Multichannel Control of Multiferroicity in Single-Component Homochiral Organic Crystals.
Wei-Qiang LiaoYu-Ling ZengYuan-Yuan TangHang PengJun-Chao LiuRen-Gen XiongPublished in: Journal of the American Chemical Society (2021)
A ferroelectric/ferroelastic is a material whose spontaneous polarization/strain can be switched by applying an external electric field/mechanical stress. However, the optical control of spontaneous polarization/strain remains relatively unexplored in crystalline materials, although photoirradiation stands out as a nondestructive, noncontact, and remote-controlled stimulus beyond stress or electric field. Here, we present two new organic single-component homochiral photochromic multiferroics, ( R )- and ( S )- N -3,5-di- tert -butylsalicylidene-1-4-bromophenylethylamine (SA-Ph-Br( R ) and SA-Ph-Br( S )), which show a full ferroelectric/ferroelastic phase transition of 222F2 type at 336 K. Under photoirradiation, their spontaneous polarization/strain can be switched quickly within seconds and reversibly between two ferroelectric/ferroelastic phases with the respective enol and trans -keto forms triggered by structural photoisomerizations. In addition, they possess a superior acoustic impedance characteristic with a value of ∼2.42 × 10 6 kg·s -1 ·m -2 , lower than that of polyvinylidene fluoride (PVDF, (3.69-4.25) × 10 6 kg·s -1 ·m -2 ), which can better match human tissues. This work realizes for the first time that multiple ferroic orders in single-component organic crystals with ultralow acoustic impedance can be simultaneously controlled and coupled by three physical channels (electric, stress, light fields), suggesting their great potential in multichannel data storage, optoelectronics, and related applications compatible with all-organic electronics and human tissues.
Keyphrases
- endothelial cells
- water soluble
- room temperature
- gene expression
- induced pluripotent stem cells
- stress induced
- pluripotent stem cells
- mental health
- physical activity
- high resolution
- electronic health record
- mass spectrometry
- staphylococcus aureus
- machine learning
- drinking water
- magnetic resonance
- escherichia coli
- big data
- risk assessment
- heat stress
- pseudomonas aeruginosa
- artificial intelligence
- high speed
- deep learning
- candida albicans