Join us for a free webinar on September 20, 2017, from 10am-11am PT.
View Online
AN AI QUANTUM BREAKTHROUGH: ANAKIN-ME
Join us for a free webinar with researchers from the University of Florida and the University of North Carolina on September 20, 2017, from 10am-11am PST to learn how GPU-accelerated deep learning techniques are advancing molecular energetics studies. The development of a new methodology, known as Accurate NeurAl networK engINe for Molecular Energies (ANAKIN-ME, or ANI for short) is able to describe the forces in molecules as accurately as density functional theory (DFT), but hundreds of thousands of times faster. This combination of speed and accuracy could allow researchers to tackle problems that were previously impossible, leading to breakthroughs in the arenas of drug discovery and materials science.

By attending this webinar, you will learn about:
    Using GPU deep learning to advance molecular energetics studies.
    Adapting the ANAKIN-ME method, which provides the tools to build a new class of neural network potentials (NNP) that is fully transferable and has chemical accuracy within an entire class of molecules.
    Optimizing GPU computing resources to speed up computing approaches.
SIGN-UP
20
SEP
 
WEBINAR DETAILS
Date: Wednesday, September 20, 2017
Time: 10:00am – 11:00am PT
Hosts: NVIDIA, University of Florida, University of North Carolina
Sign-up ►
NVIDIA

University of Florida

University of North Carolina
FOLLOW US
Facebook Twitter Instagram LinkedIn LinkedIn LinkedIn
Unsubscribe
© 2017 NVIDIA Corporation. All rights reserved.
NVIDIA Corporation, 2701 San Tomas Expressway, Santa Clara, CA 95050.