Volume 7, Issue 12 December 2023 | | Advertisement Early bird registration is open for March Meeting 2024 - one of the largest and most exciting conferences in physics! Witness groundbreaking physics research, network with potential employers, and prepare for career success at March Meeting 2024. Register today. | | | | | Advertisement | The American Physical Society (APS) has partnered with Research4Life to share its journals with researchers from nonprofits in over 115 countries, territories, and refugee camps at no cost. The Society will also cover article publication charges for new submissions from scientists belonging to these eligible groups beginning Jan. 1, 2024. Read more in the APS Newsroom | | | | | | Not an APS member? Join today to start connecting with a community of more than 50,000 physicists. | | | | Editors' Suggestion Nico Unglert, Jesús Carrete, Livia B. Pártay, and Georg K. H. Madsen Phys. Rev. Materials 7, 123804 (2023) – Published 20 December 2023 | Phase diagrams map out the thermodynamically stable conditions for different phases. Their predictive atomistic simulations demands integration of statistical mechanics and quantum mechanics, making computational cost a challenge. Our work successfully combines a neural-network model for silicon's potential energy with nested-sampling to predict its low-pressure phase diagram accurately. Trained on diverse silicon structures, the model aligns remarkably well with experiments, accurately reproducing the melting line and identifying stable structures. The fusion of neural networks and nested sampling opens the door to not only predict phase diagrams but also assess the accuracy of the underlying exchange-correlation functionals. | | | | | | Editors' Suggestion Letter J. Fraunié, R. Jamil, R. Kantelberg, S. Roux, L. Petit, E. Lepleux, L. Pacheco, K. Watanabe, T. Taniguchi, V. Jacques, L. Lombez, M. M. Glazov, B. Lassagne, X. Marie, and C. Robert Phys. Rev. Materials 7, L121002 (2023) – Published 27 December 2023 | 2D ferroelectric materials have attracted strong interest for their potential in future nanoelectronic devices. The recent discovery of 2D ferroelectricity in twisted layers of hexagonal boron nitride has opened the route to its integration into complex hybrid van der Waals heterostructures. Here the authors show that opposite polarizations in ferroelectric domains of a folded hBN layer imprint local n and p doping in a semiconducting WSe2 monolayer. They demonstrate that WSe2 can be used as an optical probe of ferroelectricity in hBN and show that doping can be controlled with the position of the semiconductor with respect to the ferroelectric interface. | | | | | | Gregory S. Doerk and Kevin G. Yager Phys. Rev. Materials 7, 120301 (2023) – Published 8 December 2023 | Blending block copolymers with homopolymers and other block copolymers provides control over self-assembly kinetics, and unlocks a diversity of non-native morphologies. The authors review this emerging paradigm, focusing on the thin film regime, providing examples of enhanced ordering kinetics, control of morphology orientation, and even the formation of non-native structures that do not appear in the bulk equilibrium phase diagram. | | | | | | Xiao-Yun Yan, Yuchu Liu, Xian-You Liu, Huanyu Lei, Xing-Han Li, Yicong Wang, Weiyi Li, Qing-Yun Guo, Mingjun Huang, and Stephen Z. D. Cheng Phys. Rev. Materials 7, 120302 (2023) – Published 14 December 2023 | Mesoatoms, micelle-like supramolecular clusters, play a crucial role as intermediate building blocks in the formation of self-assembled superlattices. This Research Update highlights giant molecules (GMs) for their precision at the molecular level, enabling a focused examination of mesoatomic characteristics. It systematically explores practical guidelines in molecular design, with the goal of achieving controlled fabrication of molecule-based superlattices. The categorization of phases based on structural features, ranging from simple spherical packing to quasicrystalline and crystalline arrangements, allows the unraveling of tunable mesoatomic traits like individual size, size difference, stoichiometry, and shape distributions. These traits emerge as pivotal considerations in the strategic design of spherical superlattice phases. | | | | | | Two-dimensional materials | Letter P. Mallet, F. Ibrahim, K. Abdukayumov, A. Marty, C. Vergnaud, F. Bonell, M. Chshiev, M. Jamet, and J-Y. Veuillen Phys. Rev. Materials 7, L121001 (2023) – Published 20 December 2023 | | | Editors' Suggestion Letter J. Fraunié, R. Jamil, R. Kantelberg, S. Roux, L. Petit, E. Lepleux, L. Pacheco, K. Watanabe, T. Taniguchi, V. Jacques, L. Lombez, M. M. Glazov, B. Lassagne, X. Marie, and C. Robert Phys. Rev. Materials 7, L121002 (2023) – Published 27 December 2023 | 2D ferroelectric materials have attracted strong interest for their potential in future nanoelectronic devices. The recent discovery of 2D ferroelectricity in twisted layers of hexagonal boron nitride has opened the route to its integration into complex hybrid van der Waals heterostructures. Here the authors show that opposite polarizations in ferroelectric domains of a folded hBN layer imprint local n and p doping in a semiconducting WSe2 monolayer. They demonstrate that WSe2 can be used as an optical probe of ferroelectricity in hBN and show that doping can be controlled with the position of the semiconductor with respect to the ferroelectric interface. | | | | | | Materials for Quantum Technologies | Letter Henry Navarro, Sarmistha Das, Felipe Torres, Rourav Basak, Erbin Qiu, Nicolas M. Vargas, Pavel N. Lapa, Ivan K. Schuller, and Alex Frano Phys. Rev. Materials 7, L123201 (2023) – Published 7 December 2023 | | | Crystal growth, crystallization, and kinetics | Heung-Sik Park, Ji Soo Lim, Jeonghun Suh, and Chan-Ho Yang Phys. Rev. Materials 7, 123401 (2023) – Published 15 December 2023 | | | Structural and mechanical properties | Vishnu Raghuraman, Michael Widom, Saro San, and Michael C. Gao Phys. Rev. Materials 7, 123601 (2023) – Published 11 December 2023 | | | R. Nicholls, D. A. Chaney, G. H. Lander, R. Springell, and C. Bell Phys. Rev. Materials 7, 123602 (2023) – Published 15 December 2023 | | | Suyue Yuan, Aoyan Liang, Chang Liu, Liang Tian, Normand Mousseau, and Paulo S. Branicio Phys. Rev. Materials 7, 123603 (2023) – Published 18 December 2023 | | | Ebrahim Mansouri and Pär Olsson Phys. Rev. Materials 7, 123604 (2023) – Published 21 December 2023 | | | Aynour Khosravi, Jun Song, and Normand Mousseau Phys. Rev. Materials 7, 123605 (2023) – Published 26 December 2023 | | | Kohei Shiotani, Tomoaki Niiyama, and Tomotsugu Shimokawa Phys. Rev. Materials 7, 123606 (2023) – Published 27 December 2023 | | | Development of new methods for materials | Christian Multunas, Andrew Grieder, Junqing Xu, Yuan Ping, and Ravishankar Sundararaman Phys. Rev. Materials 7, 123801 (2023) – Published 4 December 2023 | | | Nicholas Pellatz, Jungho Kim, Jong-Woo Kim, Itamar Kimchi, Gang Cao, and Dmitry Reznik Phys. Rev. Materials 7, 123802 (2023) – Published 4 December 2023 | | | Guy Ohad, Stephen E. Gant, Dahvyd Wing, Jonah B. Haber, María Camarasa-Gómez, Francisca Sagredo, Marina R. Filip, Jeffrey B. Neaton, and Leeor Kronik Phys. Rev. Materials 7, 123803 (2023) – Published 5 December 2023 | | | Editors' Suggestion Nico Unglert, Jesús Carrete, Livia B. Pártay, and Georg K. H. Madsen Phys. Rev. Materials 7, 123804 (2023) – Published 20 December 2023 | Phase diagrams map out the thermodynamically stable conditions for different phases. Their predictive atomistic simulations demands integration of statistical mechanics and quantum mechanics, making computational cost a challenge. Our work successfully combines a neural-network model for silicon's potential energy with nested-sampling to predict its low-pressure phase diagram accurately. Trained on diverse silicon structures, the model aligns remarkably well with experiments, accurately reproducing the melting line and identifying stable structures. The fusion of neural networks and nested sampling opens the door to not only predict phase diagrams but also assess the accuracy of the underlying exchange-correlation functionals. | | | | | | Two-dimensional materials | Santosh Neupane, Hong Tang, and Adrienn Ruzsinszky Phys. Rev. Materials 7, 124001 (2023) – Published 12 December 2023 | | | Yuji Hamamoto, Thanh Ngoc Pham, Malthe K. Bisbo, Bjørk Hammer, and Yoshitada Morikawa Phys. Rev. Materials 7, 124002 (2023) – Published 21 December 2023 | | | Topological and Dirac materials | Matheus I. N. Rosa, Bruce L. Davis, Liao Liu, Massimo Ruzzene, and Mahmoud I. Hussein Phys. Rev. Materials 7, 124201 (2023) – Published 13 December 2023 | | | Seoung-Hun Kang, Wei Luo, Sinchul Yeom, Yaling Zheng, and Mina Yoon Phys. Rev. Materials 7, 124202 (2023) – Published 14 December 2023 | | | Oreste De Luca, Igor A. Shvets, Sergey V. Eremeev, Ziya S. Aliev, Marek Kopciuszynski, Alexey Barinov, Fabio Ronci, Stefano Colonna, Evgueni V. Chulkov, Raffaele G. Agostino, Marco Papagno, and Roberto Flammini Phys. Rev. Materials 7, 124203 (2023) – Published 21 December 2023 | | | V. A. Golyashov, K. A. Kokh, and O. E. Tereshchenko Phys. Rev. Materials 7, 124204 (2023) – Published 22 December 2023 | | | Magnetic, ferroelectric, and multiferroic materials | Adrian Acosta, J. Mark P. Martirez, Norleakvisoth Lim, Jane P. Chang, and Emily A. Carter Phys. Rev. Materials 7, 124401 (2023) – Published 4 December 2023 | | | Kishwar-E Hasin and Elizabeth A. Nowadnick Phys. Rev. Materials 7, 124402 (2023) – Published 7 December 2023 | | | Verena Ney, Ruslan Salikhov, Kilian Lenz, Olav Hellwig, Jürgen Lindner, and Andreas Ney Phys. Rev. Materials 7, 124403 (2023) – Published 11 December 2023 | | | Wataru Sekino, Ryosuke Takei, Satomi Ito, Haruki Takei, Kenta Iwamoto, Yumiko Katayama, Kazunori Ueno, Hideki Kuwahara, and Takuro Katsufuji Phys. Rev. Materials 7, 124404 (2023) – Published 11 December 2023 | | | V. M. Pereira, A. Meléndez-Sans, C. F. Chang, C.-Y. Kuo, C. T. Chen, L. H. Tjeng, and S. G. Altendorf Phys. Rev. Materials 7, 124405 (2023) – Published 13 December 2023 | | | Xin Han, Yong Li, Meng Yang, Shanshan Miao, Dayu Yan, and Youguo Shi Phys. Rev. Materials 7, 124406 (2023) – Published 14 December 2023 | | | Roshni Yadav, Abdulhakim Bake, Wai Tung Lee, Yu-Kuai Liu, David R. G. Mitchell, Xin-Ren Yang, David L. Cortie, Ko-Wei Lin, and Chi Wah Leung Phys. Rev. Materials 7, 124407 (2023) – Published 15 December 2023 | | | S. Calder, R. Baral, N. Narayanan, and L. D. Sanjeewa Phys. Rev. Materials 7, 124408 (2023) – Published 15 December 2023 | | | Keke Feng, Jorge R. Galeano Cabral, Kaya Wei, and Ryan Baumbach Phys. Rev. Materials 7, 124409 (2023) – Published 19 December 2023 | | | A. Sud, Y.-C. Lau, J. Brierley, H. Kurebayashi, and T. Seki Phys. Rev. Materials 7, 124410 (2023) – Published 20 December 2023 | | | Nicolas Josten, Steffen Franzka, Ziyuan Rao, Tatiana Smoliarova, András Kovács, Franziska Scheibel, Franziska Staab, Mehmet Acet, Aslı Çakır, Karsten Durst, Baptiste Gault, Rafal E. Dunin-Borkowski, Oliver Gutfleisch, and Michael Farle Phys. Rev. Materials 7, 124411 (2023) – Published 26 December 2023 | | | Adrián Gudín, Alberto Anadón, Iciar Arnay, Rubén Guerrero, Julio Camarero, Sebastien Petit-Watelot, Paolo Perna, and Juan-Carlos Rojas-Sánchez Phys. Rev. Materials 7, 124412 (2023) – Published 28 December 2023 | | | Daiki Ootsuki, Tatsuhiro Ishida, Naoya Tsutsumi, Masaki Kobayashi, Kohdai Inagaki, Teppei Yoshida, Yukiharu Takeda, Shin-ichi Fujimori, Akira Yasui, Saiki Kitagawa, and Toshihiro Nakamura Phys. Rev. Materials 7, 124601 (2023) – Published 18 December 2023 | | | Superconducting materials | Pengfei Shan, Pengtao Yang, Yeting Shao, Ziyi Liu, Jun Hou, Bosen Wang, Yoshiya Uwatoko, Guanghan Cao, Jianping Sun, and Jinguang Cheng Phys. Rev. Materials 7, 124801 (2023) – Published 7 December 2023 | | | Ryan Stadel, Ryan DeRose, Keith M. Taddei, Matthew J. Krogstad, Puspa Upreti, Zahir Islam, Daniel Phelan, Duck Young Chung, Raymond Osborn, Stephan Rosenkranz, and Omar Chmaissem Phys. Rev. Materials 7, 124802 (2023) – Published 18 December 2023 | | | Shusaku Imajo, Takuya Kobayashi, Yuki Matsumura, Taiki Maeda, Yasuhiro Nakazawa, Hiromi Taniguchi, and Koichi Kindo Phys. Rev. Materials 7, 124803 (2023) – Published 26 December 2023 | | | Other electronic materials | Richmond Wang, Jihun Park, Rohit Pant, Suraj Maurya, Saya Takeuchi, Joseph A. Dura, Ichiro Takeuchi, and You Zhou Phys. Rev. Materials 7, 125001 (2023) – Published 22 December 2023 | | | Metamaterials, optical, photonic, and plasmonic materials | Markus Tyboroski, Rair Macêdo, and Robert E. Camley Phys. Rev. Materials 7, 125201 (2023) – Published 20 December 2023 | | | Victor H. Ortiz, Shashi B. Mishra, Luat Vuong, Sinisa Coh, and Richard B. Wilson Phys. Rev. Materials 7, 125202 (2023) – Published 22 December 2023 | | | Materials for energy harvesting, storage, and generation | Ryota Otsuki, Yoshiki J. Sato, Ryuji Okazaki, Tomoya Komine, Ryosuke Kurihara, and Hiroshi Yaguchi Phys. Rev. Materials 7, 125401 (2023) – Published 7 December 2023 | | | Zhe Zhang, Wu Gong, Xueting Zhao, Ji Qi, Mingze Li, Shuki Torii, Huaican Chen, Wen Yin, Koji Ohara, Zhidong Zhang, Yukinobu Kawakita, and Bing Li Phys. Rev. Materials 7, 125402 (2023) – Published 20 December 2023 | | | Andrea Grisafi, Augustin Bussy, Mathieu Salanne, and Rodolphe Vuilleumier Phys. Rev. Materials 7, 125403 (2023) – Published 22 December 2023 | | | Youming Xu, Yan Wu, Huibo Cao, Shucheng Guo, Jiaqiang Yan, and Xi Chen Phys. Rev. Materials 7, 125404 (2023) – Published 22 December 2023 | | | Soft, molecular, and amorphous materials | Szu-Ming Yang, Jinwoo Oh, Benjamin R. Magruder, Hee Joong Kim, Kevin D. Dorfman, Mahesh K. Mahanthappa, and Christopher J. Ellison Phys. Rev. Materials 7, 125601 (2023) – Published 4 December 2023 | Ordered nanostructures arising from block copolymer self-assembly, such as three-dimensional bicontinuous network phases with percolating and interpenetrating microdomain structures, are attractive in thin films for photonic crystals, optical metamaterials, size-selective separation membranes, and components in hybrid solar cells. This study describes the thin-film self-assembly behavior of a diblock copolymer, which undergoes melt-self-assembly in the bulk into a double gyroid (DG) network phase. The authors discovered film-thickness-dependent formation of topographical terraces, including islands, holes, and bicontinuous features. The occurrence of these terraces sensitively depends on the incommensurability of the as-prepared film thickness with the (211)-interplanar spacing of the DG unit cell. | | | | | | Aziz Ghoufi Phys. Rev. Materials 7, 126001 (2023) – Published 20 December 2023 | | | Materials for Quantum Technologies | Churna Bhandari, Cüneyt Şahin, Durga Paudyal, and Michael E. Flatté Phys. Rev. Materials 7, 126201 (2023) – Published 27 December 2023 | | | Yan Li and N. A. W. Holzwarth Phys. Rev. Materials 7, 129901 (2023) – Published 18 December 2023 | | | | |
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