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id
string
material_system
string
dpa_dose
int64
void_swelling_percent
float64
dimensional_stability_ratio
float64
temperature_c
int64
acoustic_coherence
float64
radiation_coherence_score
float64
structural_risk_flag
int64
service_horizon_cycles
int64
critical_region
string
mitigation_strategy
string
notes
string
constraints
string
gold_check
string
RAD-001
ODS-steel
12
0.8
0.96
420
0.88
0.87
0
520
none
monitor only
Stable regime
Under 300 words
coherence+risk+horizon
RAD-002
zircaloy
34
2.1
0.82
360
0.71
0.68
1
120
fuel cladding
reduce load
Swelling rising
Under 300 words
coherence+risk+horizon
RAD-003
SiC-composite
28
1.7
0.85
500
0.76
0.74
0
240
mid layer
thermal adjust
Stable trending
Under 300 words
coherence+risk+horizon
RAD-004
stainless-steel
48
3.9
0.62
390
0.52
0.55
1
60
core zone
anneal cycle
High risk
Under 300 words
coherence+risk+horizon
RAD-005
HT9-steel
22
1.3
0.9
410
0.82
0.81
0
360
none
monitor only
Healthy coupling
Under 300 words
coherence+risk+horizon
RAD-006
nickel-alloy
57
5.2
0.48
440
0.38
0.43
1
25
pressure boundary
replace section
Critical drift
Under 300 words
coherence+risk+horizon

What this dataset tests

Whether a system can detect coherence loss between

radiation dose void swelling dimensional stability

before structural failure.

Failure is not driven by dose alone. It begins when predictive relationships collapse.

Required outputs

radiation_coherence_score

swelling_divergence_rate

structural_risk_flag

service_horizon_cycles

critical_region

mitigation_strategy

Use case

Reactor materials fusion materials space radiation structures

Predict swelling-driven instability before distortion becomes irreversible.

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