[KongchangAI]
ModelTCSP 2.0

TCSP2.0

A previous version of the template-based crystal structure prediction system that uses sequential text substitution for element mapping and exhibits systematic deficiencies such as neglect of stoichiometric coefficients and symbol-level cascading errors.

Timeline (last 90 days)

Oct 27

Of the 2347 structures selected by the T180 benchmark, 469 (20%) had incorrect compositions in TCSP2.0.

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Oct 27

The root cause of TCSP2.0's composition errors lies in element mapping that ignores stoichiometric coefficients and in sequential text replacement that causes symbol cascading or corruption.

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Oct 27

On the T180 benchmark, TCSP3.0 achieves Top-1 and Top-20 match rates of 72.2% and 90.6%, respectively, whereas TCSP2.0 reaches only 28.3% and 45.6%.

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