Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Arun Mannodi Kanakkithodi"'
Publikováno v:
ACS Materials Au, Vol 4, Iss 6, Pp 557-573 (2024)
Externí odkaz:
https://doaj.org/article/8d2c37e13ee1467ca403abf08bb20a25
Autor:
Kamal Choudhary, Daniel Wines, Kangming Li, Kevin F. Garrity, Vishu Gupta, Aldo H. Romero, Jaron T. Krogel, Kayahan Saritas, Addis Fuhr, Panchapakesan Ganesh, Paul R. C. Kent, Keqiang Yan, Yuchao Lin, Shuiwang Ji, Ben Blaiszik, Patrick Reiser, Pascal Friederich, Ankit Agrawal, Pratyush Tiwary, Eric Beyerle, Peter Minch, Trevor David Rhone, Ichiro Takeuchi, Robert B. Wexler, Arun Mannodi-Kanakkithodi, Elif Ertekin, Avanish Mishra, Nithin Mathew, Mitchell Wood, Andrew Dale Rohskopf, Jason Hattrick-Simpers, Shih-Han Wang, Luke E. K. Achenie, Hongliang Xin, Maureen Williams, Adam J. Biacchi, Francesca Tavazza
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-17 (2024)
Abstract Lack of rigorous reproducibility and validation are significant hurdles for scientific development across many fields. Materials science, in particular, encompasses a variety of experimental and theoretical approaches that require careful be
Externí odkaz:
https://doaj.org/article/dd95e89a6ffb48b6b7fe3dd56910340f
Autor:
Md Habibur Rahman, Prince Gollapalli, Panayotis Manganaris, Satyesh Kumar Yadav, Ghanshyam Pilania, Brian DeCost, Kamal Choudhary, Arun Mannodi-Kanakkithodi
Publikováno v:
APL Machine Learning, Vol 2, Iss 1, Pp 016122-016122-18 (2024)
First-principles computations reliably predict the energetics of point defects in semiconductors but are constrained by the expense of using large supercells and advanced levels of theory. Machine learning models trained on computational data, especi
Externí odkaz:
https://doaj.org/article/d69c2a05bee64b1d8b4edec5e91a559c
Autor:
Chuang Han, Guanqun Han, Shukai Yao, Lan Yuan, Xingwu Liu, Zhi Cao, Arun Mannodi‐Kanakkithodi, Yujie Sun
Publikováno v:
Advanced Science, Vol 9, Iss 3, Pp n/a-n/a (2022)
Abstract Deuterium (D) labeling is of great value in organic synthesis, pharmaceutical industry, and materials science. However, the state‐of‐the‐art deuteration methods generally require noble metal catalysts, expensive deuterium sources, or h
Externí odkaz:
https://doaj.org/article/0f74126e43514a54a92d32ff0879e6f1
Autor:
Peijun Guo, Arun Mannodi-Kanakkithodi, Jue Gong, Yi Xia, Constantinos C. Stoumpos, Duyen H. Cao, Benjamin T. Diroll, John B. Ketterson, Gary P. Wiederrecht, Tao Xu, Maria K. Y. Chan, Mercouri G. Kanatzidis, Richard D. Schaller
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-8 (2019)
It has been challenging to probe whether dynamically disordered organic cations affect optical properties of CH3NH3PbI3. Here, Guo et al. employ infrared-pump electronic-probe spectroscopy and show that pump-induced atomic motions of the organic cati
Externí odkaz:
https://doaj.org/article/4a05a36bfba44fe9a411cd2954d5f4bc
Publikováno v:
MRS Communications. 12:531-542
Autor:
Jiaqi Yang, Arun Mannodi-Kanakkithodi
Publikováno v:
MRS Bulletin. 47:940-948
Autor:
Arun Mannodi-Kanakkithodi, Austin McDannald, Shijing Sun, Saaketh Desai, Keith A. Brown, A. Gilad Kusne
Publikováno v:
MRS Bulletin.
Publikováno v:
Chemistry – A European Journal.
Autor:
Arun Mannodi-Kanakkithodi
Publikováno v:
Nature Physics.