Deep Learning, Personalized Pharmacotherapy, Pregnancy, Psychiatric Disorders, Electronic Health Records, Drug Efficacy Share and Cite: Filippis, R. and Foysal, A. (2025) Deep Learning for ...

Department of Engineering Mechanics, MIIT Key Laboratory of Dynamics and Control of Complex Systems, Northwestern Polytechnical University, Xi’an 710129, P. R. China ...

The HRS method gives details of the nonlinear optical properties at the molecular level. 55 The HRS first hyperpolarizability (β HRS) is defined by, In the literature, 62 the utilization of CAM-B3LYP ...

Chemical Sciences and Engineering Division, Argonne National Laboratory, Lemont, Illinois 60439, United States ...

PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., ...

This programs the chip to perform different nonlinear functions. “Nonlinear functions are critical for training deep neural networks,” said Liang Feng, professor in Materials Science and Engineering ...

While earlier photonic chips handled linear operations, none could perform nonlinear functions using only light—until now. “Without nonlinear functions, photonic chips can’t train deep networks or ...

Postdoctoral fellow Tianwei Wu (left) and Professor Liang Feng (right) in the lab, demonstrating some of the apparatus used to develop the new, light-powered chip. Penn Engineers have developed ...