Ryczko K - Search Results

1

Interband Cascade Active Region with Ultra-Broad Gain in the Mid-Infrared Range.

Ryczko K, Zielińska A, Sęk G. Ryczko K, et al. Materials (Basel). 2021 Feb 27;14(5):1112. doi: 10.3390/ma14051112. Materials (Basel). 2021. PMID: 33673544 Free PMC article.

2

Towards Interband Cascade lasers on InP Substrate.

Ryczko K, Andrzejewski J, Sęk G. Ryczko K, et al. Materials (Basel). 2021 Dec 22;15(1):60. doi: 10.3390/ma15010060. Materials (Basel). 2021. PMID: 35009205 Free PMC article.

3

Interface Intermixing in Type II InAs/GaInAsSb Quantum Wells Designed for Active Regions of Mid-Infrared-Emitting Interband Cascade Lasers.

Motyka M, Sęk G, Ryczko K, Dyksik M, Weih R, Patriarche G, Misiewicz J, Kamp M, Höfling S. Motyka M, et al. Among authors: ryczko k. Nanoscale Res Lett. 2015 Dec;10(1):471. doi: 10.1186/s11671-015-1183-x. Epub 2015 Dec 7. Nanoscale Res Lett. 2015. PMID: 26643652 Free PMC article.

4

Efficient determination of Born-effective charges, LO-TO splitting, and Raman tensors of solids with a real-space atom-centered deep learning approach.

Malenfant-Thuot O, Ryczko K, Tamblyn I, Côté M. Malenfant-Thuot O, et al. Among authors: ryczko k. J Phys Condens Matter. 2024 Jul 25;36(42). doi: 10.1088/1361-648X/ad64a2. J Phys Condens Matter. 2024. PMID: 39019077

5

Accelerated Organic Crystal Structure Prediction with Genetic Algorithms and Machine Learning.

Kadan A, Ryczko K, Wildman A, Wang R, Roitberg A, Yamazaki T. Kadan A, et al. Among authors: ryczko k. J Chem Theory Comput. 2023 Dec 26;19(24):9388-9402. doi: 10.1021/acs.jctc.3c00853. Epub 2023 Dec 7. J Chem Theory Comput. 2023. PMID: 38059458

6

Attempts to Attract Eyesight in E-Commerce May Have Negative Effects.

Sulikowski P, Ryczko K, Bąk I, Yoo S, Zdziebko T. Sulikowski P, et al. Among authors: ryczko k. Sensors (Basel). 2022 Nov 8;22(22):8597. doi: 10.3390/s22228597. Sensors (Basel). 2022. PMID: 36433194 Free PMC article.

7

Machine Learning Diffusion Monte Carlo Energies.

Ryczko K, Krogel JT, Tamblyn I. Ryczko K, et al. J Chem Theory Comput. 2022 Dec 13;18(12):7695-7701. doi: 10.1021/acs.jctc.2c00483. Epub 2022 Nov 1. J Chem Theory Comput. 2022. PMID: 36317712

8

Toward Orbital-Free Density Functional Theory with Small Data Sets and Deep Learning.

Ryczko K, Wetzel SJ, Melko RG, Tamblyn I. Ryczko K, et al. J Chem Theory Comput. 2022 Feb 8;18(2):1122-1128. doi: 10.1021/acs.jctc.1c00812. Epub 2022 Jan 7. J Chem Theory Comput. 2022. PMID: 34995061

9

Neural evolution structure generation: High entropy alloys.

Tetsassi Feugmo CG, Ryczko K, Anand A, Singh CV, Tamblyn I. Tetsassi Feugmo CG, et al. Among authors: ryczko k. J Chem Phys. 2021 Jul 28;155(4):044102. doi: 10.1063/5.0049000. J Chem Phys. 2021. PMID: 34340376

10

Extensive deep neural networks for transferring small scale learning to large scale systems.

Mills K, Ryczko K, Luchak I, Domurad A, Beeler C, Tamblyn I. Mills K, et al. Among authors: ryczko k. Chem Sci. 2019 Mar 20;10(15):4129-4140. doi: 10.1039/c8sc04578j. eCollection 2019 Apr 21. Chem Sci. 2019. PMID: 31015950 Free PMC article.

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

10 results

Search Page

Filters