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Flaviu Cipcigan
Flaviu Cipcigan
IBM Research
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations
P Das, T Sercu, K Wadhawan, I Padhi, S Gehrmann, F Cipcigan, ...
Nature Biomedical Engineering 5 (6), 613-623, 2021
2552021
Signature properties of water: Their molecular electronic origins
VP Sokhan, AP Jones, FS Cipcigan, J Crain, GJ Martyna
Proceedings of the National Academy of Sciences 112 (20), 6341-6346, 2015
632015
Hydrogen bonding and molecular orientation at the liquid–vapour interface of water
FS Cipcigan, VP Sokhan, AP Jones, J Crain, GJ Martyna
Physical Chemistry Chemical Physics 17 (14), 8660-8669, 2015
482015
Electronically coarse-grained model for water
A Jones, F Cipcigan, VP Sokhan, J Crain, GJ Martyna
Physical Review Letters 110 (22), 227801, 2013
352013
Structure and hydrogen bonding at the limits of liquid water stability
F Cipcigan, V Sokhan, G Martyna, J Crain
Scientific reports 8 (1), 1718, 2018
302018
Switching cytolytic nanopores into antimicrobial fractal ruptures by a single side chain mutation
K Hammond, F Cipcigan, K Al Nahas, V Losasso, H Lewis, J Cama, ...
ACS nano 15 (6), 9679-9689, 2021
242021
Molecular-scale remnants of the liquid-gas transition in supercritical polar fluids
VP Sokhan, A Jones, FS Cipcigan, J Crain, GJ Martyna
Physical review letters 115 (11), 117801, 2015
202015
Membrane binding of antimicrobial peptides is modulated by lipid charge modification
PW Simcock, M Bublitz, F Cipcigan, MG Ryadnov, J Crain, PJ Stansfeld, ...
Journal of Chemical Theory and Computation 17 (2), 1218-1228, 2021
172021
Electronic coarse graining: Predictive atomistic modeling of condensed matter
FS Cipcigan, J Crain, VP Sokhan, GJ Martyna
Reviews of Modern Physics 91 (2), 025003, 2019
172019
Electronically coarse-grained molecular dynamics using quantum Drude oscillators
AP Jones, J Crain, FS Cipcigan, VP Sokhan, M Modani, GJ Martyna
Molecular Physics 111 (22-23), 3465-3477, 2013
162013
Membrane permeability in cyclic peptides is modulated by core conformations
F Cipcigan, P Smith, J Crain, A Hogner, L De Maria, A Llinas, E Ratkova
Journal of Chemical Information and Modeling 61 (1), 263-269, 2020
142020
Accelerating molecular discovery through data and physical sciences: Applications to peptide-membrane interactions
F Cipcigan, AP Carrieri, EO Pyzer-Knapp, R Krishna, YW Hsiao, M Winn, ...
The Journal of Chemical Physics 148 (24), 2018
142018
Electronic coarse graining enhances the predictive power of molecular simulation allowing challenges in water physics to be addressed
FS Cipcigan, VP Sokhan, J Crain, GJ Martyna
Journal of Computational Physics 326, 222-233, 2016
142016
Accelerating antimicrobial discovery with controllable deep generative models and molecular dynamics
P Das, T Sercu, K Wadhawan, I Padhi, S Gehrmann, F Cipcigan, ...
arXiv preprint arXiv:2005.11248, 2020
132020
MacroConf–dataset & workflows to assess cyclic peptide solution structures
D Crusius, JR Schnell, F Cipcigan, PC Biggin
Digital Discovery 2 (4), 1163-1177, 2023
42023
Artificial intelligence designed antimicrobial peptides
P Das, F Cipcigan, JL Hedrick, YY Yang, K Wadhawan, I Padhi, EC Vijil, ...
US Patent App. 17/487,225, 2022
32022
Chemical space analysis and property prediction for carbon capture solvent molecules
JL McDonagh, S Zavitsanou, A Harrison, D Zubarev, T van Kessel, ...
Digital Discovery 3 (3), 528-543, 2024
12024
A Framework for Toxic PFAS Replacement based on GFlowNet and Chemical Foundation Model
E Soares, F Cipcigan, D Zubarev, EV Brazil
NeurIPS 2023 AI for Science Workshop, 2023
12023
Discovery of Novel Reticular Materials for Carbon Dioxide Capture using GFlowNets
F Cipcigan, J Booth, RNB Ferreira, CR Santo, M Steiner
NeurIPS 2023 AI for Materials, 2023
12023
MDLab: AI frameworks for carbon capture and battery materials
B Elmegreen, HF Hamann, B Wunsch, T Van Kessel, B Luan, T Elengikal, ...
Frontiers in Environmental Science 11, 1204690, 2023
12023
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