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Vanessa Wood   Professor  Other 
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Vanessa Wood published an article in January 2019.
Top co-authors See all
Marco Stampanoni

141 shared publications

Swiss Light Source

Claire Villevieille

73 shared publications

Paul Scherrer Institut

Hyung Gyu Park

70 shared publications

Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 37673, Republic of Korea

Federica Marone

42 shared publications

Paul Scherrer Institut, 5232 Villigen PSI, Switzerland

Deniz Bozyigit

33 shared publications

Department of Information Technology and Electrical Engineering, ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland

Publication Record
Distribution of Articles published per year 
(2001 - 2019)
Total number of journals
published in
Publications See all
Article 1 Read 0 Citations Surface phonons of lithium ion battery active materials Peter Benedek, Nuri Yazdani, Hungru Chen, Nils Wenzler, Fann... Published: 01 January 2019
Sustainable Energy & Fuels, doi: 10.1039/c8se00389k
DOI See at publisher website ABS Show/hide abstract
Surfaces of active materials are understood to play an important role in the performance and lifetime of lithium-ion batteries, but they remain poorly characterized and therefore cannot yet be systematically designed.
Article 0 Reads 0 Citations Characterization of contact resistances in ceramic-coated vertically aligned carbon nanotube arrays Meng Li, Ning Yang, Vanessa Wood, Hyung Gyu Park Published: 01 January 2019
RSC Advances, doi: 10.1039/c8ra10519g
DOI See at publisher website ABS Show/hide abstract
End- and side-contact resistances between carbon nanotubes and contacts are easily probed in vertically aligned arrays.
Article 0 Reads 1 Citation Characterization and performance evaluation of lithium-ion battery separators Marie Francine Lagadec, Raphael Zahn, Vanessa Wood Published: 31 December 2018
Nature Energy, doi: 10.1038/s41560-018-0295-9
DOI See at publisher website
Article 0 Reads 0 Citations In Situ Measurement and Control of the Fermi Level in Colloidal Nanocrystal Thin Films during Their Fabrication Sebastian Volk, Nuri Yazdani, Olesya Yarema, Maksym Yarema, ... Published: 10 December 2018
The Journal of Physical Chemistry Letters, doi: 10.1021/acs.jpclett.8b03283
DOI See at publisher website
Article 1 Read 2 Citations Machine Learning for Analysis of Time-Resolved Luminescence Data Nikola Dordević, Joseph Samuel Beckwith, Maksym Yarema, Oles... Published: 12 November 2018
ACS Photonics, doi: 10.1021/acsphotonics.8b01047
DOI See at publisher website
Article 0 Reads 0 Citations Colloidal Phase-Change Materials: Synthesis of Monodisperse GeTe Nanoparticles and Quantification of Their Size-Dependen... Olesya Yarema, Aleksandr Perevedentsev, Vladimir Ovuka, Paul... Published: 20 August 2018
Chemistry of Materials, doi: 10.1021/acs.chemmater.8b02702
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Phase-change memory materials refer to a class of materials which can exist in amorphous and crystalline phases with distinctly different electrical or optical properties, as well as exhibit outstanding crystallization kinetics and optimal phase transition temperatures. This paper focuses on the potential of colloids as phase-change memory materials. We report a novel synthesis for amorphous GeTe nanoparticles based on an amide-promoted approach that enables accurate size control of GeTe nanoparticles between 4 and 9 nm, narrow size distributions down to 9-10%, and synthesis upscaling to reach multigram chemical yields per batch. We then quantify the crystallization phase transition for GeTe nanoparticles, employing high-temperature X-ray diffraction, differential scanning calorimetry, and transmission electron microscopy. We show that GeTe nanoparticles crystallize at higher temperatures than the bulk GeTe material and that crystallization temperature increases with decreasing size. We can explain this size-dependence using the entropy of crystallization model and classical nucleation theory. The size-dependences quantified here highlight possible benefits of nanoparticles for phase-change memory applications.