Proves quantitative Einstein relation with explicit quenched algebraic rate for reversible diffusions in random environments.
Thermal agitation of electric charge in con ductors
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The work develops an analytical framework for block-error rate and goodput in RIS-assisted finite blocklength communications that accounts for RIS thermal noise, showing that neglecting it overestimates reliability especially as the number of elements grows.
WaveDiff with wavefront feature projection recovers WFE from noisy undersampled in-focus observations at ~3% error, a tenfold improvement over the prior version.
Tip-sample interaction noise in ambient DAFM arises from stochastic nanoscopic liquid neck formation and rupture, providing chemical contrast complementary to KPFM.
Passive RIS elements produce thermal noise that substantially affects outage probability and throughput, requiring revised analytical models.
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Quantitative Einstein relation for reversible diffusions in a random environment
Proves quantitative Einstein relation with explicit quenched algebraic rate for reversible diffusions in random environments.