# creates: unit_cell.png, sqs_cell.png # This script creates pictures of sample structures, the cut sqs cell will keep # the same crystallographic orientation in the image as the unit cell from ase.io.pov import get_bondpairs from ase.data.colors import jmol_colors as chemical_colors from ase.data import covalent_radii from ase.io.pov import write_pov from ase import build unit_cell = build.bulk('AlN', 'wurtzite', a=3.129, c=5.017) sqs_cell = build.cut(unit_cell, a=[1, 0, 1], b=[-2, -2, 0], c=[1, -1, -1]) names = ['unit_cell', 'sqs_cell'] list_of_atoms_obj = [unit_cell, sqs_cell] # The rest are rendering settings # see the gallery to see examples of the built-in styles style = 'simple' # reverts to jmol_colors if not unspecified color_dict_rgb255 = { 'N': [23, 111, 208], 'Ga': [230, 83, 17] } # used to automatically guess bonds covalent_radius_bond_cutoff_scale = 0.9 # for the rendering atom radii radius_dict = { 'O': 0.8, 'Al': 0.6, } # for unspecified elements radius_scale = 0.6 # use ASE GUI to find your perfect orientation # rotation = '45x, -35.264y, 30z' # down <111> for a cubic structure # rotation = '0x, 0y, 0z' # down z-axis rotation = '37x, -79y, -128z' # povray specific kwrds kwargs = { 'transparent': True, # Transparent background 'canvas_width': None, # Width of canvas in pixels 'canvas_height': 720, # Height of canvas in pixels # 'image_height' : 22, # 'image_width' : 102, # I think these are in atomic units # 'camera_dist' : 170.0, # Distance from camera to front atom, # 'camera_type': 'orthographic angle 35', # 'perspective angle 20' # 'area_light' : [(-1.0, -1.0, 200.), 'White', 22.0, 102.0, 20, 2], 'depth_cueing': False, } # some more options: # 'image_plane' : None, # Distance from front atom to image plane # # (focal depth for perspective) # 'camera_type' : 'perspective', # perspective, ultra_wide_angle # 'point_lights' : [], # [[loc1, color1], [loc2, color2],...] # 'area_light' : [(2., 3., 40.) ,# location # 'White', # color # .7, .7, 3, 3], # width, height, Nlamps_x, Nlamps_y # 'background' : 'White', # color # 'celllinewidth': 0.05, # Radius of the cylinders representing the cell # generic projection settings (passed to plotting variables) generic_projection_settings = { 'rotation': rotation, 'show_unit_cell': 2, # 'extra_offset':(2.0, 0.0) } # some nice helper functions def make_radius_list(atoms, radius_dict, radius_scale=0.9): per_atom_list = [] for z, symbol in zip(atoms.get_atomic_numbers(), atoms.symbols): if symbol in radius_dict.keys(): per_atom_list.append(radius_dict[symbol]) else: per_atom_list.append(radius_scale * covalent_radii[z]) return per_atom_list def make_color_list(atoms, color_dict): per_atom_list = [] for z, symbol in zip(atoms.get_atomic_numbers(), atoms.symbols): if symbol in color_dict.keys(): per_atom_list.append(color_dict[symbol]) else: per_atom_list.append(chemical_colors[z]) return per_atom_list # converting RGB255 to RGB1 for povray. color_dict = {} for symbol in color_dict_rgb255: color_dict[symbol] = [val / 255. for val in color_dict_rgb255[symbol]] # loop over atoms objects to render them for atoms, name in zip(list_of_atoms_obj, names): radius_list = make_radius_list( atoms, radius_dict, radius_scale=radius_scale) bondpairs = get_bondpairs(atoms, radius=covalent_radius_bond_cutoff_scale) color_list = make_color_list(atoms, color_dict) # These have to be set per-atom kwargs['textures'] = len(atoms) * [style] kwargs['colors'] = color_list kwargs['bondatoms'] = bondpairs # PlottingVariables needs the radii to set the image plane size generic_projection_settings['radii'] = radius_list pov_name = name + '.pov' povobj = write_pov(pov_name, atoms, **generic_projection_settings, povray_settings=kwargs) povobj.render()