  Ab initio atomic relaxations often take large numbers of steps and long times
to converge. An atomic relaxation method based on on-the-flight force learning
and a corresponding new curved line minimization algorithm is presented to
dramatically accelerate this process. Results for metal clusters demonstrate
the significant speedup of this method compared with conventional
conjugate-gradient method.
