diff --git a/fdm/visualizer.py b/fdm/visualizer.py
index 6f245fa..752975b 100644
--- a/fdm/visualizer.py
+++ b/fdm/visualizer.py
@@ -27,52 +27,122 @@ def visualize_fdm(T_matrix, x_vals, t_vals):
     os.makedirs(out_dir, exist_ok=True)
 
     # ------------------------------------------------------------------
-    # 1. Heatmap
+    # 1. heatmap.html: plot statico T(x,t) + striscia 1D animata
+    #    Due figure Plotly indipendenti nello stesso file HTML per
+    #    evitare conflitti tra animazioni e assi multipli.
     # ------------------------------------------------------------------
-    zmax = float(np.max(np.abs(T_matrix - config.T0)))
-    # Use symmetric range centred on T0 if there is any variation,
-    # otherwise fall back to the raw range.
-    z_data = T_matrix.T  # shape (NT, NX) — rows=time, cols=space
+    zmin_val = float(np.min(T_matrix))
+    zmax_val = float(np.max(T_matrix))
 
-    if zmax > 0:
-        z_center = float(np.mean(T_matrix))
-        z_abs = float(np.max(np.abs(T_matrix - z_center)))
-        zmin_sym = z_center - z_abs
-        zmax_sym = z_center + z_abs
-    else:
-        zmin_sym = float(np.min(T_matrix))
-        zmax_sym = float(np.max(T_matrix))
+    # Subsample frames (shared with animation below)
+    n_frames = len(t_vals)
+    max_frames = 200
+    step = max(1, n_frames // max_frames)
+    frame_indices = list(range(0, n_frames, step))
 
-    fig_heatmap = go.Figure(go.Heatmap(
+    # --- Figura A: heatmap 2D statica (identica all'originale) ---
+    z_data = T_matrix.T  # (NT, NX)
+    z_center = float(np.mean(T_matrix))
+    z_abs = float(np.max(np.abs(T_matrix - z_center))) or 1.0
+    fig_static = go.Figure(go.Heatmap(
         z=z_data,
         x=x_vals,
         y=t_vals,
         colorscale='RdBu_r',
-        zmin=zmin_sym,
-        zmax=zmax_sym,
+        zmin=z_center - z_abs,
+        zmax=z_center + z_abs,
         colorbar=dict(title='T [°C]'),
     ))
-    fig_heatmap.update_layout(
+    fig_static.update_layout(
         title='FDM — Heat Equation  T(x,t)',
         xaxis_title='x [m]',
         yaxis_title='t [s]',
-        height=500,
+        height=480,
+        margin=dict(t=50, b=50, l=70, r=90),
     )
 
+    # --- Figura B: striscia 1D animata ---
+    strip_frames = [
+        go.Frame(
+            data=[go.Heatmap(
+                z=T_matrix[:, idx].reshape(1, -1),
+                x=x_vals,
+                y=[0],
+                colorscale='Jet',
+                zmin=zmin_val,
+                zmax=zmax_val,
+                showscale=True,
+                colorbar=dict(title='T [°C]', thickness=18),
+            )],
+            name=str(idx),
+            layout=go.Layout(title_text=f't = {t_vals[idx]:.3f} s'),
+        )
+        for idx in frame_indices
+    ]
+
+    fig_strip = go.Figure(
+        data=[go.Heatmap(
+            z=T_matrix[:, frame_indices[0]].reshape(1, -1),
+            x=x_vals,
+            y=[0],
+            colorscale='Jet',
+            zmin=zmin_val,
+            zmax=zmax_val,
+            showscale=True,
+            colorbar=dict(title='T [°C]', thickness=18),
+        )],
+        frames=strip_frames,
+        layout=go.Layout(
+            title=f't = {t_vals[frame_indices[0]]:.3f} s',
+            xaxis=dict(title='x [m]'),
+            yaxis=dict(showticklabels=False, showgrid=False,
+                       zeroline=False, fixedrange=True),
+            height=300,
+            margin=dict(t=80, b=130, l=70, r=110),
+            updatemenus=[dict(
+                type='buttons',
+                showactive=False,
+                y=1.22, x=0.5, xanchor='center',
+                buttons=[
+                    dict(label='▶ Play', method='animate',
+                         args=[None, dict(frame=dict(duration=40, redraw=True),
+                                          fromcurrent=True, mode='immediate')]),
+                    dict(label='⏸ Pause', method='animate',
+                         args=[[None], dict(frame=dict(duration=0, redraw=False),
+                                            mode='immediate')]),
+                ],
+            )],
+            sliders=[dict(
+                steps=[
+                    dict(method='animate',
+                         args=[[str(idx)], dict(mode='immediate',
+                                                frame=dict(duration=0, redraw=True))],
+                         label=f'{t_vals[idx]:.2f}')
+                    for idx in frame_indices
+                ],
+                transition=dict(duration=0),
+                x=0.05, y=0, len=0.9,
+                currentvalue=dict(prefix='t = ', font=dict(size=14)),
+            )],
+        ),
+    )
+
+    # Scrivi entrambe le figure in un unico file HTML
+    html_static = fig_static.to_html(full_html=False, include_plotlyjs='cdn')
+    html_strip = fig_strip.to_html(full_html=False, include_plotlyjs=False)
     heatmap_path = os.path.join(out_dir, 'heatmap.html')
-    fig_heatmap.write_html(heatmap_path)
+    with open(heatmap_path, 'w', encoding='utf-8') as _f:
+        _f.write('<!DOCTYPE html><html><head><meta charset="utf-8"></head><body>\n')
+        _f.write(html_static)
+        _f.write('\n')
+        _f.write(html_strip)
+        _f.write('\n</body></html>')
     print(f"Heatmap saved        → {heatmap_path}")
 
     # ------------------------------------------------------------------
     # 2. Animated profile T(x) evolving in time
     # ------------------------------------------------------------------
     L = config.L
-    n_frames = len(t_vals)
-
-    # Subsample frames for a manageable animation (max ~200 frames)
-    max_frames = 200
-    step = max(1, n_frames // max_frames)
-    frame_indices = list(range(0, n_frames, step))
 
     y_min = float(np.min(T_matrix)) - 1.0
     y_max = float(np.max(T_matrix)) + 1.0