← Back to work
Works cited by this work
85 works
Work: Unveiling the interaction mechanisms of cold atmospheric plasma and amino acids by machine learning
ReaxFF: A Reactive Force Field for Hydrocarbons
Adri C. T. van Duin, Siddharth Dasgupta, François Lorant +1
Article200115 citationsABIRepresentation Learning: A Review and New Perspectives
Yoshua Bengio, Aaron Courville, P. M. Durai Raj Vincent
Review article20137 citationsABIHydroxyl Radical-Mediated Modification of Proteins as Probes for Structural Proteomics
Review article20076 citationsABIMulti-level molecular modelling for plasma medicine
Annemie Bogaerts, N. Khosravian, Jonas Van der Paal +4
Article20155 citationsABIEffects of atmospheric nonthermal plasma on invasion of colorectal cancer cells
Chul-Ho Kim, Seyeoul Kwon, Jae Hoon Bahn +4
Article20102 citationsABIMachine learning for modeling, diagnostics, and control of non-equilibrium plasmas
Article20192 citationsABIOn the dose of plasma medicine: Equivalent total oxidation potential (ETOP)
He Cheng, Jiaxing Xu, Li Xu +2
Article20202 citationsABIElectrohydraulic Discharge and Nonthermal Plasma for Water Treatment
Bruce R. Locke, Masayuki Sato, P. Šunka +2
Article20052 citationsABIGeneration and propagation of radical reactions on proteins
Clare L. Hawkins, Michael J. Davies
Review article20012 citationsABIMedical image processing on the GPU – Past, present and future
Anders Eklund, Paul Dufort, Daniel Forsberg +1
Review article20132 citationsABIMachine learning and the physical sciences
Giuseppe Carleo, J. I. Cirac, K. Cranmer +5
Article20192 citationsABI