Suzanne Atkins

• PhD Utrecht
• Geophysicist at TNO

We use convolutional neural networks to predict geotechnical parameters (synthetic CPTs) from 2D ultra high resolution seismic data for an offshore windfarm site. The site is characterized by laterally varying channel deposits in the upper 20m with a thick but non-uniform unit underneath. We investigate methods to improve predictions in the poorly...

This study investigates the public perception of the blame for incidents where existing autonomous vehicles (AVs) make poor decisions when faced with challenging road infrastructure. We particularly focus on whether the road owner may be considered to be at blame for the incident. We found that respondents overwhelmingly blamed the vehicle for the...

Lithospheric net rotation (LNR) is the movement of the lithosphere as a solid body with respect to the mantle. Separating the signal of LNR from plate tectonic motion is therefore an important factor in producing absolute plate motion models. Net rotation is difficult to constrain because of uncertainties in geological data and outstanding question...

This study investigates the public perception of the blame for incidents where existing autonomous vehicles (AVs) make poor decisions when faced with challenging road infrastructure. We particularly focus on whether the road owner may be considered to be at blame for the incident. We found that respondents overwhelmingly blamed the vehicle for the...

Ethical AI frameworks are designed to encourage the accountability, responsibility and transparency of AI applications. They provide principles for ethical design. To be truly transparent, it should be clear to the user of the AI application that the designers followed responsible AI principles. In order to test how easy it is for a user to assess...

Ethical AI frameworks are designed to encourage the accountability, responsibility and transparency of AI applications. They provide principles for ethical design. To be truly transparent, it should be clear to the user of the AI application that the designers followed responsible AI principles. In order to test how easy it is for a user to assess...

In the Earth’s upper mantle, seismic anisotropy mainly originates from the crystallographic preferred orientation (CPO) of olivine due to mantle deformation. Large-scale observation of anisotropy in surface wave tomography models provides unique constraints on present-day mantle flow. However, surface waves are not sensitive to the 21 coefficients...

The subduction of upper oceanic lithosphere acts as a primary driver of Earth’s deep carbon and water cycles, providing a key transportation mechanism between surface systems and the deep Earth. Carbon and water are stored and transported in altered oceanic lithosphere. In this study, we present mass estimates of the subducted carbon and serpentini...

The subduction of carbon acts as a primary driver of the Earth's deep carbon cycle, providing a key transportation mechanism between surface systems and the deeper Earth on million to billion-year timescales. Carbon is stored in altered mantle peridotites and volcanic suites of oceanic crust, as well as within sediments overlaying oceanic crust. In...

The composition of the mantle affects many geodynamical processes by altering factors such as the density, the location of phase changes, and melting temperature. The inferences we make about mantle composition also determine how we interpret the changes in velocity, reflections, attenuation and scattering seen by seismologists. However, the bulk c...

The results of mantle convection simulations are fully determined by the input parameters and boundary conditions used. These input parameters can be for initialisation, such as initial mantle temperature, or can be constant values, such as viscosity exponents. However, knowledge of Earth-like values for many input parameters are very poorly constr...

Understanding and modelling mantle convection requires knowledge of many mantle properties, such as viscosity, chemical structure and thermal proerties such as radiogenic heating rate. However, many of these parameters are only poorly constrained. We demonstrate a new method for inverting present day Earth observations for mantle properties. We use...