Yunhe Bai
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Yunhe Bai has a total of 25 co-authors. Here are the top co-authors by number of shared publications:
- Chuang Xie
Tianjin University
9 shared publications - Yang Ye
Jiangxi Normal University
5 shared publications - Qiuxiang Yin
School of Chemical Engineering and Technology, National Engineering Research Center of Industrial Crystallization Technology, Tianjin University, Tianjin 300072, China
4 shared publications - Hongxun Hao
National Engineering Research Center of Industrial Crystallization Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
3 shared publications - Luguang Qi
School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
3 shared publications Shutian XuanYuan
National Engineering Research Center of Industrial Crystallization Technology
3 shared publications
Latest Publications
- 7 December 2025
- Published by American Chemical Society (ACS) in Organic Process Research & Development
- Vol. 29 (12) , 3201-3209
Infrared Spectrum Distortion Phenomenon During the Crystallization Process of L-Carnitine and a Quantitative Study Based on Machine Learning
- 7 December 2025
- Published by American Chemical Society (ACS) in Organic Process Research & Development
- Vol. 29 (12) , 3201-3209
Infrared Spectrum Distortion Phenomenon During the Crystallization Process of L-Carnitine and a Quantitative Study Based on Machine Learning
- 13 January 2025
- Published by American Chemical Society (ACS) in Industrial & Engineering Chemistry Research
- Vol. 64 (4) , 2199-2207
Real-Time Optimization and Genetic Algorithm for Enhanced Process Control of Coupling Cooling and Antisolvent Crystallization
- 13 January 2025
- Published by American Chemical Society (ACS) in Industrial & Engineering Chemistry Research
- Vol. 64 (4) , 2199-2207
Real-Time Optimization and Genetic Algorithm for Enhanced Process Control of Coupling Cooling and Antisolvent Crystallization
- 27 April 2023
- Published by American Chemical Society (ACS) in Industrial & Engineering Chemistry Research
- Vol. 62 (18) , 7152-7159
Purity-Targeted Prediction of the Cooling Profile in Layer Melt Crystallization via Thermal Approximation
- 27 April 2023
- Published by American Chemical Society (ACS) in Industrial & Engineering Chemistry Research
- Vol. 62 (18) , 7152-7159
Purity-Targeted Prediction of the Cooling Profile in Layer Melt Crystallization via Thermal Approximation
- Open Access
An Attempt to Design Thermosalient Crystals by Co-Crystallization: The Twisted Angle between Aromatic Rings
Thermosalient (TS) crystals have gained considerable attention due to their potential applications in various fields, including in actuators, sensors, energy harvesting, and artificial muscles. Herein, co-crystallization was employed to construct TS crystals by forming a twisted angle between aromatic rings. Two multicomponent trimethoprim (TMP) TS cocrystals, TMP-25HBA and TMP-OA, were obtained. Differential scanning calorimetry (DSC) and variable-temperature powder X-ray diffraction (VT-PXRD) revealed that TMP-OA undergoes a solid-to-solid phase transition, while TMP-25HBA does not exhibit any phase transition. To the best of our knowledge, TMP-25HBA is the first multicomponent TS crystal without phase transition. The TS effect of both crystals is a result of the unit cell’s anisotropic expansion.
Open AccessAn Attempt to Design Thermosalient Crystals by Co-Crystallization: The Twisted Angle between Aromatic Rings
Thermosalient (TS) crystals have gained considerable attention due to their potential applications in various fields, including in actuators, sensors, energy harvesting, and artificial muscles. Herein, co-crystallization was employed to construct TS crystals by forming a twisted angle between aromatic rings. Two multicomponent trimethoprim (TMP) TS cocrystals, TMP-25HBA and TMP-OA, were obtained. Differential scanning calorimetry (DSC) and variable-temperature powder X-ray diffraction (VT-PXRD) revealed that TMP-OA undergoes a solid-to-solid phase transition, while TMP-25HBA does not exhibit any phase transition. To the best of our knowledge, TMP-25HBA is the first multicomponent TS crystal without phase transition. The TS effect of both crystals is a result of the unit cell’s anisotropic expansion.
- Open Access
Tuning Solid-State Emission of 9-Anthraldehyde through Cocrystal Engineering
The regulation of solid-state emission based on cocrystal engineering is an emerging strategy for developing next-generation luminescent materials. Here, three luminescent cocrystals (AA-DITFB, AA-TFTPA and AA-TCNB) of 9-anthraldehyde (9-AA) are reported, which exhibit a broad range of green-to-red emission. Tuning the photophysical properties of 9-AA via cocrystals is based on different mechanisms. Compared with single-component crystals, the difference in the emission properties of AA-DITFB and AA-TFTPA originates from the π–π interaction between chromophores. As for AA-TCNB, its prominent red-shifted emission is the result of the charge-transfer interaction, which is confirmed by infrared spectroscopy, “hole-electron” analysis and charge-transfer spectroscopy. This work not only reveals the relationship between molecular structure and fluorescent properties, but also proposes a strategy to develop multicolor luminescent systems with tunable efficiency and lifetime.
Open AccessTuning Solid-State Emission of 9-Anthraldehyde through Cocrystal Engineering
The regulation of solid-state emission based on cocrystal engineering is an emerging strategy for developing next-generation luminescent materials. Here, three luminescent cocrystals (AA-DITFB, AA-TFTPA and AA-TCNB) of 9-anthraldehyde (9-AA) are reported, which exhibit a broad range of green-to-red emission. Tuning the photophysical properties of 9-AA via cocrystals is based on different mechanisms. Compared with single-component crystals, the difference in the emission properties of AA-DITFB and AA-TFTPA originates from the π–π interaction between chromophores. As for AA-TCNB, its prominent red-shifted emission is the result of the charge-transfer interaction, which is confirmed by infrared spectroscopy, “hole-electron” analysis and charge-transfer spectroscopy. This work not only reveals the relationship between molecular structure and fluorescent properties, but also proposes a strategy to develop multicolor luminescent systems with tunable efficiency and lifetime.
- Open Access
Modeling and Operating Time Optimization of Layer Melt Crystallization and Sweating Processes
Improving the separation efficiency of the layer melt crystallization process is a key but difficult task. Herein, a comprehensive model involving both crystallization and sweating was proposed and used to optimize the operating time of crystallization and sweating processes. The crystallization process was modeled based on the relationship between differential and integral distribution coefficients under a constant layer growth rate. For the sweating process, an empirical sweating equation was employed to govern the sweating model, the parameters of which were determined experimentally using P-xylene as the model substance. The separation efficiency was then optimized by minimizing the operating time at a given product purity and yield. A sensitivity analysis showed that the crystallization and sweating times nonlinearly increase with increasing yield. After the yield exceeds 0.65, an increasing crystallization time is the dominant factor in improving the separation efficiency, while the sweating time and ratio even slightly decrease. The total operating time at low yield is U-shaped with the layer growth rate. The optimal layer growth rate decreases with increasing yield. This model provides guidance for determining the optimal operating parameters of layer melt crystallization and sweating processes.
Open AccessModeling and Operating Time Optimization of Layer Melt Crystallization and Sweating Processes
Improving the separation efficiency of the layer melt crystallization process is a key but difficult task. Herein, a comprehensive model involving both crystallization and sweating was proposed and used to optimize the operating time of crystallization and sweating processes. The crystallization process was modeled based on the relationship between differential and integral distribution coefficients under a constant layer growth rate. For the sweating process, an empirical sweating equation was employed to govern the sweating model, the parameters of which were determined experimentally using P-xylene as the model substance. The separation efficiency was then optimized by minimizing the operating time at a given product purity and yield. A sensitivity analysis showed that the crystallization and sweating times nonlinearly increase with increasing yield. After the yield exceeds 0.65, an increasing crystallization time is the dominant factor in improving the separation efficiency, while the sweating time and ratio even slightly decrease. The total operating time at low yield is U-shaped with the layer growth rate. The optimal layer growth rate decreases with increasing yield. This model provides guidance for determining the optimal operating parameters of layer melt crystallization and sweating processes.
- 29 January 2023
- Published by American Chemical Society (ACS) in Crystal Growth & Design
- Vol. 23 (3) , 1403-1411
Flexible Optical Waveguides in Heterocyclic Schiff Base Self-Assembled Hydrogen-Bonded Solvates
- 29 January 2023
- Published by American Chemical Society (ACS) in Crystal Growth & Design
- Vol. 23 (3) , 1403-1411
Flexible Optical Waveguides in Heterocyclic Schiff Base Self-Assembled Hydrogen-Bonded Solvates
- 7 December 2022
- Published by American Chemical Society (ACS) in Industrial & Engineering Chemistry Research
- Vol. 61 (50) , 18530-18536
Prediction of the Layer Growth Rate in Static Melt Crystallization
- 7 December 2022
- Published by American Chemical Society (ACS) in Industrial & Engineering Chemistry Research
- Vol. 61 (50) , 18530-18536
Prediction of the Layer Growth Rate in Static Melt Crystallization
- 4 March 2022
- Published by American Chemical Society (ACS) in Industrial & Engineering Chemistry Research
- Vol. 61 (10) , 3704-3712
Facile Model for Predicting Sweat Mass and Concentration in Layer Melt Crystallization
- 4 March 2022
- Published by American Chemical Society (ACS) in Industrial & Engineering Chemistry Research
- Vol. 61 (10) , 3704-3712
Facile Model for Predicting Sweat Mass and Concentration in Layer Melt Crystallization