Accepted Papers

Critical and flow stress surface of UO $_{2}$ single crystal using machine learning interatomic potential

Eliott T. Dubois, Paul Lafourcade, Julien Tranchida, Johann Bouchet, and Jean-Bernard Maillet

Accepted 4 August, 2026

diffpy.morph: Python tools for model-independent comparisons between sets of one-dimensional functions

Andrew Yang, Christopher L. Farrow, Pavol Juhás, Luis Kitsu Iglesias, Chia-Hao Liu, Samuel D. Marks, Vivian R. K. Wall, Joshua Safin, Sean M. Drewry, Caden Myers, Dillon F. Hanlon, Nicholas Leonard, Cedomir Petrovic, Ahhyun Jeong, Dmitri V. Talapin, Linda F. Nazar, Haidong Zhou, Samuel W. Teitelbaum, Tim B. van Driel, Soham Banerjee, Emil S. Bozin, Michael F. Toney, Katharine Page, Naomi S. Ginsberg, and Simon J. L. Billinge

Accepted 22 July, 2026

Identifying short- and long-range charge density wave orders in kagome-lattice ScV $_{6}$ Sn $_{6}$ via NMR spectroscopy

Xin Zhang, Yue Lu, Hang Li, Feng Zhou, Xuekui Xi, Yong-Chang Lau, Zhiwei Wang, and Wenhong Wang

Accepted 23 April, 2026

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Accepted Papers

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Critical and flow stress surface of UO $_{2}$ single crystal using machine learning interatomic potential

diffpy.morph: Python tools for model-independent comparisons between sets of one-dimensional functions

Identifying short- and long-range charge density wave orders in kagome-lattice ScV $_{6}$ Sn $_{6}$ via NMR spectroscopy

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Accepted Papers

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Critical and flow stress surface of UO2 single crystal using machine learning interatomic potential

diffpy.morph: Python tools for model-independent comparisons between sets of one-dimensional functions

Identifying short- and long-range charge density wave orders in kagome-lattice ScV6Sn6 via NMR spectroscopy

Critical and flow stress surface of UO $_{2}$ single crystal using machine learning interatomic potential

Identifying short- and long-range charge density wave orders in kagome-lattice ScV $_{6}$ Sn $_{6}$ via NMR spectroscopy