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Tingting Ye

Publications and source records attributed to Tingting Ye.

5 recordsLinked to original sources
arXiv2024

High-pressure synthesis of K_{4}N_{6} compound entirely composed of aromatic hexazine [N_{6}]^{4-} anion

The synthesis of hexazine N_{6} ring is another milestone in nitrogen chemistry after that of aromatic [N_{5}]^{-} anion. However, due to the diversity of carried charges, realizing compounds entirely composed of aromatic hexazine N_{6} ring potentially with high-stability is a challenge. The first reported hexazine N_{6} ring is [N_{6}]^{2-} anion in K_{2}N_{6} [Nat. Chem. 14, 794 (2022)] that does not adhere to H\''uckel's rule, and subsequently, the aromatic hexazine [N_{6}]^{4-} anion mixed with [N_{5}]^{-} anion and N_{2} dimers is realized in the complex compound K_{9}N_{56} [Nat. Chem. 15, 641 (2023)], where 5.36\% of N atoms form aromatic N_{6} ring. Here, we theoretically predict that all N atoms form aromatic hexazine [N_{6}]^{4-} anion in K_{4}N_{6}, which becomes stable at 60 GPa and can stably exist up to 600 K at 0 GPa. Following this approach, based on the diamond anvil cell, K_{4}N_{6} composed of 100\% aromatic hexazine [N_{6}]^{4-} anion is synthesized at 45 GPa after laser-heating and identified by synchrotron X-ray diffraction and Raman spectroscopy. Our results bring us closer to achieving aromatic N6 rings at ambient condition.

cond-mat.mtrl-sci↗
arXiv2024

Charge transfer induced cubic gauche nitrogen from azides

Cubic gauche nitrogen (cg-N) with a three-dimensional network of N-N single bonds attracted lots of attentions in last decades, since it theoretically has five times larger energy than TNT. While, extreme environments of high pressure or plasma treatment were required in traditional routes. Quite recently, in vacuum or protective gas environments, a one-step synthesis route relying solely on heating is reported giving the highest cg-N content. However, corresponding mechanism is missing, which hinders the improvement of yield and the development of simpler methods. Here, by treating KN3 in different gas environments, we find that moisture can prevent the transition from KN3 to cg-N. In a dry air environment at 260 ~ 300{\deg}C, KN3 decomposes into K and N2, and charge transfer from K to KN3 can induce cg-N. Furthermore, by grinding or loading pressure on the mixture of KN3 with Li, Na, K, Cs, Ca, Mg and Al, we find that elements with higher electronegativity, higher pressure and temperature conditions are needed to induce cg-N, while grinding alone is sufficient for alkali metals even without heating, thus confirming the charge-transfer mechanism. These findings provide guidance for the synthesis of cg-N under ambient conditions through metal-catalyzed polymerization of various azides.

cond-mat.mtrl-sci↗
arXiv2021

Photochemical Synthesis of P-S-H Ternary Hydride at High Pressures

The recent discovery of room temperature superconductivity (283 K) in carbonaceous sulfur hydride (C-S-H) has attracted lots of interests in ternary hydrogen rich materials. In this report, ternary hydride P-S-H has been synthesized through photochemical reaction from elemental sulfur (S), phosphorus (P) and molecular hydrogen (H2) at high pressures and room temperature. The Raman spectroscopy under pressure shows that H2S and PH3 compounds are synthesized after laser heating at 0.9 GPa and a ternary van der Waals compound P-S-H is synthesized with a further compression to 4.6 GPa. The P-S-H compound is probably a mixed alloy of PH3 and (H2S)2H2 with a guest-host structure similar to the C-S-H system. The ternary hydride can persist up to 35.6 GPa at least and shows two phase transitions at approximately 23.6 GPa and 32.8 GPa, respectively. The P-S-H ternary hydride in this report is a competitive candidate for new hydride superconductors with near room-temperature transitions.

cond-mat.mtrl-sci↗
arXiv2020

Asset Allocation via Machine Learning and Applications to Equity Portfolio Management

In this paper, we document a novel machine learning based bottom-up approach for static and dynamic portfolio optimization on, potentially, a large number of assets. The methodology applies to general constrained optimization problems and overcomes many major difficulties arising in current optimization schemes. Taking mean-variance optimization as an example, we no longer need to compute the covariance matrix and its inverse, therefore the method is immune from the estimation error on this quantity. Moreover, no explicit calls of optimization routines are needed. Applications to equity portfolio management in U.S. and China equity markets are studied and we document significant excess returns to the selected benchmarks.

q-fin.MF↗