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Lambard, Guillaume
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1

Mining experimental data from materials science literature ..:

Foppiano, Luca ; Lambard, Guillaume ; Amagasa, Toshiyuki.
Science and Technology of Advanced Materials: Methods.  4 (2024)  1 - p. , 2024
Link: https://doi.org/10.1080/..
 
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2

Generation of highly realistic microstructural images of al..:

Lambard, Guillaume ; Yamazaki, Kazuhiko ; Demura, Masahiko
Scientific Reports.  13 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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3

Data-driven automated robotic experiments accelerate discov..:

Matsuda, Shoichi ; Lambard, Guillaume ; Sodeyama, Keitaro
Cell Reports Physical Science.  3 (2022)  4 - p. 100832 , 2022
Link: https://doi.org/10.1016/..
 
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4

Prediction of the coefficient of linear thermal expansion f..:

Gracheva, Ekaterina ; Lambard, Guillaume ; Samitsu, Sadaki..
Science and Technology of Advanced Materials: Methods.  1 (2021)  1 - p. 213-224 , 2021
Link: https://doi.org/10.1080/..
 
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5

SMILES-X: autonomous molecular compounds characterization f..:

Lambard, Guillaume ; Gracheva, Ekaterina
Machine Learning: Science and Technology.  1 (2020)  2 - p. 025004 , 2020
Link: https://doi.org/10.1088/..
 
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6

Mesoporous trimetallic PtPdAu alloy films toward enhanced e..:

Nugraha, Asep Sugih ; Lambard, Guillaume ; Na, Jongbeom...
Journal of Materials Chemistry A.  8 (2020)  27 - p. 13532-13540 , 2020
Link: https://doi.org/10.1039/..
 
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7

Machine-learning-assisted discovery of polymers with high t..:

Wu, Stephen ; Kondo, Yukiko ; Kakimoto, Masa-aki...
npj Computational Materials.  5 (2019)  1 - p. , 2019
Link: https://doi.org/10.1038/..
 
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8

Prediction and optimization of epoxy adhesive strength from..:

Pruksawan, Sirawit ; Lambard, Guillaume ; Samitsu, Sadaki..
Science and Technology of Advanced Materials.  20 (2019)  1 - p. 1010-1021 , 2019
Link: https://doi.org/10.1080/..
 
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9

iQSPR in XenonPy: A Bayesian Molecular Design Algorithm:

Wu, Stephen ; Lambard, Guillaume ; Liu, Chang..
Molecular Informatics.  39 (2019)  1-2 - p. , 2019
Link: https://doi.org/10.1002/..
 
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10

Microstructure and oxidation behavior of Co–Cr–Ta ternary a..:

Louis Etienne, Moreau ; Stéphane, Gorsse ; Guillaume, Lambard.
Journal of Alloys and Compounds.  936 (2023)  - p. 167968 , 2023
Link: https://doi.org/10.1016/..
 
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11

Mining experimental data from Materials Science literature ..:

Foppiano, Luca ; Lambard, Guillaume ; Amagasa, Toshiyuki.
hal-04407016.  , 2024
Link: https://hal.science/hal-..
 
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12

Mining experimental data from Materials Science literature ..:

Foppiano, Luca ; Lambard, Guillaume ; Amagasa, Toshiyuki.
http://arxiv.org/abs/2401.11052.  , 2024
Link: http://arxiv.org/abs/240..
 
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13

Generation of highly realistic microstructural images of al..:

Lambard, Guillaume ; Yamazaki, Kazuhiko ; Demura, Masahiko
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834308/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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14

SMILES-X: autonomous molecular compounds characterization f..:

Lambard, Guillaume ; Gracheva, Ekaterina
http://arxiv.org/abs/1906.09938.  , 2019
Link: http://arxiv.org/abs/190..
 
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15

iQSPR in XenonPy: A Bayesian Molecular Design Algorithm:

Wu, Stephen ; Lambard, Guillaume ; Liu, Chang..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050509/.  , 2019
Link: http://www.ncbi.nlm.nih...
 
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