Ejemplo n.º 1
0
    def test_pair_grid_force_incommensurate(self, spatial_dimension, dtype):
        key = random.PRNGKey(1)

        box_size = f32(12.1)
        cell_size = f32(3.0)
        displacement, _ = space.periodic(box_size)
        energy_fn = energy.soft_sphere_pair(displacement, quantity.Dynamic)
        force_fn = quantity.force(energy_fn)

        R = box_size * random.uniform(key, (PARTICLE_COUNT, spatial_dimension),
                                      dtype=dtype)
        grid_force_fn = jit(smap.grid(force_fn, box_size, cell_size, R))
        species = np.zeros((PARTICLE_COUNT, ), dtype=np.int64)
        self.assertAllClose(np.array(force_fn(R, species, 1), dtype=dtype),
                            grid_force_fn(R), True)
Ejemplo n.º 2
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    def test_pair_grid_force_nonuniform(self, spatial_dimension, dtype):
        key = random.PRNGKey(1)

        if spatial_dimension == 2:
            box_size = f32(np.array([[8.0, 10.0]]))
        else:
            box_size = f32(np.array([[8.0, 10.0, 12.0]]))

        cell_size = f32(2.0)
        displacement, _ = space.periodic(box_size[0])
        energy_fn = energy.soft_sphere_pair(displacement, quantity.Dynamic)
        force_fn = quantity.force(energy_fn)

        R = box_size * random.uniform(key, (PARTICLE_COUNT, spatial_dimension),
                                      dtype=dtype)
        grid_force_fn = smap.grid(force_fn, box_size, cell_size, R)
        species = np.zeros((PARTICLE_COUNT, ), dtype=np.int64)
        self.assertAllClose(np.array(force_fn(R, species, 1), dtype=dtype),
                            grid_force_fn(R), True)
Ejemplo n.º 3
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    def test_pair_grid_energy(self, spatial_dimension, dtype):
        key = random.PRNGKey(1)

        box_size = f16(9.0)
        cell_size = f16(2.0)
        displacement, _ = space.periodic(box_size)
        metric = space.metric(displacement)
        energy_fn = smap.pair(energy.soft_sphere,
                              metric,
                              quantity.Dynamic,
                              reduce_axis=(1, ),
                              keepdims=True)

        R = box_size * random.uniform(key, (PARTICLE_COUNT, spatial_dimension),
                                      dtype=dtype)
        grid_energy_fn = smap.grid(energy_fn, box_size, cell_size, R)
        species = np.zeros((PARTICLE_COUNT, ), dtype=np.int64)
        self.assertAllClose(np.array(energy_fn(R, species, 1), dtype=dtype),
                            grid_energy_fn(R), True)