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Recently, machine learning has emerged as an alternative, powerful approach for predicting quantum-mechanical properties of molecules and solids. Here, using kernel ridge regression and atomic fingerprints representing local environments of…

Materials Science · Physics 2018-03-08 Teppei Suzuki , Ryo Tamura , Tsuyoshi Miyazaki

Numerical simulations are used in this work to investigate aspects of microstructure and microsegregation during rapid solidification of a Ni-based superalloy in a laser powder bed fusion additive manufacturing process. Thermal modeling by…

Room and high temperature mechanical properties of reactive magnetron sputtered TaSiN coatings were measured using nanoindentation (between 25C and 500C). Fracture toughness was also evaluated at a similar temperature range using the…

A methodology is proposed, which addresses the caveat that line-of-sight emission spectroscopy presents in that it cannot provide spatially resolved temperature measurements in nonhomogeneous temperature fields. The aim of this research is…

Machine Learning · Computer Science 2022-12-16 Ruiyuan Kang , Dimitrios C. Kyritsis , Panos Liatsis

The usefulness of semi-analytical thermal models for predicting the connection between process, microstructure and properties in powder bed fusion has been well illustrated in recent years. Such an approach provides the promise of accuracy…

Materials Science · Physics 2024-04-05 Shaun R. Cooke , Chadwick W. Sinclair , Daan M. Maijer

In epitaxially strained ferroelectric thin films and superlattices, the ferroelectric transition temperature can lie above the growth temperature. Ferroelectric polarization and domains should then evolve during the growth of a sample, and…

Traditionally, 1D models based on scaling laws have been used to parameterized convective heat transfer rocks in the interior of terrestrial planets like Earth, Mars, Mercury and Venus to tackle the computational bottleneck of high-fidelity…

Earth and Planetary Astrophysics · Physics 2021-11-08 Siddhant Agarwal , Nicola Tosi , Pan Kessel , Doris Breuer , Grégoire Montavon

We present a computational framework for the simulations of powder-bed fusion of metallic alloys, which combines: (1) CalPhaD calculations of temperature-dependent alloy properties and phase diagrams, (2) macroscale finite element (FE)…

Materials Science · Physics 2022-05-10 S. M. Elahi , R. Tavakoli , A. K. Boukellal , T. Isensee , I. Romero , D. Tourret

Superconductors have been among the most fascinating substances, as the fundamental concept of superconductivity as well as the correlation of critical temperature and superconductive materials have been the focus of extensive investigation…

We present one-dimensional numerical simulations describing the behavior of solid matter exposed to subpicosecond near infrared pulsed laser radiation. We point out to the role of strong isochoric heating as a mechanism for producing highly…

Other Condensed Matter · Physics 2007-05-23 Jean-Philippe Colombier , Patrick Combis , Razvan Stoian , Eric Audouard

The accurate interpretation of experiments with matter at extreme densities and pressures is a notoriously difficult challenge. In a recent work [T.~Dornheim et al., Nature Comm. (in print), arXiv:2206.12805], we have introduced a formally…

X-ray laser-induced structural changes in silicon undergoing femtosecond melting have been investigated by using an x-ray pump-x-ray probe technique. The experimental results for different initial sample temperatures reveal that the onset…

Ultrathin microscale resistive thermometers are of key value to many applications. Here we have fabricated a laser machined 50 ${\mu}$m wide and 50 nm thick serpentine Pt thin film sensor capable of sensing temperatures up to 650 ${^\circ}$…

Instrumentation and Detectors · Physics 2019-11-12 Letian Wang , Zeqing Jin , Dongwoo Paeng , Yoonsoo Rho , Jiangyou Long , Matthew Eliceiri , YS. Kim , Costas P. Grigoropoulos

Transition-edge sensors are a type of superconducting detector that offers high energy resolution based on their sharp resistance-temperature feature in the superconducting-to-normal transition. TES X-ray microcalorimeters have typically…

Instrumentation and Detectors · Physics 2019-03-26 Daikang Yan , Lisa M. Gades , Tejas Guruswamy , Umeshkumar M. Patel , Orlando Quaranta , Antonino Miceli

Proteins typically undergo conformational dynamics on the microsecond to millisecond timescale as they perform their function, which is much faster than the time-resolution of cryo-electron microscopy and has thus prevented real-time…

Biological Physics · Physics 2021-07-07 Jonathan M. Voss , Oliver F. Harder , Pavel K. Olshin , Marcel Drabbels , Ulrich J. Lorenz

In the field of Artificial Intelligence (AI) and Machine Learning (ML), the approximation of unknown target functions $y=f(\mathbf{x})$ using limited instances $S={(\mathbf{x^{(i)}},y^{(i)})}$, where $\mathbf{x^{(i)}} \in D$ and $D$…

Machine Learning · Computer Science 2023-08-14 Pablo Moscato , Mohammad Nazmul Haque , Kevin Huang , Julia Sloan , Jon C. de Oliveira

Many alloys made by Additive Manufacturing (AM) require careful design of post-heat treatment as an indispensable step of microstructure engineering to further enhance the performance. We developed a high-throughput approach by fabricating…

Materials Science · Physics 2020-08-03 Yunhao Zhao , Noah Sargent , Kun Li , Wei Xiong

Infrared thermography is a powerful tool for studying liquid-to-vapor phase change processes. However, its application has been limited in the study of vapor-to-liquid phase transitions due to the presence of complex liquid dynamics,…

Computational Physics · Physics 2025-04-25 Siavash Khodakarami , Pouya Kabirzadeh , Chi Wang , Tarandeep Singh Thukral , Nenad Miljkovic

Structural characterization of nanoscale-two-metal-phase systems, which exhibit partial, complete, or no mixing when co-sputtered with a few percent of a minority element, is extremely challenging. Co-sputtering two metals at room…

Materials Science · Physics 2025-09-10 Claudia Cancellieri , Giacomo Lorenzin , Yeliz Unutulmazsoy , Andriy Lotnyk , Daniel Ariosa
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