Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Zhantao Chen"'
Publikováno v:
iScience, Vol 27, Iss 9, Pp 110672- (2024)
Summary: Inspired by advancements in natural language processing, we utilize self-supervised learning and an equivariant graph neural network to develop a unified platform for training generative models capable of generating inorganic crystal structu
Externí odkaz:
https://doaj.org/article/bc94ee6b48de43639a343285a28b97f6
Autor:
Sathya R. Chitturi, Zhurun Ji, Alexander N. Petsch, Cheng Peng, Zhantao Chen, Rajan Plumley, Mike Dunne, Sougata Mardanya, Sugata Chowdhury, Hongwei Chen, Arun Bansil, Adrian Feiguin, Alexander I. Kolesnikov, Dharmalingam Prabhakaran, Stephen M. Hayden, Daniel Ratner, Chunjing Jia, Youssef Nashed, Joshua J. Turner
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-8 (2023)
Abstract Understanding the nature and origin of collective excitations in materials is of fundamental importance for unraveling the underlying physics of a many-body system. Excitation spectra are usually obtained by measuring the dynamical structure
Externí odkaz:
https://doaj.org/article/5ef09a9e6cb14cf3a202eb28adf8c602
Autor:
Nathan C. Drucker, Thanh Nguyen, Fei Han, Phum Siriviboon, Xi Luo, Nina Andrejevic, Ziming Zhu, Grigory Bednik, Quynh T. Nguyen, Zhantao Chen, Linh K. Nguyen, Tongtong Liu, Travis J. Williams, Matthew B. Stone, Alexander I. Kolesnikov, Songxue Chi, Jaime Fernandez-Baca, Christie S. Nelson, Ahmet Alatas, Tom Hogan, Alexander A. Puretzky, Shengxi Huang, Yue Yu, Mingda Li
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract The interplay between magnetism and electronic band topology enriches topological phases and has promising applications. However, the role of topology in magnetic fluctuations has been elusive. Here, we report evidence for topology stabilize
Externí odkaz:
https://doaj.org/article/cf6134aab44a46b2b76450c62914057e
Autor:
Helena A. Merker, Harry Heiberger, Linh Nguyen, Tongtong Liu, Zhantao Chen, Nina Andrejevic, Nathan C. Drucker, Ryotaro Okabe, Song Eun Kim, Yao Wang, Tess Smidt, Mingda Li
Publikováno v:
iScience, Vol 25, Iss 10, Pp 105192- (2022)
Summary: The determination of magnetic structure poses a long-standing challenge in condensed matter physics and materials science. Experimental techniques such as neutron diffraction are resource-limited and require complex structure refinement prot
Externí odkaz:
https://doaj.org/article/e340aac72c7b44fead97ac3c8185bb6b
Autor:
Zhantao Chen, Cheng Peng, Alexander N Petsch, Sathya R Chitturi, Alana Okullo, Sugata Chowdhury, Chun Hong Yoon, Joshua J Turner
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 4, p 045056 (2023)
Advanced experimental measurements are crucial for driving theoretical developments and unveiling novel phenomena in condensed matter and materials physics, which often suffer from the scarcity of large-scale facility resources, such as x-ray or neut
Externí odkaz:
https://doaj.org/article/f3310b8ae0934ebcb8eb11703d408d7b
Autor:
Zhantao Chen, Nina Andrejevic, Tess Smidt, Zhiwei Ding, Qian Xu, Yen‐Ting Chi, Quynh T. Nguyen, Ahmet Alatas, Jing Kong, Mingda Li
Publikováno v:
Advanced Science, Vol 8, Iss 12, Pp n/a-n/a (2021)
Abstract Machine learning has demonstrated great power in materials design, discovery, and property prediction. However, despite the success of machine learning in predicting discrete properties, challenges remain for continuous property prediction.
Externí odkaz:
https://doaj.org/article/2144f83d82a243c8924b549a37baf9aa
Autor:
Nathan C. Drucker, Tongtong Liu, Zhantao Chen, Ryotaro Okabe, Abhijatmedhi Chotrattanapituk, Thanh Nguyen, Yao Wang, Mingda Li
Publikováno v:
Synchrotron Radiation News. 35:16-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b6e52fbc5af71174f399ea2d9bbfd20
https://doi.org/10.1080/08940886.2022.2112498
https://doi.org/10.1080/08940886.2022.2112498
Autor:
Ang-Yu, Lu, Luiz Gustavo Pimenta, Martins, Pin-Chun, Shen, Zhantao, Chen, Ji-Hoon, Park, Mantian, Xue, Jinchi, Han, Nannan, Mao, Ming-Hui, Chiu, Tomás, Palacios, Vincent, Tung, Jing, Kong
Publikováno v:
Advanced materials (Deerfield Beach, Fla.). 34(34)
2D transition metal dichalcogenides (TMDCs) with intense and tunable photoluminescence (PL) have opened up new opportunities for optoelectronic and photonic applications such as light-emitting diodes, photodetectors, and single-photon emitters. Among
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::71c1cb4f580b16ed48b8250ddf71f08e
https://pubmed.ncbi.nlm.nih.gov/35790036
https://pubmed.ncbi.nlm.nih.gov/35790036
Autor:
Zhantao Chen, Xiaozhe Shen, Nina Andrejevic, Tongtong Liu, Duan Luo, Thanh Nguyen, Nathan C. Drucker, Michael E. Kozina, Qichen Song, Chengyun Hua, Gang Chen, Xijie Wang, Jing Kong, Mingda Li
Publikováno v:
Advanced Materials. 35:2206997
One central challenge in understanding phonon thermal transport is a lack of experimental tools to investigate frequency-resolved phonon transport. Although recent advances in computation lead to frequency-resolved information, it is hindered by unkn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91816cd13e0183bce77c492c39a07ad4
https://doi.org/10.1002/adma.202206997
https://doi.org/10.1002/adma.202206997
Publikováno v:
Soft Matter. 15:381-392
Cavity expansion can be used to measure the local nonlinear elastic properties in soft materials, regardless of the specific damage or instability mechanism that it may ultimately induce. To that end, we introduce a volume-controlled cavity expansion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac472006d197414a0d8b3f2003250e6a
https://doi.org/10.1039/c8sm02142b
https://doi.org/10.1039/c8sm02142b