Atomic simulation is not just modeling. It is becoming realization evidence.
By Dr. Moh Kolbehdari
As semiconductor scaling moves toward 2 nm, 1 nm, and beyond, the question is no longer only:
How small can we draw the transistor?
The deeper question is:
Can the device still behave as a controllable physical switch when atomic-scale effects dominate?
At these dimensions, geometry alone is not enough.
Quantum tunneling, contact resistance, short-channel effects, interface roughness, phonon scattering, metal-semiconductor contact behavior, and atomic-scale variation begin to define the real limit.
This is why atomistic and first-principles simulation are becoming more important.
They are not only academic modeling tools.
They are becoming part of the realization path.
Before fabrication, these methods can help predict whether a proposed device structure has a physical path to current control, manufacturability, and useful performance.
That matters because advanced nodes are often described by marketing labels, but the physical transistor does not obey node names.
It obeys physics.
A “2 nm” or “1 nm-class” roadmap becomes meaningful only if the device can manage leakage, contact resistance, variability, thermal effects, and quantum behavior under real conditions.
This is where I see a broader shift:
Computational simulation is becoming computational realization.
The role of simulation is no longer only to explore possibilities.
It must help determine whether a design intent can become physical reality.
But simulation alone is not authority.
For atomistic simulation to become realization evidence, it must be traceable, uncertainty-aware, physically grounded, correlated where possible, and connected to design and manufacturing decisions.
That is the important transition:
modeling → physical-limit prediction → validated evidence → realization decision
If transistor scaling becomes increasingly limited by physics, the industry will need stronger bridges between atomistic prediction, device design, process development, packaging, power, thermal behavior, and system-level scaling.
The next era of semiconductor progress will not come from geometry alone.
It will come from understanding where physics allows scaling, where it blocks scaling, and where new realization paths are needed.
Final question:
Are we still treating device scaling as a geometry problem, or are we ready to treat it as a computational realization problem?
#Semiconductors #DeviceScaling #ComputationalMaterials #AtomisticSimulation #AdvancedNodes #QuantumEffects #EDA #SemiconductorManufacturing #ComputationalRealization #TrustedRealization #STRL
By Dr. Moh Kolbehdari
As semiconductor scaling moves toward 2 nm, 1 nm, and beyond, the question is no longer only:
How small can we draw the transistor?
The deeper question is:
Can the device still behave as a controllable physical switch when atomic-scale effects dominate?
At these dimensions, geometry alone is not enough.
Quantum tunneling, contact resistance, short-channel effects, interface roughness, phonon scattering, metal-semiconductor contact behavior, and atomic-scale variation begin to define the real limit.
This is why atomistic and first-principles simulation are becoming more important.
They are not only academic modeling tools.
They are becoming part of the realization path.
Before fabrication, these methods can help predict whether a proposed device structure has a physical path to current control, manufacturability, and useful performance.
That matters because advanced nodes are often described by marketing labels, but the physical transistor does not obey node names.
It obeys physics.
A “2 nm” or “1 nm-class” roadmap becomes meaningful only if the device can manage leakage, contact resistance, variability, thermal effects, and quantum behavior under real conditions.
This is where I see a broader shift:
Computational simulation is becoming computational realization.
The role of simulation is no longer only to explore possibilities.
It must help determine whether a design intent can become physical reality.
But simulation alone is not authority.
For atomistic simulation to become realization evidence, it must be traceable, uncertainty-aware, physically grounded, correlated where possible, and connected to design and manufacturing decisions.
That is the important transition:
modeling → physical-limit prediction → validated evidence → realization decision
If transistor scaling becomes increasingly limited by physics, the industry will need stronger bridges between atomistic prediction, device design, process development, packaging, power, thermal behavior, and system-level scaling.
The next era of semiconductor progress will not come from geometry alone.
It will come from understanding where physics allows scaling, where it blocks scaling, and where new realization paths are needed.
Final question:
Are we still treating device scaling as a geometry problem, or are we ready to treat it as a computational realization problem?
#Semiconductors #DeviceScaling #ComputationalMaterials #AtomisticSimulation #AdvancedNodes #QuantumEffects #EDA #SemiconductorManufacturing #ComputationalRealization #TrustedRealization #STRL
