvent,a key component of liquid electrolytes in rechargeable Li-ion batteries.We identify the necessary ingredients needed to successfully model this liquid mixture of organic molecules.In particular,we address the challenge posed by the separation of scale between intra-and inter-molecular interactions,which is a general issue in all condensed phase molecular systems.Ioan-Bogdan Magdău Daniel JArismendi-Arrieta Holly ESmith Clare PGrey Kersti Hermansson Gábor Csányi 2023npj Computational Materials2023,,1:0
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