English
Related papers

Related papers: Reliable thermodynamic estimators for screening mu…

200 papers

Leveraging strong optoelectronic responses to external stimuli, such as temperature and electric fields, is central to the development of advanced photonic technologies, including adaptive photodetectors and reconfigurable photovoltaic…

Materials Science · Physics 2026-02-25 Pol Benítez , Cibrán López , Edgardo Saucedo , Claudio Cazorla

Metal additive manufacturing (AM) processes, such as laser powder bed fusion (L-PBF), can yield high-value parts with unique geometries and features, substantially reducing costs and enhancing performance. However, the material properties…

Machine learning materials properties measured by experiments is valuable yet difficult due to the limited amount of experimental data. In this work, we use a multi-fidelity random forest model to learn the experimental formation enthalpy…

Materials Science · Physics 2022-09-16 Sheng Gong , Shuo Wang , Tian Xie , Woo Hyun Chae , Runze Liu , Jeffrey C. Grossman

Melting is a high temperature process that requires extensive sampling of configuration space, thus making melting temperature prediction computationally very expensive and challenging. Over the past few years, I have built two methods to…

Materials Science · Physics 2022-04-12 Qi-Jun Hong

We propose a new strategy for determining the equation of state of a relativistic thermal quantum field theory by considering it in a moving reference system. In this frame an observer can measure the entropy density of the system directly…

High Energy Physics - Lattice · Physics 2014-07-23 Leonardo Giusti , Michele Pepe

We use low energy optical spectroscopy and first principles LDA+DMFT calculations to test the hypothesis that the anomalous transport properties of strongly correlated metals originate in the strong temperature dependence of their…

Strongly Correlated Electrons · Physics 2014-12-09 Xiaoyu Deng , Aaron Sternbach , Kristjan Haule , D. N. Basov , Gabriel Kotliar

We introduce a lattice dynamics package which calculates elastic, thermodynamic and thermal transport properties of crystalline materials from data on their force and potential energy as a function of atomic positions. The data can come…

The thermodynamic and physical properties of the Laves phase Fe2Mo have been investigated using the finite-temperature quantum mechanical calculations within the frame of the density functional theory (DFT). All relevant free energy…

Materials Science · Physics 2022-07-04 Dmitry Vasilyev

Efficient discovery of electrocatalysts for electrochemical energy conversion reactions is of utmost importance to combat climate change. With the example of the oxygen reduction reaction we show that by utilising a data-driven discovery…

Traditional refrigeration technologies based on compression cycles of greenhouse gases pose serious threats to the environment and cannot be downscaled to electronic device dimensions. Solid-state cooling exploits the thermal response of…

Materials exhibiting a large caloric effect could lead to the development of new generation of heat-management technologies that will have better energy efficiency and be potentially more environmentally friendly. The focus of caloric…

Soft Condensed Matter · Physics 2020-12-11 M. Lavrič , N. Derets , D. Črešnar , V. Cresta , V. Domenici , A. Rešetič , G. Skačej , M. Sluban , P. Umek , B. Zalar , Z. Kutnjak , B. Rožič

This work presents a fast and scalable approach for predicting surface stability and equilibrium crystal morphology in ionic materials using electrostatic analysis. The method constructs stoichiometric slab terminations and evaluates their…

Materials Science · Physics 2026-04-30 Sourav Baiju , Payam Kaghazchi

This study addresses microstructure selection mechanisms in rapid solidification, specifically targeting the transition from cellular/dendritic to planar interface morphologies under conditions relevant to additive manufacturing. We use a…

The precise knowledge of the temperature of an ultracold lattice gas simulating a strongly correlated system is a question of both, fundamental and technological importance. Here, we address such question by combining tools from quantum…

Quantum Physics · Physics 2015-09-08 Mohammad Mehboudi , Maria Moreno-Cardoner , Gabriele De Chiara , Anna Sanpera

The inverse magnetocaloric effect taking place at the antiferro-to-ferromagnetic transition of (Co,Fe)MnP phosphides has been characterized by magnetic and direct {\Delta}Tad measurements. In Co0.53Fe0.47MnP, entropy change of 1.5 Jkg-1K-1…

Materials Science · Physics 2015-06-17 F. Guillou , E. Brueck

The key problem of statistical physics standing over one hundred years is how to exactly calculate the partition function (or free energy) of many-body interaction systems, which severely hinders application of the theory for realistic…

Statistical Mechanics · Physics 2019-04-26 Bo-Yuan Ning , Le-Cheng Gong , Tsu-Chien Weng , Xi-Jing Ning

We report the ultrafast optical pump-probe spectroscopy measurements on the recently discovered quantum critical ferromagnet CeRh$_6$Ge$_4$. Our experimental results reveal the two-stage development of the hybridization between localized…

Strongly Correlated Electrons · Physics 2021-06-23 Y. H. Pei , Y. J. Zhang , Z. X. Wei , Y. X. Chen , K. Hu , Y. -F Yang , H. Q. Yuan , J. Qi

The lattice thermal conductivity ($\kappa_{\rm L} $) is a critical property of thermoelectrics, thermal barrier coating materials and semiconductors. While accurate empirical measurements of $\kappa_{\rm L} $ are extremely challenging, it…

Materials Science · Physics 2019-08-06 Lihua Chen , Huan Tran , Rohit Batra , Chiho Kim , Rampi Ramprasad

Materials underpin modern technologies, from energy harvesting, storage, and conversion to information and communication technologies. Their functionality is often governed by the interplay between competing phases, as thermodynamic…

Materials Science · Physics 2026-04-29 Lorenzo Bastonero , Gabriel Joalland , Chiara Cignarella , Lorenzo Monacelli , Nicola Marzari

Thorough characterization of the thermo-mechanical properties of materials requires difficult and time-consuming experiments. This severely limits the availability of data and it is one of the main obstacles for the development of effective…