Fix adjoint gradient with conductivities (NanoComp#1830)

* damp_fix

* increase run time

Co-authored-by: Mo Chen <mochen@Mos-MacBook-Pro.local>

python/tests/test_adjoint_solver.py

@@ -343,6 +343,19 @@ def J(mode_mon):
     sim.reset_meep()
     return f, dJ_du
 
+    opt = mpa.OptimizationProblem(
+        simulation=sim,
+        objective_functions=J,
+        objective_arguments=obj_list,
+        design_regions=[matgrid_region],
+        frequencies=frequencies,
+        minimum_run_time=150)
+
+    f, dJ_du = opt([design_params])
+
+    sim.reset_meep()
+    return f, dJ_du
+
 def mapping(x,filter_radius,eta,beta):
     filtered_field = mpa.conic_filter(x,
                                       filter_radius,

src/meepgeom.cpp

@@ -2714,7 +2714,7 @@ std::complex<double> get_material_gradient(
 
     for (int i=0;i<3;i++) dA_du[i] = (row_1[i] - row_2[i])/(2*du);
     return dA_du[dir_idx] * fields_f  * cond_cmp(forward_c,r,freq,geps);
-  }
+  }  
 }
 
 /* A brute force approach to calculating Aᵤ using finite differences.
@@ -2933,10 +2933,19 @@ void material_grids_addgradient(double *v, size_t ng, std::complex<meep::realnum
         size_t idx_fields = IVEC_LOOP_COUNTER;
         meep::ivec ip = gv.iloc(adjoint_c,idx);
         meep::vec p   = gv.loc(adjoint_c,idx);
+<<<<<<< HEAD
         std::complex<double> adj = GET_FIELDS(fields_a, ci_adjoint, f_i, idx_fields);
         material_type md;
         geps->get_material_pt(md, p);
         if (!md->trivial) adj *= cond_cmp(adjoint_c,p,frequencies[f_i], geps);
+=======
+        std::complex<double> adj = GET_FIELDS(fields_a,ci_adjoint,f_i,idx_fields);
+
+        material_type md;
+        geps->get_material_pt(md, p);
+        if (!md->trivial) adj *= cond_cmp(adjoint_c,p,frequencies[f_i], geps);
+
+>>>>>>> Fix adjoint gradient with conductivities (#1830)
         double cyl_scale;
         int ci_forward = 0;
         FOR_MY_COMPONENTS(forward_c) {