Deciphering the effect of synthesis methods on the thermoelectric properties of ZnO nanostructures
Shivam K. Singh +8 more
openalex +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
A Zero-Bias Superconducting Voltage Amplifier Based on the Bipolar Thermoelectric Effect [PDF]
Giacomo Trupiano +2 more
openalex +2 more sources
Thermal-field coupling toward efficient water electrolysis. [PDF]
Liu D, Wan J, Gao S, Li H.
europepmc +1 more source
Effect of SWCNT, ferrocene, and cobalt oxide on the thermoelectric performance of PEDOT:PSS-based composite films [PDF]
Serhat Koçyığıt +3 more
openalex +1 more source
This study presents ultrathin, high‐capacity aluminum‐air batteries (AABs) for self‐sustaining, skin‐conformal electronics. By utilizing ambient moisture and oxygen alongside a LiCl‐based hygroscopic hydrogel electrolyte, the design significantly reduces battery thickness while preventing dehydration and Al self‐corrosion.
Jaeil Park +12 more
wiley +1 more source
DFT insight into tuning electron-phonon transmission and thermoelectric transport in nanoscale GeTe devices: effects of Sb substitutional doping. [PDF]
Balaji AS +5 more
europepmc +1 more source
Large Anomalous Nernst Effect in Disordered CoPt Thin Films for Planar Thermoelectric Sensing
Mojtaba Mohammadi +2 more
openalex +1 more source
Thermoradiative Diodes Using Black Phosphorus van der Waals Materials
We demonstrate thermoradiative diodes based on black phosphorus (bP${\rm bP}$)/molybdenum disulfide (MoS2$MoS_2$) van der Waals heterojunctions which generate power by exchanging photons with a colder environment. The bandgap of black phosphorus is well positioned to exchange photons with outer space through the mid‐wave atmospheric window.
Yuchen Sun +13 more
wiley +1 more source
A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source

