A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.

Abstract: Formulas of new “nonlinear conjugate gradient (CG)”, satisfying “the sufficient descent condition”, are proposed to solve problems of unconstrained optimization. Wolfe line search was ...

Abstract: Backpropagation neural networks are commonly utilized to solve complicated issues in various disciplines. However, optimizing their settings remains a significant task. Traditional ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...

Official implementation of GradES - a gradient-based selective training method that dynamically freezes converged modules during fine-tuning to achieve 40-50% computational savings without sacrificing ...