Researchers developed a new model using artificial neural networks to predict soil liquefaction potential more accurately. By combining field data from standard penetration tests and cone penetration tests, the model successfully identified sites at risk of liquefaction. This model can help engineers assess seismic conditions in areas prone to soil liquefaction more effectively.