Thermally driven low-spin∕high-spin phase transitions in solids

2005 ◽  
Vol 72 (2) ◽  
Author(s):  
S. W. Biernacki ◽  
B. Clerjaud
2015 ◽  
Vol 112 (3) ◽  
pp. 673-678 ◽  
Author(s):  
Lin Jiao ◽  
Ye Chen ◽  
Yoshimitsu Kohama ◽  
David Graf ◽  
E. D. Bauer ◽  
...  

Conventional, thermally driven continuous phase transitions are described by universal critical behavior that is independent of the specific microscopic details of a material. However, many current studies focus on materials that exhibit quantum-driven continuous phase transitions (quantum critical points, or QCPs) at absolute zero temperature. The classification of such QCPs and the question of whether they show universal behavior remain open issues. Here we report measurements of heat capacity and de Haas–van Alphen (dHvA) oscillations at low temperatures across a field-induced antiferromagnetic QCP (Bc0 ≈ 50 T) in the heavy-fermion metal CeRhIn5. A sharp, magnetic-field-induced change in Fermi surface is detected both in the dHvA effect and Hall resistivity at B0* ≈ 30 T, well inside the antiferromagnetic phase. Comparisons with band-structure calculations and properties of isostructural CeCoIn5 suggest that the Fermi-surface change at B0* is associated with a localized-to-itinerant transition of the Ce-4f electrons in CeRhIn5. Taken in conjunction with pressure experiments, our results demonstrate that at least two distinct classes of QCP are observable in CeRhIn5, a significant step toward the derivation of a universal phase diagram for QCPs.


2006 ◽  
Vol 112 ◽  
pp. 81-88 ◽  
Author(s):  
Kouhei Ichiyanagi ◽  
Johan Hebert ◽  
Loic Toupet ◽  
Hérve Cailleau ◽  
Eric Collet ◽  
...  

We investigated the thermo- and photo-induced phase transitions between low spin (LS) and high spin (HS) states of the molecular crystal of [Fe(PM-BiA)2(NCS)2] in the orthorhombic form, by using X-ray diffraction. The structure of the photoinduced HS state, generated from the LS state at low temperature, is compared to the structures of the HS and LS phases at thermal equilibrium and to the thermally trapped HS state. The preliminary results presented here show that the structural reorganization is similar in the different HS states.


2019 ◽  
Vol 10 (31) ◽  
pp. 7327-7332 ◽  
Author(s):  
Liang Li ◽  
Patrick Commins ◽  
Marieh B. Al-Handawi ◽  
Durga Prasad Karothu ◽  
Jad Mahmoud Halabi ◽  
...  

Being capable of rapid and complete structure switching, the martensitic phase transitions in molecular crystals are thought to hold a tremendous potential as thermally driven organic actuators.


1992 ◽  
Vol 03 (05) ◽  
pp. 1025-1058 ◽  
Author(s):  
KURT BINDER ◽  
KATHARINA VOLLMAYR ◽  
HANS-PETER DEUTSCH ◽  
JOSEPH D. REGER ◽  
MANFRED SCHEUCHER ◽  
...  

This brief review discusses methods to locate and characterize first order phase transitions, paying particular attention to finite size effects. In the first part, the order parameter probability distribution and its fourth-order cumulant is discussed for thermally driven first-order transitions (the 3-state Potts model in d=3 dimensions is treated as an example). First-order transitions are characterized by a minimum of the cumulant, which gets very deep for large enough systems. In the second part, we discuss how to locate first order phase boundaries ending in a critical point in a large parameter space. As an example, the study of the unmixing transition of asymmetric polymer mixtures by a combination of histogram techniques and finite size scaling is described. As a final problem, we discuss the shift of the gas-liquid condensation in thin-film geometry confined between two parallel plates due to boundary fields (“capillary condensation”). Being interested in temperatures far below bulk criticality (e. g. near the wetting transition), special thermodynamic integration techniques are the method of choice, rather than the use of finite sizes scaling to map out the (asymmetric) phase diagram.


Author(s):  
Roger Rubio-Sánchez ◽  
Derek K. O’Flaherty ◽  
Anna Wang ◽  
Francesca Coscia ◽  
Gianluca Petris ◽  
...  

1976 ◽  
Vol 9 (20) ◽  
pp. L553-L560 ◽  
Author(s):  
H E Stanley ◽  
R J Birgeneau ◽  
P J Reynolds ◽  
J F Nicoll

2002 ◽  
Vol 277 (2) ◽  
pp. 125-129 ◽  
Author(s):  
G.G. Levchenko ◽  
V. Ksenofontov ◽  
A.V. Stupakov ◽  
H. Spiering ◽  
Y. Garcia ◽  
...  

2021 ◽  
Vol 9 ◽  
Author(s):  
Jennifer Fowlie ◽  
Alexandru Bogdan Georgescu ◽  
Bernat Mundet ◽  
Javier del Valle ◽  
Philippe Tückmantel

In this perspective, we discuss the current and future impact of artificial intelligence and machine learning for the purposes of better understanding phase transitions, particularly in correlated electron materials. We take as a model system the rare-earth nickelates, famous for their thermally-driven metal-insulator transition, and describe various complementary approaches in which machine learning can contribute to the scientific process. In particular, we focus on electron microscopy as a bottom-up approach and metascale statistical analyses of classes of metal-insulator transition materials as a bottom-down approach. Finally, we outline how this improved understanding will lead to better control of phase transitions and present as an example the implementation of rare-earth nickelates in resistive switching devices. These devices could see a future as part of a neuromorphic computing architecture, providing a more efficient platform for neural network analyses – a key area of machine learning.


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