Abstract
Introduction
The physical properties of crystalline materials are necessary in many fields, from education to engineering. The properties most commonly considered in traditional studies (Young's modulus, dielectric constant …) correspond to experiments in which both the stimulus and the sample's response are associated with a given subsystem in the material (elasticity, electricity …). We denote these interactions and properties as ‘principal’. Today's technology is decidedly dependent on ‘coupling properties’ (piezoelectricity, magnetostriction, magnetoelectricity …) in which a stimulus in one subsystem generates a response in another one. The most complete, though not intuitive, manner of presenting physical properties is by means of the tensor representation. The classical reference in this field is the Landolt–Börnstein collection [1]. The Materials Project [2,3], UC-Berkeley, represents a highly interesting effort in the direction of calculating theoretically and disclosing the physical properties of materials. Kaminsky's programmes and data concerning crystalline morphology and properties are also of interest [4]. In this universe, the contribution of the Material Properties Open Database (MPOD) is to openly offer a collection of properties values based on published experimental data. MPOD was initiated by Chateigner in 2010 and developed in collaboration with Pepponi and Grazulis [5]. In the recent years, with contributions from the Crystallography Group at CIMAV (Centro de Investigación en Materiales Avanzados), MPOD is being expanded. Some directions in which MPOD has grown comprise the inclusion of new electromagnetic properties and the delivery of graphic representations of properties [6]. This article describes the current MPOD tasks. Some focus is put on coupling properties, their representation by different means and the interesting effect of crystal symmetry on materials properties. The organisation of the paper is as follows. First, a brief description of the treatment given to crystal properties in MPOD is given. Second, a representative scan of MPOD cases is presented. Finally, a sampling of the tensor and group theoretical tools behind MPOD is divulged.
Data treatment in MPOD
The open database MPOD describes the physical properties of single crystals. The information provided is based on experimentally measured tensor magnitudes. In all cases, reference to the original source is included. Following standard treatments [7,8,9] physical properties are defined, in linear approximation, by means of constitutive equations (1).

Tensor 

The characterisation of material's symmetry is essential for properties investigation. MPOD is consistent with theoretically derived ‘selection rules’ for the structure of principal and coupling properties tensors [10,11]. In MPOD, the introduction of new data is performed through a programme that builds the properties matrices, depending on the rank of the considered tensor and according to symmetry. Besides the atomic distribution symmetry, magnetic symmetry may also be taken into account. The polar or axial nature of the property, as well as magnitudes’ behaviour under time inversion, is part of the symmetry analysis. This issue is discussed in Fuentes-Cobas et al. [12,13].
The MPOD data files are written in the International Union of Crystallography ‘CIF’ format. The contents of these files include a link to the original source, the applicable symmetry point group, the measurement technique and conditions and the properties matrices. The user can search files by chemical composition, by phase name or by property. The default output consists of the properties matrices. Commands are available for plotting the properties in the so-called
We illustrate the conversion from tensor to surface representation through the example of piezoelectricity. The longitudinal piezoelectric surface
. In tensor notation, we name this stress
. (In compact notation it would be
). In a general case, the piezoelectric polarisation that will appear on the crystal will not be parallel to
. It will show several Cartesian components. We focus on
, the projection of the polarisation along
. We write

describes the longitudinal piezoelectric effect. The surface of
is constructed by varying
through all directions in space and plotting for each orientation a point at a distance from the origin proportional to
. The calculation of
starting from the knowledge of the tensor
is done by means of Equation (5)

and analogous are the direction cosines of the direction
relative to Cartesian axes
(
MPOD contains the equations for plotting the longitudinal surfaces associated with tensor ranks from 2 to 4, polar and axial. Matrices are read in compact notation (two indices) and orientations in space
The representation of the tensor properties as longitudinal surfaces is useful for the visualisation and the spatial analysis of the properties. An important advantage of this type of representation is that it facilitates the comparative analysis between the structural and the property's symmetries. As a general regularity the following Neumann principle is valid: ‘The symmetry of the effect is at least equal to the symmetry of the cause’. In crystal physics the Neumann principle may be stated as follows:
MPOD case studies
Principal interactions in BaTiO3
BaTiO3 is registered in the Database as file ‘1000304.mpod’. The link to the original source leads to the classical report by Berlincourt and Jaffe [14]. The structure point group is 4 mm.
Dielectric constant
ε
r
Equation (6) gives the BaTiO3 longitudinal dielectric constant surface. Dielectric constant is a polar second rank tensor. The 

Elasticity
Equation (7) represents the BaTiO3 elastic compliance tensor (at constant electric field) BaTiO3 (a) elastic compliance and (b) Young modulus. Elasticity is described by polar fourth rank tensors. The 

Piezoelectricity in BaTiO3 and quartz
BaTiO3
Equation (8) represents the Piezoelectric charge constant 

Quartz (1000055.mpod)
Piezoelectric tensor Longitudinal piezoelectric surface 

Magnetoelectricity
The constitutive equation for magnetoelectricity is
LiCoPO4 (1000360.mpod)
The atomic distribution space group for LiCoPO4, at 4.2 K, is Longitudinal magnetoelectric coefficient α(

3D printing of properties surfaces
The MPOD graphic interface includes the command to generate 3D print files, in STL format. Figure 6 shows photos of representative 3D impressions.
MPOD 3D printing of longitudinal properties. (a) Quartz piezoelectricity; (b) LiCoPO4 magnetoelectricity. Positive and negative values are observable.
The maths behind MPOD
The diversity of geometries observed in the presented figures corresponds to the equally diverse collection of matrices representing physical properties. The physical law underlying this diversity is the aforementioned Neumann principle. The starting point for a property's symmetry analysis is to identify the mathematical nature of the ‘cause’ (
Let us analyse the relation
An irreducible representation (
Irreducible representations for
According to the Neumann principle, all properties must satisfy, at least, the symmetry of the structural point group. A property describes the action-response relationship. If a property is symmetrical about a certain rotation, the components of the response to a given action must be transformed in the same way as the components of the action are transformed. Formally, the components of the vectors and/or tensors of action and response must share the same
We illustrate the related methodology by analysing a case of interest.
Pyro- and Piezoelectricity in Aurivillius phases
Let us analyse pyro- and piezoelectricity in materials with
We start considering the so-called fully symmetric
Consider now the elements linked with A1 in the hypervector components column. The stress components
Following a similar reasoning it is found that 
The particular case of the Aurivillius compound Bi2WO6 has been measured by Takeda et al. [19]. His results are reproduced in Equation (12).

Figure 7 shows the piezoelectric surface of Bi2WO6.
Longitudinal piezoelectric coefficient 
Conclusions
Crystal thermo–electro–magneto–elastic couplings exhibit a wide spectrum of anisotropic responses, linked with structural and magnetic symmetry, polar and axial nature of magnitudes and tensor ranks.
MPOD (http://mpod.cimav.edu.mx) is an open database that delivers measured materials properties in matrix, surface and 3D printing descriptions.
Properties’ data in MPOD are computer processed, based on tensor analysis and group theory criteria.
