Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Naji, M.
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Shi, Y.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (26/26 displayed)

  • 2024Reactive passivation of wide-bandgap organic–inorganic perovskites with benzylamine11citations
  • 2024Improved reverse bias stability in p–i–n perovskite solar cells with optimized hole transport materials and less reactive electrodes30citations
  • 2023Statistical evaluation of the mechanical and flux trapping properties of standard and thin-wall EuBCO(Ag) bulk superconductorscitations
  • 2023Tunable unconventional kagome superconductivity in charge ordered RbV3Sb5 and KV3Sb5117citations
  • 2022The processing and properties of bulk (RE)BCO high temperature superconductors: Current status and future perspectivescitations
  • 2022Identification and mechanistic basis of non-ACE2 blocking neutralizing antibodies from COVID-19 patients with deep RNA sequencing and molecular dynamics simulations.2citations
  • 2022A cracking oxygen story: a new view of stress corrosion cracking in titanium alloys31citations
  • 2021AgCl-induced hot salt stress corrosion cracking in a titanium alloy23citations
  • 2021Roughening improves hydrogen embrittlement resistance of Ti-6Al-4V43citations
  • 2021A reliable technique to fabricate superconducting joints between single grain, Y–Ba–Cu–O bulk superconductorscitations
  • 2021<i>In Vitro</i> Development of Human iPSC-Derived Functional Neuronal Networks on Laser-Fabricated 3D Scaffolds.49citations
  • 2020Impact damage characteristics of carbon fibre metal laminates : experiments and simulationcitations
  • 2020Impact Damage Characteristics of Carbon Fibre Metal Laminates: Experiments and Simulation19citations
  • 2020Two-photon laser-written photoalignment layers for patterning liquid crystalline conjugated polymer orientation19citations
  • 2020Composite stacks for reliable > 17 T trapped fields in bulk superconductor magnetscitations
  • 2020Characterisation of the mechanical failure and fracture mechanisms of single grain Y-Ba-Cu-O bulk superconductorscitations
  • 2019Characterization of hardness and stiffness of ceramic matrix composites through instrumented indentation test14citations
  • 2018A phase field method for modeling anodic dissolution induced stress corrosion crack propagation70citations
  • 2017Improvements in the processing of large grain, bulk Y–Ba–Cu–O superconductors via the use of additional liquid phasecitations
  • 2017Multiple Cracks Interactions in Stress Corrosion Cracking: In Situ Observation by Digital Image Correlation and Phase Field Modeling2citations
  • 2016The use of buffer pellets to pseudo hot seed (RE)-Ba-Cu-O-(Ag) single grain bulk superconductorscitations
  • 2016Role of Associated Defects in Oxygen Ion Conduction and Surface Exchange Reaction for Epitaxial Samaria-Doped Ceria Thin Films as Catalytic Coatings43citations
  • 2014Interface cohesive elements to model matrix crack evolution in composite laminates28citations
  • 2014Modelling impact damage in composite laminates: A simulation of intra- and inter-laminar cracking151citations
  • 2012Modelling damage evolution in composite laminates subjected to low velocity impact579citations
  • 20127.3 Gbit/s transmission over microstructured polymer optical fiber for in-home networks7citations

Places of action

Chart of shared publication
Taddei, M.
1 / 9 shared
Kilbride, R. C.
1 / 4 shared
Wang, J.
2 / 86 shared
Marshall, A. R.
1 / 2 shared
Therdkatanyuphong, P.
1 / 1 shared
Zhang, J.
1 / 62 shared
Kubicki, D. J.
1 / 1 shared
Snaith, H. J.
1 / 37 shared
Barlow, S.
2 / 15 shared
Gallant, B. M.
1 / 1 shared
Marder, S. R.
1 / 5 shared
Drysdale, J. N.
1 / 1 shared
Ginger, D. S.
1 / 3 shared
Dasgupta, A.
1 / 10 shared
Smith, J.
1 / 17 shared
Zhou, S.
1 / 15 shared
Mccarthy, D. P.
1 / 1 shared
Christoforo, Mg
1 / 5 shared
Mackenzie, Jd
1 / 1 shared
Contreras, H.
1 / 3 shared
Rana, Tr
1 / 1 shared
Mohite, Ad
1 / 1 shared
Marder, Sr
1 / 13 shared
Terlier, T.
1 / 1 shared
Yaman, My
1 / 1 shared
Snaith, Hj
1 / 53 shared
Mandani, F.
1 / 1 shared
Mccarthy, Dp
1 / 1 shared
Ginger, Ds
1 / 2 shared
Jiang, F.
1 / 2 shared
Smith, Ja
1 / 13 shared
Morales, D.
1 / 2 shared
Gould, Ie
1 / 3 shared
Mcgehee, Md
1 / 1 shared
Cardwell, Da
7 / 15 shared
Baumann, J.
1 / 1 shared
Hlásek, T.
1 / 11 shared
Lojka, M.
1 / 1 shared
Durrell, Jh
6 / 14 shared
Dennis, A.
1 / 4 shared
Fernandes, Rafael
1 / 1 shared
Gong, C.
1 / 6 shared
Khasanov, Rustem
1 / 3 shared
Luetkens, Hubertus
1 / 10 shared
Mielke Iii, Charles
1 / 1 shared
Elender, M.
1 / 2 shared
Das, Debarchan
1 / 1 shared
Amato, Alex
1 / 7 shared
Tu, Z.
1 / 1 shared
Christensen, M. H.
1 / 1 shared
Shumiya, N.
1 / 1 shared
Yin, J.-X.
1 / 1 shared
Hossain, Md Shafayat
1 / 1 shared
Gamsakhurdashvili, Ts.
1 / 1 shared
Dai, Pengcheng
1 / 5 shared
Yin, Q.
1 / 8 shared
Liu, H.
1 / 39 shared
Namburi, Dk
2 / 5 shared
Wg, Cioffi
1 / 1 shared
Ayala, A.
1 / 1 shared
Wg, Fairbrother
1 / 1 shared
Liu, J.
1 / 87 shared
Kw, East
1 / 1 shared
Maschietto, F.
1 / 1 shared
Gj, Nau
1 / 1 shared
Mm, Levy
1 / 1 shared
Vs, Batista
1 / 1 shared
Am, Fredericks
1 / 1 shared
Gp, Lisi
1 / 1 shared
Sf, Monaghan
1 / 1 shared
Cohen, M.
1 / 2 shared
Ct, Lefort
1 / 1 shared
Chang, Y.
1 / 13 shared
Gault, B.
1 / 81 shared
Raabe, D.
1 / 79 shared
Joseph, S.
3 / 9 shared
Kontis, P.
1 / 11 shared
Dye, D.
3 / 58 shared
Walker, A.
1 / 8 shared
Lindley, Tc
1 / 3 shared
Saunders, Ea
1 / 3 shared
Sandala, Rs
1 / 1 shared
Hall, D.
1 / 3 shared
Chater, Rj
1 / 4 shared
Fearn, S.
1 / 7 shared
Yan, H.
1 / 12 shared
Kim, J.
1 / 44 shared
Tasan, Cc
1 / 2 shared
Congreve, Jvj
3 / 6 shared
Bumby, Cw
1 / 1 shared
Dennis, Ar
5 / 12 shared
Druiff, H.
1 / 1 shared
Koroleva, Anastasia
1 / 2 shared
Aa, Ludl
1 / 1 shared
Soriano, J.
1 / 2 shared
Koch, L.
1 / 4 shared
Ponimaskin, E.
1 / 1 shared
Chichkov, B.
1 / 6 shared
El-Tamer, Ayman
1 / 4 shared
Estévez-Priego, E.
1 / 1 shared
Deiwick, A.
1 / 1 shared
Guseva, D.
1 / 2 shared
Pinna, C.
3 / 26 shared
Soutis, C.
1 / 18 shared
Soutis, Costas
4 / 356 shared
Salter, Ps
1 / 3 shared
Morris, Sm
1 / 3 shared
Li, M.
1 / 37 shared
Bradley, Ddc
1 / 7 shared
Elston, Sj
1 / 2 shared
Taylor, Ra
1 / 5 shared
Zhou, D.
1 / 10 shared
Boll, M.
1 / 1 shared
Jaroszynski, J.
1 / 26 shared
Hellstrom, Ee
1 / 2 shared
Huang, Ky
2 / 2 shared
Filipenko, M.
1 / 1 shared
Ainslie, Md
1 / 13 shared
Srpčič, J.
1 / 1 shared
Neubrand, A.
1 / 6 shared
Koch, D.
1 / 12 shared
King, A.
2 / 44 shared
Bolivar, J.
2 / 4 shared
Nguyen, T-T.
1 / 1 shared
Buffiere, Jean-Yves
1 / 51 shared
Réthoré, Julien
2 / 56 shared
Baietto, Marie-Christine
1 / 40 shared
Fregonese, Marion
2 / 27 shared
Adrien, J.
2 / 13 shared
Huin, N.
1 / 3 shared
Buffiere, Jy
1 / 1 shared
Nguyen, Tt
1 / 2 shared
Zhao, W.
1 / 8 shared
Kumar Namburi, D.
1 / 1 shared
Rupp, Jlm
1 / 2 shared
Balestrino, Giuseppe
1 / 15 shared
Aruta, Carmela
1 / 4 shared
Yang, Nan
1 / 4 shared
Schweiger, S.
1 / 1 shared
Kalinin, Sv
1 / 7 shared
Belianinov, A.
1 / 2 shared
Orgiani, P.
1 / 12 shared
Foglietti, V.
1 / 11 shared
Strelcov, E.
1 / 3 shared
Pinna, Christophe
1 / 10 shared
Swait, T.
1 / 3 shared
Argyros, A.
1 / 4 shared
Leon-Saval, S. G.
1 / 1 shared
Lwin, R.
1 / 2 shared
Koonen, A. M. J.
1 / 1 shared
Okonkwo, C. M.
1 / 1 shared
Tangdiongga, E.
1 / 1 shared
Chart of publication period
2024
2023
2022
2021
2020
2019
2018
2017
2016
2014
2012

Co-Authors (by relevance)

  • Taddei, M.
  • Kilbride, R. C.
  • Wang, J.
  • Marshall, A. R.
  • Therdkatanyuphong, P.
  • Zhang, J.
  • Kubicki, D. J.
  • Snaith, H. J.
  • Barlow, S.
  • Gallant, B. M.
  • Marder, S. R.
  • Drysdale, J. N.
  • Ginger, D. S.
  • Dasgupta, A.
  • Smith, J.
  • Zhou, S.
  • Mccarthy, D. P.
  • Christoforo, Mg
  • Mackenzie, Jd
  • Contreras, H.
  • Rana, Tr
  • Mohite, Ad
  • Marder, Sr
  • Terlier, T.
  • Yaman, My
  • Snaith, Hj
  • Mandani, F.
  • Mccarthy, Dp
  • Ginger, Ds
  • Jiang, F.
  • Smith, Ja
  • Morales, D.
  • Gould, Ie
  • Mcgehee, Md
  • Cardwell, Da
  • Baumann, J.
  • Hlásek, T.
  • Lojka, M.
  • Durrell, Jh
  • Dennis, A.
  • Fernandes, Rafael
  • Gong, C.
  • Khasanov, Rustem
  • Luetkens, Hubertus
  • Mielke Iii, Charles
  • Elender, M.
  • Das, Debarchan
  • Amato, Alex
  • Tu, Z.
  • Christensen, M. H.
  • Shumiya, N.
  • Yin, J.-X.
  • Hossain, Md Shafayat
  • Gamsakhurdashvili, Ts.
  • Dai, Pengcheng
  • Yin, Q.
  • Liu, H.
  • Namburi, Dk
  • Wg, Cioffi
  • Ayala, A.
  • Wg, Fairbrother
  • Liu, J.
  • Kw, East
  • Maschietto, F.
  • Gj, Nau
  • Mm, Levy
  • Vs, Batista
  • Am, Fredericks
  • Gp, Lisi
  • Sf, Monaghan
  • Cohen, M.
  • Ct, Lefort
  • Chang, Y.
  • Gault, B.
  • Raabe, D.
  • Joseph, S.
  • Kontis, P.
  • Dye, D.
  • Walker, A.
  • Lindley, Tc
  • Saunders, Ea
  • Sandala, Rs
  • Hall, D.
  • Chater, Rj
  • Fearn, S.
  • Yan, H.
  • Kim, J.
  • Tasan, Cc
  • Congreve, Jvj
  • Bumby, Cw
  • Dennis, Ar
  • Druiff, H.
  • Koroleva, Anastasia
  • Aa, Ludl
  • Soriano, J.
  • Koch, L.
  • Ponimaskin, E.
  • Chichkov, B.
  • El-Tamer, Ayman
  • Estévez-Priego, E.
  • Deiwick, A.
  • Guseva, D.
  • Pinna, C.
  • Soutis, C.
  • Soutis, Costas
  • Salter, Ps
  • Morris, Sm
  • Li, M.
  • Bradley, Ddc
  • Elston, Sj
  • Taylor, Ra
  • Zhou, D.
  • Boll, M.
  • Jaroszynski, J.
  • Hellstrom, Ee
  • Huang, Ky
  • Filipenko, M.
  • Ainslie, Md
  • Srpčič, J.
  • Neubrand, A.
  • Koch, D.
  • King, A.
  • Bolivar, J.
  • Nguyen, T-T.
  • Buffiere, Jean-Yves
  • Réthoré, Julien
  • Baietto, Marie-Christine
  • Fregonese, Marion
  • Adrien, J.
  • Huin, N.
  • Buffiere, Jy
  • Nguyen, Tt
  • Zhao, W.
  • Kumar Namburi, D.
  • Rupp, Jlm
  • Balestrino, Giuseppe
  • Aruta, Carmela
  • Yang, Nan
  • Schweiger, S.
  • Kalinin, Sv
  • Belianinov, A.
  • Orgiani, P.
  • Foglietti, V.
  • Strelcov, E.
  • Pinna, Christophe
  • Swait, T.
  • Argyros, A.
  • Leon-Saval, S. G.
  • Lwin, R.
  • Koonen, A. M. J.
  • Okonkwo, C. M.
  • Tangdiongga, E.
OrganizationsLocationPeople

article

Identification and mechanistic basis of non-ACE2 blocking neutralizing antibodies from COVID-19 patients with deep RNA sequencing and molecular dynamics simulations.

  • Wg, Cioffi
  • Ayala, A.
  • Wg, Fairbrother
  • Liu, J.
  • Kw, East
  • Maschietto, F.
  • Wang, J.
  • Gj, Nau
  • Mm, Levy
  • Vs, Batista
  • Am, Fredericks
  • Gp, Lisi
  • Sf, Monaghan
  • Cohen, M.
  • Ct, Lefort
  • Shi, Y.
Abstract

Variants of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) continue to cause disease and impair the effectiveness of treatments. The therapeutic potential of convergent neutralizing antibodies (NAbs) from fully recovered patients has been explored in several early stages of novel drugs. Here, we identified initially elicited NAbs (Ig Heavy, Ig lambda, Ig kappa) in response to COVID-19 infection in patients admitted to the intensive care unit at a single center with deep RNA sequencing (>100 million reads) of peripheral blood as a diagnostic tool for predicting the severity of the disease and as a means to pinpoint specific compensatory NAb treatments. Clinical data were prospectively collected at multiple time points during ICU admission, and amino acid sequences for the NAb CDR3 segments were identified. Patients who survived severe COVID-19 had significantly more of a Class 3 antibody (C135) to SARS-CoV-2 compared to non-survivors (15059.4 vs. 1412.7, <i>p</i> = 0.016). In addition to highlighting the utility of RNA sequencing in revealing unique NAb profiles in COVID-19 patients with different outcomes, we provided a physical basis for our findings <i>via</i> atomistic modeling combined with molecular dynamics simulations. We established the interactions of the Class 3 NAb C135 with the SARS-CoV-2 spike protein, proposing a mechanistic basis for inhibition <i>via</i> multiple conformations that can effectively prevent ACE2 from binding to the spike protein, despite C135 not directly blocking the ACE2 binding motif. Overall, we demonstrate that deep RNA sequencing combined with structural modeling offers the new potential to identify and understand novel therapeutic(s) NAbs in individuals lacking certain immune responses due to their poor endogenous production. Our results suggest a possible window of opportunity for administration of such NAbs when their full sequence becomes available. A method involving rapid deep RNA sequencing of patients infected with SARS-CoV-2 or its variants at the earliest infection time could help to develop personalized treatments using the identified specific NAbs.

Topics
  • simulation
  • molecular dynamics