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SUMMARY:Predicting Thermoelectric Materials Through Crystal Structure Pred
 iction and Energy Filtering Mechanisms - Simone Di Cataldo - Sapienza univ
 ersity of Rome
DTSTART:20260216T143000Z
DTEND:20260216T150000Z
UID:TALK244651@talks.cam.ac.uk
CONTACT:130300
DESCRIPTION:Predicting the thermoelectric performance of materials from fi
 rst principles typically requires the expensive computation of electronic 
 transport properties and scattering mechanisms. The recently proposed mech
 anism to reach ultrahigh power factors in Ni-based alloys\, however\, orig
 inates from an intrinsic energy filtering mechanism\, governed by a strong
 ly energy-dependent carrier mobility rather than traditional phonon-based 
 scattering [1]. In a nutshell\, energy filtering results from a sharp dens
 ity of states (DOS) right below the Fermi energy\, which is a computationa
 lly inexpensive quantity. Leveraging this insight\, we developed a combine
 d high-throughput and crystal structure prediction approach aimed at syste
 matically identifying novel thermoelectric materials.\n\nOur methodology c
 onsisted of a two-step screening process. In the first step\, we performed
  a high-throughput screening of binary metallic alloys by pairing transiti
 on metals (Ni\, Fe\, Co)\, known for their extremely large densities of st
 ates\, with all other elements of the periodic table in a reference struct
 ure. This initial screening identified element pairs with compatible Fermi
  energies and desirable density of states (DOS) features\, narrowing our s
 earch to 24 promising systems. In the second step\, we conducted rigorous 
 ab initio crystal structure prediction calculations on these 24 pairs to i
 dentify thermodynamically stable ground-state structures. Subsequent DOS c
 alculations allowed us to further select the most promising thermoelectric
  candidates.\n\nThis approach successfully pinpointed Ni3Ge\, Ni3Sn\, and 
 Ni3In alloys as exceptional candidates\, all of which demonstrate substant
 ial thermoelectric promise due to their optimized electronic structures th
 at feature overlapping flat and dispersive bands at the Fermi level. These
  predictions were experimentally validated\, revealing notably high thermo
 electric performance [2\,3]. This study exemplifies the effectiveness of c
 ombining high-throughput methods with crystal structure prediction for dis
 covering and optimizing thermoelectric performance in a broader class of m
 etallic alloys.\n\n[1] Garmroudi\, Fabian\, et al. "High thermoelectric pe
 rformance in metallic NiAu alloys via interband scattering." Science Advan
 ces 9.37 (2023):\neadj1611.\n[2] Garmroudi\, Fabian\, et al. "Topological 
 Flat-Band-Driven Metallic Thermoelectricity." Physical Review X 15.2 (2025
 ): 021054\n[3] Garmroudi\, Fabian\, et al. "Energy filtering-induced ultra
 high thermoelectric power factors in Ni3Ge." arXiv preprint arXiv:2501.048
 91 (2025).
LOCATION:https://zoom.us/j/92447982065?pwd=RkhaYkM5VTZPZ3pYSHptUXlRSkppQT0
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