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Lam’s Semiverse Solutions team used digital twin modeling to explore a self-aligned CFET architecture that could help extend CMOS scaling beyond 10 Å.

Lam Semiverse® Solutions engineers used SEMulator3D® stress modeling to show how channel thickness, fin width, and lateral etch can be optimized to reduce stress non-uniformity and improve gate-all-around nanosheet transistor performance.

Learn how feedforward control helps semiconductor manufacturers reduce wafer scrap and improve yield. Semiverse Solutions simulation demonstrated a pass-rate increase from 60.82% to 96.77% through intelligent process correction.

SEMulator3D virtual fabrication optimizes backside power networks by modeling nTSV-to-BPR connectivity.

As AI accelerates demand for advanced chips, sustainability is becoming essential for long-term growth

Pattern-dependent etch can lead to variations across the same chip. Dummy fill and SEMulator3D® help reduce shallow trench isolation and recess nonuniformity.

In DRAM SAQP, small process variations can compound into pitch walk and, with LER, create line-bridge defects. Monte Carlo virtual fabrication reveals these interactions to tighten process windows and reduce wafer experimentation.

Lam solutions for large 300-mm wafers aid in MEMS evolution. MEMS sensors are crucial in AI-powered devices and IoT. applications.

SEMulator3D® Analytics is useful in calibrating FinFET device profiles, helping engineers achieve high precision in modeling fin etch depth and critical dimensions.

Self-aligned backside contact (SABC) architectures in advanced GAA transistors expand the process window, reducing defects and improving chip yield.