Search Results - "Tetsassi Feugmo, Conrard Giresse"

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  1. 1

    Structural Investigation of DHICA Eumelanin Using Density Functional Theory and Classical Molecular Dynamics Simulations by Soltani, Sepideh, Sowlati-Hashjin, Shahin, Tetsassi Feugmo, Conrard Giresse, Karttunen, Mikko

    Published in Molecules (Basel, Switzerland) (01-12-2022)
    “…Eumelanin is an important pigment, for example, in skin, hair, eyes, and the inner ear. It is a highly heterogeneous polymer with…”
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    Journal Article
  2. 2

    Analyzing the Vibrational Signatures of Thiophenol Adsorbed on Small Gold Clusters by DFT Calculations by Tetsassi Feugmo, Conrard Giresse, Liégeois, Vincent

    Published in Chemphyschem (03-06-2013)
    “…Using density functional theory, we calculate the IR and Raman signatures of the thiophenol (TP) molecule adsorbed on gold clusters by mimicking the different…”
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  3. 3

    Machine-Learning-Driven High-Entropy Alloy Catalyst Discovery to Circumvent the Scaling Relation for CO2 Reduction Reaction by Chen, Zhi Wen, Gariepy, Zachary, Chen, Lixin, Yao, Xue, Anand, Abu, Liu, Szu-Jia, Tetsassi Feugmo, Conrard Giresse, Tamblyn, Isaac, Singh, Chandra Veer

    Published in ACS catalysis (16-12-2022)
    “…To achieve an equitable energy transition toward net-zero 2050 goals, the electrochemical reduction of CO2 (CO2RR) to chemical feedstocks through utilizing…”
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  4. 4

    Theoretical Investigation of Vibrational Sum-Frequency Generation Signatures of Functionalized HSi(111) by Tetsassi Feugmo, Conrard Giresse, Liégeois, Vincent, Champagne, Benoît

    Published in Journal of physical chemistry. C (12-02-2015)
    “…Developments toward a general approach for simulating and interpreting the sum-frequency generation signatures of functionalized surfaces are reported. This…”
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  5. 5

    Automatic graph representation algorithm for heterogeneous catalysis by Gariepy, Zachary, Chen, ZhiWen, Tamblyn, Isaac, Singh, Chandra Veer, Tetsassi Feugmo, Conrard Giresse

    Published in APL machine learning (01-09-2023)
    “…One of the most appealing aspects of machine learning for material design is its high throughput exploration of chemical spaces, but to reach the ceiling of…”
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    Journal Article
  6. 6

    Experimental and Computational Observations of Immunogenic Cobalt Porphyrin Lipid Bilayers: Nanodomain-Enhanced Antigen Association by Federizon, Jasmin, Feugmo, Conrard Giresse Tetsassi, Huang, Wei-Chiao, He, Xuedan, Miura, Kazutoyo, Razi, Aida, Ortega, Joaquin, Karttunen, Mikko, Lovell, Jonathan F

    Published in Pharmaceutics (14-01-2021)
    “…Cobalt porphyrin phospholipid (CoPoP) can incorporate within bilayers to enable non-covalent surface-display of antigens on liposomes by mixing with proteins…”
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  7. 7

    Towards modelling the vibrational signatures of functionalized surfaces: carboxylic acids on H-Si(111) surfaces by Feugmo, Conrard Giresse Tetsassi, Champagne, Benoît, Caudano, Yves, Cecchet, Francesca, Chabal, Yves J, Liégeois, Vincent

    Published in Journal of physics. Condensed matter (28-03-2012)
    “…In this work, we investigate the adsorption process of two carboxylic acids (stearic and undecylenic) on a H-Si(111) surface via the calculation of structural…”
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    Journal Article
  8. 8

    Neural evolution structure generation: High Entropy Alloys by Feugmo, Conrard Giresse Tetsassi, Ryczko, Kevin, Anand, Abu, Singh, Chandra Veer, Tamblyn, Isaac

    Published 02-03-2021
    “…We propose a method of neural evolution structures (NESs) combining artificial neural networks (ANNs) and evolutionary algorithms (EAs) to generate High…”
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  9. 9

    Free Energy and Stacking of Eumelanin Nanoaggregates by Soltani, Sepideh, Sowlati-Hashjin, Shahin, Tetsassi Feugmo, Conrard Giresse, Karttunen, Mikko

    Published in The journal of physical chemistry. B (03-03-2022)
    “…Eumelanin, a member of the melanin family, is a black-brown insoluble pigment. It possesses a broad range of properties such as antioxidation, free radical…”
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    Automatic graph representation algorithm for heterogeneous catalysis by Gariepy, Zachary, Chen, ZhiWen, Tamblyn, Isaac, Singh, Chandra Veer, Feugmo, Conrard Giresse Tetsassi

    Published 07-06-2023
    “…One of the most appealing aspects of machine learning for material design is its high throughput exploration of chemical spaces, but to reach the ceiling of…”
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    Journal Article