Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Hyesu Jang"'
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0272602 (2022)
In underwater environment, the study of object recognition is an important basis for implementing an underwater unmanned vessel. For this purpose, abundant experimental data to train deep learning model is required. However, it is very difficult to o
Externí odkaz:
https://doaj.org/article/cc7c82fd9207441bb74dec3c283d469c
Autor:
Simon Boothroyd, Pavan Kumar Behara, Owen C. Madin, David F. Hahn, Hyesu Jang, Vytautas Gapsys, Jeffrey R. Wagner, Joshua T. Horton, David L. Dotson, Matthew W. Thompson, Jessica Maat, Trevor Gokey, Lee-Ping Wang, Daniel J. Cole, Michael K. Gilson, John D. Chodera, Christopher I. Bayly, Michael R. Shirts, David L. Mobley
Publikováno v:
Journal of chemical theory and computation, vol 19, iss 11
We introduce the Open Force Field (OpenFF) 2.0.0 small molecule force field for drug-like molecules, code-named Sage, which builds upon our previous iteration, Parsley. OpenFF force fields are based on direct chemical perception, which generalizes ea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb71789c7555db802bd690b7ec3bb1ad
https://escholarship.org/uc/item/35b7v1pz
https://escholarship.org/uc/item/35b7v1pz
Publikováno v:
European Journal of Organic Chemistry. 2022
Publikováno v:
Journal of Korea Robotics Society. 16:179-188
Autor:
Simon Boothroyd, Pavan Kumar Behara, Owen Madin, David Hahn, Hyesu Jang, Vytautas Gapsys, Jeffrey Wagner, Joshua Horton, David Dotson, Matthew Thompson, Jessica Maat, Trevor Gokey, Lee-Ping Wang, Daniel Cole, Michael Gilson, John Chodera, Christopher Bayly, Michael Shirts, David Mobley
We introduce the Open Force Field (OpenFF) 2.0.0 small molecule force field for drug-like molecules, code-named Sage, which builds upon our previous iteration, Parsley. OpenFF force fields are based on direct chemical perception, which generalizes ea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0504fe14a152ad3e76dd45d1eae6f33
https://doi.org/10.26434/chemrxiv-2022-n2z1c
https://doi.org/10.26434/chemrxiv-2022-n2z1c
Publikováno v:
International Journal of Control, Automation and Systems. 18:605-614
Underwater imaging has long been focused on dehazing and color correction to address severe degradation in the water medium. In this paper, we propose a learning-based image restoration method that uses Generative Adversarial Networks (GAN). For netw
Publikováno v:
Journal of Korea Robotics Society. 15:1-7
Autor:
Michael K. Gilson, John D. Chodera, Bryon Tjanaka, Daniel A. Smith, Caitlin C. Bannan, Hyesu Jang, Michael R. Shirts, Yudong Qiu, Chaya D. Stern, Trevor Gokey, Lee-Ping Wang, Xavier Lucas, Victoria T. Lim, Christopher I. Bayly, David F. Hahn, Simon Boothroyd, David L. Mobley, Gary Tresadern, Andrea Rizzi, Jeffrey R. Wagner
Publikováno v:
J Chem Theory Comput
We present a methodology for defining and optimizing a general force field for classical molecular simulations, and we describe its use to derive the Open Force Field 1.0.0 small-molecule force field, codenamed Parsley. Rather than using traditional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52338355a022b64066c79c1a5a224008
https://europepmc.org/articles/PMC8511297/
https://europepmc.org/articles/PMC8511297/
Autor:
Yudong Qiu, Daniel Smith, Simon Boothroyd, Hyesu Jang, Jeffrey Wagner, Caitlin C. Bannan, Trevor Gokey, Victoria T. Lim, Chaya Stern, Andrea Rizzi, Xavier Lucas, Bryon Tjanaka, Michael R. Shirts, Michael Gilson, John Chodera, Christopher I. Bayly, David Mobley, Lee-Ping Wang
We present a methodology for defining and optimizing a general force field for classical molecular simulations, and we describe its use to derive the Open Force Field 1.0.0 small molecule force field, code-named Parsley. Rather than traditional atom-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2894c07fae81a3ec8972bd475567e204
https://doi.org/10.26434/chemrxiv-2021-l070l-v4
https://doi.org/10.26434/chemrxiv-2021-l070l-v4
Autor:
Hyesu Jang, MyungHwan Jeon, Yeongjun Lee, Taekyeong Yeu, Ayoung Kim, Young-Sik Shin, Master student, Robotics Program, Kaist, Daejeon, Korea
Publikováno v:
Journal of Korea Robotics Society. 14:139-149