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Tomi Laurila

Tomi Laurila

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
8195
World Ranking
6094
National Ranking
40

Overview

Tomi Laurila is affiliated with Aalto University in Finland and has contributions primarily in the fields of engineering and materials science. Their work spans various subfields including electrical and electronic engineering, materials chemistry, electrochemistry, cellular and molecular neuroscience, and bioengineering.

Their research focuses on topics such as electrochemical sensors and biosensors, electrochemical analysis and applications, neuroscience and neural engineering, analytical chemistry and sensors, diamond and carbon-based materials research, conducting polymers and applications, and electrocatalysts for energy conversion.

Some notable recent papers include:

  • Machine learning driven simulated deposition of carbon films: From low-density to diamondlike amorphous carbon (2020, Physical review. B./Physical review. B)
  • Trends in Carbon, Oxygen, and Nitrogen Core in the X-ray Absorption Spectroscopy of Carbon Nanomaterials: A Guide for the Perplexed (2020, The Journal of Physical Chemistry C)
  • Accurate Computational Prediction of Core-Electron Binding Energies in Carbon-Based Materials: A Machine-Learning Model Combining Density-Functional Theory and GW (2022, Chemistry of Materials)
  • Single-Walled Carbon Nanotube Network Electrodes for the Detection of Fentanyl Citrate (2020, ACS Applied Nano Materials)
  • Nanostructured Geometries Strongly Affect Fouling of Carbon Electrodes (2021, ACS Omega)

Laurila frequently collaborates with several researchers, including:

  • Niklas Wester
  • Sami Sainio
  • Ayesha Kousar
  • Ishan Pande
  • Samuel Rantataro

Their publications appear often in venues such as:

  • SSRN Electronic Journal
  • Diamond and Related Materials
  • Analytical Chemistry
  • The Journal of Physical Chemistry C
  • Electrochimica Acta

Best Publications

  • Interfacial reactions between lead-free solders and common base materials

    Tomi Laurila;Vesa Vuorinen;Jorma Kivilahti

  • Thermodynamics, Diffusion and the Kirkendall Effect in Solids

    Aloke Paul;Tomi Laurila;Vesa Vuorinen;Sergiy V. Divinski

  • Piezoelectric coefficients and spontaneous polarization of ScAlN

    Miguel A Caro;Siyuan Zhang;Tommi Riekkinen;Markku Ylilammi

  • Impurity and alloying effects on interfacial reaction layers in Pb-free soldering

    T. Laurila;V. Vuorinen;M. Paulasto-Kröckel

  • Cycle aging of commercial NMC/graphite pouch cells at different temperatures

    K. Jalkanen;J. Karppinen;L. Skogström;T. Laurila

  • Reactive sputter deposition and properties of Ta x N thin films

    T. Riekkinen;J. Molarius;T. Laurila;A. Nurmela

  • Growth Mechanism and Origin of High sp^{3} Content in Tetrahedral Amorphous Carbon.

    Miguel A. Caro;Volker L. Deringer;Jari Koskinen;Tomi Laurila

  • Hybrid carbon based nanomaterials for electrochemical detection of biomolecules

    Tomi Laurila;Sami Sainio;Miguel A. Caro

  • Effect of Ag, Fe, Au and Ni on the growth kinetics of Sn-Cu intermetallic compound layers

    Tomi Laurila;Johannes Hurtig;Vesa Vuorinen;Jorma Kivilahti

  • Electrochemical Fouling of Dopamine and Recovery of Carbon Electrodes

    Emilia Peltola;Emilia Peltola;Sami Sainio;Katherine B. Holt;Tommi Palomäki

  • Failure mechanism of Ta diffusion barrier between Cu and Si

    Tomi Laurila;Kejun Zeng;Jorma K. Kivilahti;Jyrki Molarius

  • Formation of Intermetallic Compounds Between Liquid Sn and Various CuNi x Metallizations

    Vesa Vuorinen;Hao Yu;Tomi Laurila;Jorma Kivilahti

  • Reactivity of Amorphous Carbon Surfaces: Rationalizing the Role of Structural Motifs in Functionalization Using Machine Learning

    Miguel A. Caro;Anja Aarva;Volker L. Deringer;Gábor Csányi

  • Evolution of microstructure and failure mechanism of lead-free solder interconnections in power cycling and thermal shock tests

    Tomi Laurila;Toni Mattila;Vesa Vuorinen;Juha Karppinen

  • Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part I: Fingerprint Spectra

    Anja Aarva;Volker L. Deringer;Sami Sainio;Tomi Laurila

  • Solid-State Reactions between Cu(Ni) Alloys and Sn

    Vesa Vuorinen;Tomi Laurila;Toni Mattila;Erkki Heikinheimo

  • Computational Surface Chemistry of Tetrahedral Amorphous Carbon by Combining Machine Learning and Density Functional Theory

    Volker L. Deringer;Miguel A. Caro;Richard Jana;Anja Aarva

  • Heat generation in high power prismatic Li-ion battery cell with LiMnNiCoO2 cathode material

    Yasir Abdul-Quadir;Tomi Laurila;Juha Karppinen;Kirsi Jalkanen

  • Chemical stability of Ta diffusion barrier between Cu and Si

    T. Laurila;K. Zeng;Jorma Kivilahti;Jyrki Molarius

  • Tantalum carbide and nitride diffusion barriers for Cu metallisation

    T. Laurila;K. Zeng;J. K. Kivilahti;J. Molarius

  • Materials Research Society Symposium - Proceedings

    Tomi Laurila;K. Zeng;A. Seppälä;J. Molarius

Frequent Co-Authors

Sergiy V. Divinski
Sergiy V. Divinski University of Münster
Hua Jiang
Hua Jiang Aalto University
Dennis Nordlund
Dennis Nordlund SLAC National Accelerator Laboratory
Leena-Sisko Johansson
Leena-Sisko Johansson Aalto University
Esko I. Kauppinen
Esko I. Kauppinen Aalto University
Eija Kalso
Eija Kalso University of Helsinki
Juan M. Feliu
Juan M. Feliu University of Alicante
Meyya Meyyappan
Meyya Meyyappan Ames Research Center
Victor Climent
Victor Climent University of Alicante
Gábor Csányi
Gábor Csányi University of Cambridge

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