🔥New Research Led by German Academician Prof. Matthias Wuttig and Prof. Yuan Yu!
📚Stabilizing Moisture-Sensitive Thermoelectrics via Anodic Protection
👇Read the full article here:
https://t.co/YFjfWtmQu2
👏Congratulations!
#Thermoeelectrics#AdvancedEnergyConversion
We discuss burgeoning efforts to use data-driven and machine learning methods for defect simulations; in our contribution to the 100 Years of Point Defects special collection in MRS Bulletin
Plenty of challenges and opportunities alike!
w/@prashungorai@ArunKumarMK20
🔗👇
We are happy to have collaborated on the work recently published in @PhysRevB:
“Complete characterization of local thermoelectric properties using a micro four-point probe”
https://t.co/Uh8oZcGKYs @quimicasUCM@PCPSNM_QI_UCM
スピンカロリトロニクス実験の歴史と展望についてまとめたレビュー論文が、Journal of Magnetism and Magnetic Materials誌の創刊50周年特集号に掲載されました!
https://t.co/xYBKJL5X2v
#Spincaloritronics#Thermoelectrics
Multiscale Thermoelectric Transport: Bridging Quantum Mechanics to Macroscopic Systems Through the Landauer-Boltzmann Paradigm - now published in Journal of Materials Chemistry A https://t.co/bekT2EAHyE
Special issue in Chemistry of Materials, ACS to celebrate the remarkable contribution of Prof. Mercouri G. Kanatzidis @MercouriK - a true pioneer in solid-state and materials chemistry.
https://t.co/G09UNoHHXY
Weak Polar Optical Phonon Scattering Decouples Electron and Phonon Transport in Layered Thermoelectric Materials
https://t.co/Xxu9IbVAPr
236種層状半導体の高スループットDFT計算でPOP散乱が弱く低有効質量の材料をスクリーニング
お疲れ様です、、、というグラフだ
PhD Opportunities – Apply Now!MGICIAN (MSCA Doctoral Network) is recruiting 15 PhD candidates across Europe in sustainable thermoelectrics & solid-state cooling.
Fully funded
International
Academia + Industry
Deadline (30-04-2026) - don’t miss out!
Apply: https://t.co/GuqulPLz8l
A large family of high-entropy skutterudites is expored as promising thermoelectric materials through high-througput density calculations.
https://t.co/uR9Gl5YUOz
Deep Learning Framework for Accurate Prediction and High-Throughput Search of the Thermoelectric Figure of Merit in Skutterudites #machinelearning#compchem https://t.co/LeSnLpSRuW
Check out our latest publication in Journal of Materials Chemistry A, which shows how local Sn distortion and modular misfit nanostructures make the tin sulfide (SnS) an effective thermoelectric material.
https://t.co/UDNZuctqIp
@kanishkabiswas@jncasr
Happy to share our Recent work from #TQMlab published in @J_A_C_S
Beyond Kelvin’s Relation: A Giant Transverse Thomson Response for Efficient Cryogenic Cooling | Journal of the American Chemical Society https://t.co/l2WVW1MnWs
@pranav_negi_@chm_iiserb@iiserbhopal@ANRFIndia
Using a self-doping process induced by a phase transition, scientists enhanced the thermoelectric performance of α-MgAgSb. The work provides a way to maximize the electrical transport without chemical doping.
Learn more: https://t.co/7CP3D8fU8i
Starrydata is our open database project for materials informatics that I founded in 2015.
https://t.co/E4rmbzMutW
With many collaborators including researchers, engineers, data curators and industry, we have collected over 200,000 experimental plot curves from 50,000+ figures and 80,000+ samples from 10,000+ papers on functional materials including thermoelectric and magnetic materials. The data can be added and modified by any registered users. The whole dataset can be bulk-downloaded from the Google Drive linked from the menu bar of the web system. We distribute our dataset under CC-BY-4.0 license. We have developed several interactive data visualizers and data extraction tools for free. Any contributors developing new tools using our dataset are welcome, regardless of the openness.
Recent work published in @JMaterChem A presents a deep-learning framework for accurate prediction and high-throughput screening of the thermoelectric figure of merit in skutterudites. https://t.co/fQX1yyZ3oR @QuimicaUs@quimicasUCM@PCPSNM_QI_UCM