Failure Analysis Assistant
Physical failure analysis is slow, destructive and precious — so you aim before you cut. Select the observed electrical symptoms and this ranks the likely failure mechanisms and recommends the physical-analysis technique for the most probable one.
Toggle what you see at electrical test — the ranking updates live.
Mechanism ranking
Metal atoms migrate under high current density over time, opening voids or growing hillocks — a wear-out mechanism.
Cross-section FIB/SEM at the failing net to image voids/hillocks; confirm with resistance-vs-time and Black's-equation lifetime.
A broken connection — a failed via, contact, or interconnect — gives an open, sometimes intermittent. If the primary hypothesis isn't confirmed, this is the next candidate — keep both in mind when planning the cut.
The observed signature most strongly matches electromigration. Start the physical analysis with the recommended technique and the right localization step before deprocessing — aiming the cut is what saves the sample.
For the population context, see the Wafer Map Analyzer and Root Cause Finder.
Why hypothesis comes before the knife
Opens, shorts, leakage and their time and temperature behavior each point to a different failure mechanism. Reading the signature narrows seven candidates to one or two before any sample is cut.
A sudden, localized failure (ESD, short) is investigated differently from a gradual, time-dependent one (electromigration, oxide breakdown). The failure's time behavior sets the whole FA path.
Physical failure analysis (FIB, SEM, TEM) is slow and destructive. Hypothesizing the likely mechanism from the electrical signature first means you cut in the right place with the right technique, not blindly.
Emission microscopy for hot leakage paths, acoustic microscopy for delamination, EDX for particle composition, cross-section for voids. Matching mechanism to technique is what makes FA efficient.
Aim before you cut
Failure analysis on a single failed device is a one-shot game. The sample is precious, the tools — focused ion beams, electron microscopes, emission cameras — are slow and expensive, and most of the techniques are destructive: cut in the wrong place and the evidence is gone. So the defining skill of a good FA engineer isn't operating the microscope; it's forming the right hypothesis from the electrical signature before any physical work begins.
That signature is surprisingly diagnostic. An open that develops over time and accelerates with temperature whispers electromigration. A sudden, localized, catastrophic short shouts ESD or overstress. Leakage that grows with field-stress time points at gate-oxide breakdown. An intermittent failure that comes and goes with temperature implicates the package, not the silicon. Each mechanism leaves a fingerprint in how the part fails and how that failure behaves, and reading it narrows seven candidates to one or two before a sample is mounted.
The first fork is always catastrophic versus wear-out. A sudden, complete failure is localized — you hunt the damage site with emission microscopy and image the burn. A gradual, time-dependent failure is a degradation — you characterize its time and temperature dependence and often need stress data, then cross-section to find the void or the broken oxide. The two demand different mindsets and different tools, and getting the fork right sets the whole investigation.
This assistant encodes those mappings: select what you observe, and it ranks the mechanisms and names the technique to start with — emission microscopy for a hot leakage path, acoustic microscopy for delamination, EDX for a particle, cross-section for a void. It's a starting hypothesis and a plan, not a verdict; the physical analysis confirms it. For the population-level context that often points the way, use the Wafer Map Analyzer and the Root Cause Finder.
Trusted by Failure Analysis & Reliability Teams
“Symptom-to-mechanism scoring with the recommended technique is exactly the triage I do before touching a sample. Wear-out + open + temp ranking electromigration first, with cross-section FIB as the next step, is how it should go. Great for teaching juniors to aim before they cut.”
“The catastrophic-vs-wear-out fork is the first call in any FA, and this encodes it well. Leakage-over-time → gate-oxide breakdown with emission microscopy is the right path. Pairs naturally with the wafer-map and root-cause tools for the population-level context.”
“Fast hypothesis from the electrical signature, with the matching technique — saves a planning meeting. The intermittent/temp → package logic matches our experience. Would love a guided decision tree, but as a triage assistant it's excellent.”
“Aiming the physical work is everything when samples and tool time are scarce. This ranks the mechanism and names the technique, which is the plan. The technique recommendations match our lab's playbook. Efficient and accurate.”
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symptom-weighted mechanism scoring → ranked likelihood → recommended FA technique · triage, not diagnosis · Last reviewed: 2026-06