Comparison of the Tetrahedron Method to Smearing Methods for the Electronic Density of States

Autor: Toriyama, M. Y., Ganose, A. M., Dylla, M., Anand, S., Park, J., Brod, M. K., Munro, J., Persson, K. A., Jain, A., Snyder, G. J.

The electronic density of states (DOS) highlights fundamental properties of materials that oftentimes dictate their properties, such as the band gap and Van Hove singularities. In this short note, we discuss how sharp features of the density of state

Externí odkaz: http://arxiv.org/abs/2103.03469

Hierarchical differences in the encoding of sound and choice in the subcortical auditory system.

Autor: Mackey CA; Neuroscience Graduate Program, Vanderbilt University, Nashville, Tennessee, United States.; Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States., Dylla M; Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States., Bohlen P; Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States., Grigsby J; Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States., Hrnicek A; Department of Neurobiology and Anatomy, Wake Forest University Health Sciences, Winston-Salem, North Carolina, United States., Mayfield J; Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States., Ramachandran R; Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

Publikováno v: Journal of neurophysiology [J Neurophysiol] 2023 Mar 01; Vol. 129 (3), pp. 591-608. Date of Electronic Publication: 2023 Jan 18.

When band convergence is not beneficial for thermoelectrics.

Autor: Park J; Energy Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. qkwnstn@gmail.com., Dylla M; Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA., Xia Y; Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA., Wood M; Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA., Snyder GJ; Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA. jeff.snyder@northwestern.edu., Jain A; Energy Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. ajain@lbl.gov.

Publikováno v: Nature communications [Nat Commun] 2021 Jun 08; Vol. 12 (1), pp. 3425. Date of Electronic Publication: 2021 Jun 08.

Learning Tuple Probabilities in Probabilistic Databases

Autor: Dylla, M., Theobald, M.

Publikováno v: Research Report

Learning the parameters of complex probabilistic-relational models from labeled training data is a standard technique in machine learning, which has been intensively studied in the subfield of Statistical Relational Learning (SRL), but---so far---thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1874::7a9016ce8c77d670e9d44e41355e7dfd
https://hdl.handle.net/11858/00-001M-0000-0019-8492-611858/00-001M-0000-0019-8496-D

Cost-effective method for computational prediction of thermal conductivity in optical materials based on cubic oxides.

Autor: Santonocito, A.^1,2 (AUTHOR), Patrizi, B.^2,3 (AUTHOR) barbara.patrizi@ino.cnr.it, Pirri, A.⁴ (AUTHOR), Vannini, M.² (AUTHOR), Toci, G.² (AUTHOR)

Publikováno v: Scientific Reports. 7/2/2024, Vol. 14 Issue 1, p1-17. 17p.