Article
Chemistry, Multidisciplinary
Wei Su, Thayalan Rajeshkumar, Libo Xiang, Laurent Maron, Qing Ye
Summary: In this contribution, uranium complexes with a pendant borate or borane moiety were synthesized and investigated. Complexes 3 and 4, bearing a pendant borane group, represent the first examples of uranium complexes with a pendant borane Lewis acid. The study showed that complex 3 is capable of CO activation and abnormal CO 1,2-insertion reaction, highlighting the importance of the pendant borane moiety.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2022)
Article
Nanoscience & Nanotechnology
Ki-In Choi, Dolly Yadav, Junghwan Jung, Eunkwang Park, Kyung-Min Lee, Taejin Kim, Jaewoo Kim
Summary: Parallel to CO2 emission, NOx emission has become a menacing problem that requires a simple, durable, and high-efficiency deNOx catalyst. In this study, we demonstrated the synthesis of platinum group metal nanoparticle-decorated f-BNNT as a catalyst for efficient and selective reduction of NO by CO at low temperatures. The catalyst showed high removal efficiencies of NO and CO, with NO catalytic reduction >99% at temperatures as low as 200 degrees C. The catalyst's robustness and efficiency were also verified through aging tests. The use of the noble metal nanoparticle-decorated f-BNNT catalysts can potentially save expensive PGM catalysts while maintaining similar or better catalytic performance for simultaneous NO and CO removals.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Chemistry, Multidisciplinary
Nicholas Mondinos, Mohammednoor Altarawneh, Amun Amri, Willey Yun Hsien Liew, Gerrard Eddy Jai Poinern, Zhong-Tao Jiang
Summary: This work investigates the adsorption of 1st and 2nd row elements on hexagonal boron nitride using accurate DFT computations, and evaluates the change in key electronic properties during the adsorption process. The results also lay a theoretical foundation for the use of decorated and defected BN as a chemical sensor for CO gases.
Article
Chemistry, Multidisciplinary
Junyi Wang, Shuai Zhu, Wangyang Ma, Zhenyang Lin, Qing Ye
Summary: BN-butafulvenes, mono-BN isosteres of butafulvene and highly strained isomers of azaborines and B-amino boroles, have been synthesized via hydrolysis of the urana-borabicyclic complexes obtained from the reactions of bis(alkynyl)boranes with an uranacyclopropene complex. Their 4-dimethylaminopyridine (DMAP) adducts can further isomerize to 1,2,4,6-multisubstituted BN-9,1-naphthalenes. Both NMR reaction monitoring and theoretical calculations point to a reaction mechanism involving dearomative insertion of DMAP followed by two consecutive 1,2-hydrogen shifts. The photophysical studies of the highly substituted BN-9,1-naphthalenes reveal a notable redshift in both the UV/Vis absorption and emission spectra. The (TD)-DFT calculations corroborate the experimental data, suggesting that the strong pi-donating amino substitution at the 1- and/or 6-positions destabilizes the HOMO, and thus leading to a notable decrease of the HOMO-LUMO gap.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Article
Chemistry, Multidisciplinary
Weitang Li, Zigeng Huang, Changsu Cao, Yifei Huang, Zhigang Shuai, Xiaoming Sun, Jinzhao Sun, Xiao Yuan, Dingshun Lv
Summary: Quantum computing has great potential in predicting chemical properties, but accurately simulating large realistic molecules remains challenging due to limitations of quantum hardware. This study proposes a method to overcome these limitations and demonstrates the potential of near-term quantum computers in solving real chemical problems.
Article
Chemistry, Physical
Alberto Guandalini, Pino D'Amico, Andrea Ferretti, Daniele Varsano
Summary: Many-body perturbation theory methods, such as the G(0)W(0) approximation, are accurate in predicting quasiparticle properties of materials, but for 2D semiconductors, calculating the QP band structure requires dense BZ sampling. This work shows a method that combines Monte Carlo integration with interpolation to achieve better convergence of QP corrections for 2D semiconductors.
NPJ COMPUTATIONAL MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Mahdi Abbasi, Ebrahim Nemati-Kande
Summary: Boron and nitrogen doped carbon nanotubes have unpredictable reactivity in physical and chemical reactions, with co-doping of boron in para position relative to nitrogen showing significant activation for carbon monoxide sensing. Theoretical calculations based on quantum mechanics suggest potential applications for nanotube-based nano-sensors.
JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS
(2021)
Article
Chemistry, Multidisciplinary
Hadi Dolati, Lars Denker, Bartosz Trzaskowski, Rene Frank
Summary: A new amido imidazoline-2-imine ligand system (HAmIm) has been developed for the isolation of stable boron and chalcogen boranes, showing improved chemical stability and enhanced sigma- and pi-donation compared to traditional systems. The discovery suggests potential applications in certain fields where the HAmIm ligand class may outperform the widely employed NacNac system.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2021)
Article
Chemistry, Applied
Ivan A. Skvortsov, Ivan A. Nikitin, Dmitriy A. Lazovskiy, Pavel A. Stuzhin
Summary: In this study, novel fluorinated low-symmetry subphthalocyanine azaanalogs containing phenyl substituted pyrazine rings were successfully synthesized using statistical template cyclotrimerization. The compounds were characterized by spectral methods and their electronic structures were analyzed using theoretical DFT methods and electrochemical measurements.
Article
Energy & Fuels
Jian Zhang, Zhengjiao Jin, Yuntao Liang, Jing Wang, Maolin Cai, Guangyao Si, Leilei Si, Yongliang Xu
Summary: In this study, coal loading experiments were conducted under a nitrogen atmosphere to investigate the characteristics of CO generation with different ranks of coal and temperatures. Macromolecular structures of different coals were established to reveal more details of CO generation at the molecular level. The mechanism of CO generation was analyzed by combining Materials Studio simulations, providing theoretical support for mine fire prevention and control and improving the prediction accuracy of coal spontaneous combustion. The results showed that low rank coal produced more CO when subjected to mechanical forces. The increase in temperature promoted the decomposition of coal samples by crushing to produce CO. The chemical bonds connected to the carbonyl group of coal molecules were more likely to be broken when subjected to external force.
Article
Materials Science, Multidisciplinary
Chanukorn Tabtimsai, Wandee Rakrai, Chatthai Kaewtong, Banchob Wanno
Summary: Density functional theory is used to study the geometry, binding, and adsorption properties of CO molecule on pristine and transition metal (TM)-doped boron nitride nanosheets (BNNS). The results show that TM atom binds strongly to BNNS with B and N vacancies, and the energy gaps of TM-doped BNNSs are smaller than pristine BNNS. CO tends to attach to TM-doped BNNSs with larger adsorption energy and shorter adsorption distance than pristine BNNS. The interaction between CO and TM-doped BNNSs is characterized by strong donor-acceptor interaction. The electrical conductivity and energy gaps of TM-doped BNNSs are significantly changed after CO adsorption. TM-doped BNNSs can be used as reactive and sensitive nanomaterials for adsorption and sensing applications.
DIAMOND AND RELATED MATERIALS
(2023)
Article
Nanoscience & Nanotechnology
Guohong Fan, Xiaohua Wang, Xianxian Tu, Hong Xu, Qi Wang, Xiangfeng Chu
Summary: Using density functional theory calculations, this study investigated the gas adsorption performance of pure BNNT and TM-doped BNNT (Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, or Zn). The results showed that TM doping significantly enhanced the gas adsorption performance of BNNT, with Cu-doped BNNT exhibiting high selectivity towards CO molecules.
Review
Medicine, Research & Experimental
Qi Dai, QiYao Yang, Xiaoyan Bao, Jiejian Chen, Min Han, Qichun Wei
Summary: Boron neutron capture therapy (BNCT) is a promising biological targeted technique for cancer therapy, with good targeting and high effectiveness. It causes less damage to surrounding healthy tissue compared to other methods. Measuring boron concentration is crucial but current technology falls short. This review discusses the development of methods and imaging to improve measurement accuracy.
MOLECULAR PHARMACEUTICS
(2022)
Review
Medicine, Research & Experimental
Qi Dai, QiYao Yang, Xiaoyan Bao, Jiejian Chen, Min Han, Qichun Wei
Summary: Boron neutron capture therapy (BNCT) is a promising cancer treatment method with good targeting and high efficacy. Measuring B-10 concentrations is vital for treatment effectiveness, but current technology needs improvement.
MOLECULAR PHARMACEUTICS
(2022)
Article
Physics, Condensed Matter
M. Lopes, S. Azevedo, J. R. Kaschny
Summary: In this study, first-principles calculations were used to analyze the structural stability and electronic properties of boron nanostructures with carbon impurities. The results showed that all doped structures were more stable than the pristine ones, and the doped planes exhibited metallic electronic behavior similar to the undoped sheets. For boron nanotubes, pristine structures behaved as semiconductors with small diameters, but doped tubes had a null gap regardless of diameter. Additionally, calculations including spin polarization revealed a non-zero magnetization for tubes with specific doping conditions.
SOLID STATE COMMUNICATIONS
(2022)
Article
Chemistry, Physical
Scott A. A. Southern, Da-Jiang Liu, Puranjan Chatterjee, Yuting Li, Frederic A. Perras
Summary: Dynamics play significant roles in chemistry and biochemistry, impacting both large- and small-scale chemical reactions and biochemical processes. However, characterizing dynamics remains a challenge in many systems, including heterogeneous catalysts.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2023)
Article
Chemistry, Physical
Katherine E. McCullough, Ian L. Peczak, Robert M. Kennedy, Yi-Yu Wang, James Lin, Xun Wu, Alexander L. Paterson, Frederic A. Perras, Jacklyn Hall, A. Jeremy Kropf, Ryan A. Hackler, Youngho Shin, Jens Niklas, Oleg G. Poluektov, Jianguo Wen, Wenyu Huang, Aaron D. Sadow, Kenneth R. Poeppelmeier, Massimiliano Delferro, Magali S. Ferrandon
Summary: This study presents a scalable synthesis method for Pt/STO by surface organometallic chemistry (SOMC) techniques using Pt(ii) acetylacetonate or trimethyl(methylcyclopentadienyl)platinum. The Pt/STO catalysts effectively hydrogenolyzed polyolefins into hydrocarbon oils, offering a promising approach for upcycling plastic waste. This new synthesis method overcomes the cost and resource-intensive issues associated with the previous atomic layer deposition (ALD) technique.
JOURNAL OF MATERIALS CHEMISTRY A
(2023)
Article
Nanoscience & Nanotechnology
Viviana Sousa, Arka Sarkar, Oleg I. Lebedev, Christophe Candolfi, Bertrand Lenoir, Rodrigo Coelho, Antonio P. Goncalves, Eliana M. F. Vieira, Pedro Alpuim, Kirill Kovnir, Yury V. Kolen'ko
Summary: This study presents a simple and effective method for the preparation of solution-processed chalcogenide thermoelectric materials. By using colloidal synthesis and spark plasma sintering, phase-pure chalcogenides with distinct morphologies were obtained. The solution-processed PbTe, PbSe, and SnSe exhibited low thermal conductivity and moderate thermoelectric performance. The findings of this study provide a valuable approach for the design of efficient solution-processed chalcogenide thermoelectrics.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Chemistry, Physical
Jiwon Jeong, Daewon Shim, Philip Yox, Myung-Ho Choi, Kang Min Ok, Kirill Kovnir, Gordon J. J. Miller, Tae-Soo You
Summary: Five novel Zintl phase solid solutions in the Ba1-x Sr x Zn2-y Cd y Sb2 system were synthesized and characterized. The radius ratio of cations and anionic elements was identified as a critical factor for phase selectivity. The structural transformation mechanism from CaAl2Si2-type phase to BaCu2S2-type phase was revealed. The thermoelectric properties were enhanced by Sr and Cd doping.
CHEMISTRY OF MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Vincenzo Pecunia, S. Ravi P. Silva, Jamie D. Phillips, Elisa Artegiani, Alessandro Romeo, Hongjae Shim, Jongsung Park, Jin Hyeok Kim, Jae Sung Yun, Gregory C. Welch, Bryon W. Larson, Myles Creran, Audrey Laventure, Kezia Sasitharan, Natalie Flores-Diaz, Marina Freitag, Jie Xu, Thomas M. Brown, Benxuan Li, Yiwen Wang, Zhe Li, Bo Hou, Behrang H. Hamadani, Emmanuel Defay, Veronika Kovacova, Sebastjan Glinsek, Sohini Kar-Narayan, Yang Bai, Da Bin Kim, Yong Soo Cho, Agne Zukauskaite, Stephan Barth, Feng Ru Fan, Wenzhuo Wu, Pedro Costa, Javier del Campo, Senentxu Lanceros-Mendez, Hamideh Khanbareh, Zhong Lin Wang, Xiong Pu, Caofeng Pan, Renyun Zhang, Jing Xu, Xun Zhao, Yihao Zhou, Guorui Chen, Trinny Tat, Il Woo Ock, Jun Chen, Sontyana Adonijah Graham, Jae Su Yu, Ling-Zhi Huang, Dan-Dan Li, Ming-Guo Ma, Jikui Luo, Feng Jiang, Pooi See Lee, Bhaskar Dudem, Venkateswaran Vivekananthan, Mercouri G. Kanatzidis, Hongyao Xie, Xiao-Lei Shi, Zhi-Gang Chen, Alexander Riss, Michael Parzer, Fabian Garmroudi, Ernst Bauer, Duncan Zavanelli, Madison K. Brod, Muath Al Malki, G. Jeffrey Snyder, Kirill Kovnir, Susan M. Kauzlarich, Ctirad Uher, Jinle Lan, Yuan-Hua Lin, Luis Fonseca, Alex Morata, Marisol Martin-Gonzalez, Giovanni Pennelli, David Berthebaud, Takao Mori, Robert J. Quinn, Jan-Willem G. Bos, Christophe Candolfi, Patrick Gougeon, Philippe Gall, Bertrand Lenoir, Deepak Venkateshvaran, Bernd Kaestner, Yunshan Zhao, Gang Zhang, Yoshiyuki Nonoguchi, Bob C. Schroeder, Emiliano Bilotti, Akanksha K. Menon, Jeffrey J. Urban, Oliver Fenwick, Ceyla Asker, A. Alec Talin, Thomas D. Anthopoulos, Tommaso Losi, Fabrizio Viola, Mario Caironi, Dimitra G. Georgiadou, Li Ding, Lian-Mao Peng, Zhenxing Wang, Muh-Dey Wei, Renato Negra, Max C. Lemme, Mahmoud Wagih, Steve Beeby, Taofeeq Ibn-Mohammed, K. B. Mustapha, A. P. Joshi
Summary: Ambient energy harvesting has the potential to contribute to sustainable development and power the growth of smart devices in the Internet of Things. Innovative materials are crucial for efficient energy conversion, and this Roadmap provides insights into recent advances and challenges in the field. Promising directions for future research are outlined to fully harness the potential of energy harvesting materials.
JOURNAL OF PHYSICS-MATERIALS
(2023)
Article
Chemistry, Physical
Seongyoung Kong, Prashant Singh, Georgiy Akopov, Dapeng Jing, Ryan Davis, Jorge Perez-Aguilar, Jiyun Hong, Shannon J. Lee, Gayatri Viswanathan, Ernesto Soto, Muhammad Azhan, Tiago Fernandes, Stasia Harycki, Alexander Gundlach-Graham, Yury V. V. Kolen'ko, Duane D. D. Johnson, Kirill Kovnir
Summary: Transition-metal phosphides (TMP) have been identified as promising electrocatalysts for the hydrogen evolution reaction (HER). Experimental studies on structurally related NiSi1-xPx phases confirmed the significance of phosphorus in modulating HER activity. Ni2SiP outperformed the current state-of-the-art Ni(5)P(4) electrocatalyst in terms of activity and stability, attributed to the presence of covalent Ni-Si bonding in the structure. The electrocatalytic activity of ternary Ni-Si-P compounds correlates with the number of Ni-3d states at the Fermi energy.
CHEMISTRY OF MATERIALS
(2023)
Article
Chemistry, Physical
Shannon J. Lee, Georgiy Akopov, Adedoyin N. Adeyemi, Ernesto Soto, Kui Wu, Kirill Kovnir
Summary: Noncentrosymmetric silicon phosphides have potential as nonlinear optical materials with strong second harmonic generation (SHG) activity and high laser damage threshold (LDT) values. Transition metal tetrel arsenides have not been studied for their nonlinear optical properties, in contrast to arsenides of electropositive metals. IrSi3As3, isostructural to IrSi3P3, is a novel compound that allows direct investigation of the impact of the heavier pnictogen on structural and optical properties. IrSi3As3 outperforms IrSi3P3 and the state-of-the-art SHG standard AgGaS2 in SHG activity and LDT.
JOURNAL OF MATERIALS CHEMISTRY A
(2023)
Article
Chemistry, Multidisciplinary
Frederic A. Perras, Alejandra Arroyave, Scott A. Southern, Jessica V. Lamb, Yuting Li, Anne LaPointe, Massimiliano Delferro
Summary: By using O-17-enriched supports, highly informative multidimensional NMR experiments, including radial and vertical distance measurements, can be conducted to elucidate the geometry of surface organometallic complexes.
CHEMICAL COMMUNICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Grayson Johnson, Moon Young Yang, Chang Liu, Hua Zhou, Xiaobing Zuo, Diane A. Dickie, Sihan Wang, Wenpei Gao, Bukuru Anaclet, Frederic A. Perras, Fuyan Ma, Chenjie Zeng, Da Wang, Sara Bals, Sheng Dai, Zhen Xu, Guoliang Liu, William A. Goddard III, Sen Zhang
Summary: A scalable and generalized approach to synthesizing superstructures assembled from atomically precise nanoclusters has been reported, with a detailed description of the self-assembly mechanism. The chemical tuning of surface ligands controls superstructure disassembly and reassembly, enabling the synthesis of multicomponent superstructures. This research is promising for the preparation of superstructures for use in electronics, plasmonics, magnetics, and catalysis.
Correction
Chemistry, Physical
Frederic A. Perras, Yoh Matsuki, Scott A. Southern, Thierry Dubroca, Dragos F. Flesariu, Johan Van Tol, Christos P. Constantinides, Panayiotis A. Koutentis
JOURNAL OF CHEMICAL PHYSICS
(2023)
Article
Chemistry, Inorganic & Nuclear
Nethmi W. Hewage, Gayatri Viswanathan, Philip Yox, Kui Wu, Kirill Kovnir, Georgiy Akopov
Summary: Non-centrosymmetric semiconductors have significant nonlinear optical properties, and a careful balance of SHG, LDT, and phase-matchability is required for practical applications. This study developed a synthetic method to produce solid solution and high-entropy sulfides containing up to 9 elements, and explored their crystal structure and NLO properties. The findings demonstrate the potential of these materials for enhanced SHG and improved LDT compared to standard materials.
INORGANIC CHEMISTRY FRONTIERS
(2023)
Article
Chemistry, Physical
Weiyi Xia, Ling Tang, Huaijun Sun, Chao Zhang, Kai-Ming Ho, Gayatri Viswanathan, Kirill Kovnir, Cai-Zhuang Wang
Summary: This study presents an integrated deep machine learning approach that combines crystal graph convolutional neural networks and artificial neural networks to predict formation energies and construct interatomic potentials. The application in the La-Si-P system demonstrates the great potential of this method in accelerating materials discovery.
JOURNAL OF MATERIALS CHEMISTRY A
(2023)