From philosophical thought experiments to record-breaking computational models, discover how simulation became the third pillar of modern science.
In 1990, as researchers worldwide were just beginning to grasp the potential of silicon and code, a group of visionary scientists gathered in Lahti, Finland, for the Third Nordic Symposium on Computer Simulation in Physics, Chemistry, Biology, and Mathematics7 . This was not merely another academic conference; it was a harbinger of a scientific revolution.
The symposium recognized what was then a radical idea: that the same computational principles could unite researchers across disparate fields, from the intricate dance of subatomic particles to the complex equations describing biological growth7 . The discussions in Lahti, focused on the emerging competition between large and small computing resources and the future of 'personal supercomputing,' laid the groundwork for the computational science ecosystem we know today7 .
The 1990 symposium anticipated the convergence of computational methods across scientific disciplines, creating a unified approach to complex problems.
Simulation has emerged as an equal partner to theoretical analysis and experimental verification in the scientific method.
Plato's allegory of the cave presented humans as prisoners mistaking shadows for reality4 .
Descartes' evil demon and modern brain-in-a-vat experiments continued this tradition4 .
Nick Bostrom's 2003 argument formalized the simulation hypothesis with statistical reasoning4 .
"If a civilization ever reaches the 'posthuman' stage capable of creating conscious simulations, it could generate billions of simulated worlds. If this happens, the number of simulated minds would vastly outnumber the biological ones. Therefore, if you're a conscious being, the statistical probability is that you exist in a simulation."4
While Bostrom's argument is philosophical, some scientists are seeking tangible, physical evidence. Melvin Vopson of the University of Portsmouth has proposed a "Second Law of Infodynamics" (Information Dynamics)9 .
This law challenges the traditional second law of thermodynamics, which states that entropy (disorder) always increases. Vopson claims that in digital information systems, information entropy remains constant or even decreases, acting as a balancing force9 .
In a landmark 2025 experiment that echoes the Nordic Symposium's ambitions, a team from the University of Essex collaborated with NVIDIA to run the largest simulation ever performed in statistical physics2 .
Their work achieved a long-sought milestone: the first practical observation of the "thermodynamic limit," which describes how the properties of matter emerge when systems become extremely large2 .
Interacting particles simulated
Researchers chose the Ising and Blume-Capel models because they provide a simplified but mathematically rich representation of magnetic systems2 .
The simulation was run on NVIDIA's latest GB200 NVL72 rack-scale architecture2 . This system is a behemoth where all GPUs access each other's memory as a single unit2 .
The team developed code that leveraged unified memory to simulate a staggering 70 trillion interacting particles, achieving a record-breaking speed of almost 115,000 lattice updates per nanosecond2 .
| Parameter | Achievement | Contextual Significance |
|---|---|---|
| Interacting Particles | 70 trillion | Far exceeds the number of particles in a visible speck of matter |
| Simulation Speed | ~115,000 lattice updates/ns | Sets a new benchmark for computational speed |
| Key Observation | Thermodynamic Limit | Reveals how material properties emerge in extremely large systems |
The Essex-NVIDIA experiment showcases the specialized tools required for cutting-edge simulation science. These components form the modern simulator's toolkit, applicable across fields from drug discovery to cosmology.
Simplifies complex real-world systems into solvable mathematical representations. Used to understand phase transitions, like water turning to ice2 .
A hypothetical simulation so detailed its inhabitants would experience consciousness indistinguishable from our reality. The central premise of Nick Bostrom's Simulation Argument4 .
Models the operation of a system as a sequence of events in time. Optimizing patient flow in a hospital laboratory to reduce wait times6 .
A mathematical framework that views probabilities and constraints through the lens of shapes and curves. Being developed at Brown University to fix simulation errors5 .
The Third Nordic Symposium's focus on interdisciplinary computational science was remarkably prescient7 . Today, the fields it highlighted are flourishing.
Simulations model the spread of infectious diseases and optimize laboratory workflows, directly improving healthcare delivery6 .
New centers are tackling fundamental simulation challenges, such as ensuring virtual solids don't pass through each other5 .
Commercial applications showcased at Simulation World 2025
Engineering designs improved through simulation
Educational resources from University of Colorado Boulder8
The gathering in Lahti over three decades ago helped chart the course for a world where the line between the physical and the digital is increasingly blurred. The scientists there recognized that the computer was not just a calculator, but a universe-creation engine, allowing us to test our theories, explore impossible realities, and perhaps, one day, answer the profound question: Are we the simulators, or are we the simulated? The quest to find out continues, one line of code at a time.