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Sim4Life V9.6 is the latest version of our simulation platform for computational life science research, device design, and optimization, as well as safety and electromagnetic compliance evaluations. Sim4Life V9.6 removes a long-standing computational bottleneck in neurostimulation modeling and delivers platform refinements that make the resulting workflows faster and more intuitive. Key highlights include: Faster Neural Response Prediction: Generalized Activating Function (GAF) now supports clinically realistic MRG double-cable axon models, delivering near-NEURON accuracy while reducing computation times from hours/days to seconds/minutes. Automated Recruitment Curve Analysis: New integrated tools generate and compare recruitment curves across heterogeneous nerve populations, accelerating neurostimulation device evaluation and treatment planning. Enhanced Performance & Scalability: Faster project startup, improved handling of large anatomical/neural models, and support for NVIDIA Blackwell cloud GPUs for demanding optimization workloads. Improved User Experience & Automation: Modernized Python scripting environment and improved feedback during project loading and initialization. Sim4Life V9.6 Web is available on all our cloud platforms for commercial users, researchers, and students. Sim4Life V9.6 Desktop is available directly through the Automatic Software Update window in the Sim4Life GUI. Your current license file provided by ZMT remains valid for this version. A detailed list of all changes can be found in the Release History. We thank you for your valuable feedback and hope this release further enhances your productivity and workflows. For additional feedback or suggestions, please feel free to contact us at s4l-sales@zmt.swiss. The Sim4Life Team

When the stop button is pushed in the task manager, while a simulation is running, it will generate an event that is equivalent to "enforcing" a "convergence reached" state from the solver perspective. That's why the following log will appear inside the Solver-Log tab WARNING: Simulation end request received. The solvers starts to consider this. Steady state detected at iteration x, remaining time steps are y. Simulation performed z iterations. Elapsed time for 'Time Update' was xx:xx:xx wall clock time.

Hello, I am setting up an LF Electro Ohmic Quasi-Static simulation using the DUKE_POSABLE 3.2 model. I have placed two solid spherical electrodes in contact with the body and applied Dirichlet boundary conditions. After voxelisation, the electrodes appear hollow or lattice-like, as shown in the attached screenshots, even though the original geometries are solid. I used a local 1 mm grid for the electrodes, while the anatomical model has a maximum grid step of 2 mm. Could you please explain what may be causing this appearance? Is it only a visualisation effect, or does it mean that the electrode interiors have not been filled with voxels? If the electrodes are actually voxelised as hollow structures, could this affect the electrical contact with the tissue, including the calculated current distribution or contact impedance? Also, is there a way to check whether the electrode material has been correctly assigned throughout the entire electrode volume? Thank you. Here is the screenshort of the voxel: [image: 1789648394768-screenshot-2026-09-17-104009.png] Screenshort on simulation settings: [image: 1789648532529-screenshot-2026-09-17-104234.png]