Zobrazeno 1 - 10
of 217
pro vyhledávání: '"Victor Fung"'
Publikováno v:
BMJ Neurology Open, Vol 6, Iss Suppl 1 (2024)
Externí odkaz:
https://doaj.org/article/0c5268fc519e4b22a8f781844791463d
Autor:
Sinem Balta Beylergil, Krishna Nikhil Mukunda, Mohamed Elkasaby, Joel S. Perlmutter, Stewart Factor, Tobias Bäumer, Jeanne Feurestein, Erika Shelton, Steven Bellows, Joseph Jankovic, Abhimanyu Mahajan, Tila Wamer-Rosen, Stephen G. Reich, Aparna Wagle Shukla, Irene Malaty, Alberto Espay, Kevin Duque, Mark S. LeDoux, Rachel Saunders-Pullman, Katherine Leaver, Samuel Frank, Alexander Pantelyat, Victor Fung, Sarah Pirio Richardson, Brian Berman, Natividad Stover, Andres Deik, William Ondo, Christopher Groth, Hyder A. Jinnah, Aasef G. Shaikh
Publikováno v:
Dystonia, Vol 3 (2024)
Background: Cervical dystonia (CD) is the most common form of focal dystonia encountered in the clinic. Approximately one-third of CD patients have co-existing tremor in the head and hands. Assessment of tremor as regular or irregular in context of i
Externí odkaz:
https://doaj.org/article/fb0f957640434ceb9bf756aa79ae7fbd
Autor:
Michael J. Zachman, Victor Fung, Felipe Polo-Garzon, Shaohong Cao, Jisue Moon, Zhennan Huang, De-en Jiang, Zili Wu, Miaofang Chi
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
Precise control of charge transfer between catalyst nanoparticles and supports presents a unique opportunity to enhance catalytic performance. Here the authors demonstrate a scanning transmission electron microscopy method to visualize atomic-scale s
Externí odkaz:
https://doaj.org/article/6181a8101123431e8afc52bf5868aaa6
Autor:
Andrew S. Rosen, Victor Fung, Patrick Huck, Cody T. O’Donnell, Matthew K. Horton, Donald G. Truhlar, Kristin A. Persson, Justin M. Notestein, Randall Q. Snurr
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-10 (2022)
Abstract With the goal of accelerating the design and discovery of metal–organic frameworks (MOFs) for electronic, optoelectronic, and energy storage applications, we present a dataset of predicted electronic structure properties for thousands of M
Externí odkaz:
https://doaj.org/article/e0c539f7b8f34ab1bf3579bc903a0157
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-9 (2021)
Abstract The ability to readily design novel materials with chosen functional properties on-demand represents a next frontier in materials discovery. However, thoroughly and efficiently sampling the entire design space in a computationally tractable
Externí odkaz:
https://doaj.org/article/e0dd45626e454e04ac084d6c3eefaf2c
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-8 (2021)
Abstract Graph neural networks (GNNs) have received intense interest as a rapidly expanding class of machine learning models remarkably well-suited for materials applications. To date, a number of successful GNNs have been proposed and demonstrated f
Externí odkaz:
https://doaj.org/article/86b6e1b70bf24df7bb74a248da2c8e25
Autor:
Daniel J. van Wamelen, Anna Sauerbier, Valentina Leta, Carmen Rodriguez-Blazquez, Cristian Falup-Pecurariu, Mayela Rodriguez‐Violante, Alexandra Rizos, Y. Tsuboi, Vinod Metta, Roongroj Bhidayasiri, Kalyan Bhattacharya, Rupam Borgohain, L. K. Prashanth, Raymond Rosales, Simon Lewis, Victor Fung, Madhuri Behari, Vinay Goyal, Asha Kishore, Santiago Perez Lloret, Pablo Martinez-Martin, K. Ray Chaudhuri
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Growing evidence suggests that non-motor symptoms (NMS) in Parkinson’s disease (PD) have differential progression patterns that have a different natural history from motor progression and may be geographically influenced. We conducted a cr
Externí odkaz:
https://doaj.org/article/253a5f52cf804525a1285587c2b2f3ff
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Computational catalysis would strongly benefit from general descriptors applicable for predicting adsorption energetics. Here the authors propose a machine-learning approach for adsorption energy predictions based on learning the relevant descriptors
Externí odkaz:
https://doaj.org/article/db4b29d6fa904989b00edcedcb18059e
Autor:
Yitao Cao, Victor Fung, Qiaofeng Yao, Tiankai Chen, Shuangquan Zang, De-en Jiang, Jianping Xie
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-7 (2020)
Diverse methods have been developed to tailor the number of metal atoms in metal nanoclusters, but controlling the number of surface ligands is rare. Here, the authors realize reversible addition and elimination of a single thiolate ligand on a gold
Externí odkaz:
https://doaj.org/article/be3af1baff474692b77430a490f9fc73
Autor:
Peiwen Wu, Shuai Tan, Jisue Moon, Zihao Yan, Victor Fung, Na Li, Shi-Ze Yang, Yongqiang Cheng, Carter W. Abney, Zili Wu, Aditya Savara, Ayyoub M. Momen, De-en Jiang, Dong Su, Huaming Li, Wenshuai Zhu, Sheng Dai, Huiyuan Zhu
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
Strong metal–support interactions (SMSI) are effective in tuning the structures and catalytic performances of catalysts but limited by the poor exposure of active sites. Here, the authors develop a strategy to engineer SMSI via a reverse route, whi
Externí odkaz:
https://doaj.org/article/ccbc6682a6a747e5aedf7857118eb483