P. Villars

Fonctionnement et Conduite des Systèmes de Culture Tropicaux et Méditerranéens — France

Chemistry · Physical Sciences

30h-index8.6kcitations361works2.02yr avg
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Research Topics

Inorganic Chemistry and Materials(71), X-ray Diffraction in Crystallography(63), Rare-earth and actinide compounds(48), Crystal Structures and Properties(46), Machine Learning in Materials Science(35)

Publications361 total

Phase Prediction via Crystal Structure Similarity in the Periodic Number Representation
Inorganic Chemistry·2024
A comprehensive data network for data-driven study of battery materials
Science and Technology of Advanced Materials·2024· 4 citedOpen Access
Periodic table representation of binary, ternary and higher-order systems of inorganic compounds
Journal of Alloys and Compounds·2023· 3 cited
Demande de conseil en hausse au cabinet gyncologique
Bulletin des Médecins Suisses·2023Open Access
Beratungsbedarf in der Gynkologie auf hohem Niveau
Schweizerische Ärztezeitung·2023Open Access
Periodic Table Representation of Binary, Ternary and Higher-Order Systems of Inorganic Compounds
SSRN Electronic Journal·2023Open Access
Equiatomic binary phases of Copper‐Rare Earth Elements. An overview of monocuprides from first‐principles calculations
ChemPhysChem·2022· 5 cited
Removal of nonpalpable etonogestrel implants after fixation with a curved needle—A case series,
Contraception·2021· 7 citedOpen Access
Data-driven relationship of atomic structure and physical properties as the holistic view on the materials science fundamentals
arXiv (Cornell University)·2021Open Access
OPTIMADE, an API for exchanging materials data
Repository KITopen (Karlsruhe Institute of Technology)·2021· 91 citedOpen Access
Active learning for the power factor prediction in diamond-like thermoelectric materials
npj Computational Materials·2020· 85 citedOpen Access
The PAULING FILE Project and Materials Platform for Data Science: From Big Data Toward Materials Genome
2020· 13 cited
Pauling File: Toward a Holistic View
2019· 15 cited
A High‐Throughput Computational Study Driven by the<scp>AiiDA</scp>Materials Informatics Framework and the<i>PAULING FILE</i>as Reference Database
2019· 1 cited
Quantitative trends in 8 properties of inorganic compounds via machine learning
Figshare·2019Open Access
The PAULING FILE Project and Materials Platform for Data Science: From Big Data Toward Materials Genome
2019· 11 cited
Quantitative trends in 8 physical properties of 115000 inorganic compounds gained by machine learning
arXiv (Cornell University)·2018Open Access
PAULING FILE - towards a holistic view
Chemistry of Metals and Alloys·2018· 11 cited
The PAULING FILE Project and Materials Platform for Data Science: From Big Data Toward Materials Genome
2018· 12 cited
Teil 1
2017
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Frequent Co-authors

J. Daams(14), Shuichi Iwata(10), K. Cenzual(8), R. Gladyshevskii(7), F. Hulliger(5), Klaus Brandenburg(4), M. Berndt(3), Evgeny Blokhin(3), W. B. Pearson(3), O. Shcherban(3), V. Dubenskyy(3), I. Savysyuk(3), J.H.N. van Vucht(2), Yibin Xu(2), Masayoshi Yamazaki(2), H. Okamoto(2), K. Osaki(2), H. Putz(2), Steven R. LeClair(2), A. G. Jackson(2)