1. A high-throughput data analysis and materials discovery tool for strongly correlated materials. (December 2018) Authors: Hafiz, Hasnain; Khair, Adnan; Choi, Hongchul; Mueen, Abdullah; Bansil, Arun; Eidenbenz, Stephan; Wills, John; Zhu, Jian-Xin; Balatsky, Alexander; Ahmed, Towfiq Journal: Npj computational materials Issue: Volume 4:issue 1(2018) Page Start: 1 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. A high-throughput data analysis and materials discovery tool for strongly correlated materials. (December 2018) Authors: Hafiz, Hasnain; Khair, Adnan; Choi, Hongchul; Mueen, Abdullah; Bansil, Arun; Eidenbenz, Stephan; Wills, John; Zhu, Jian-Xin; Balatsky, Alexander; Ahmed, Towfiq Journal: Npj computational materials Issue: Volume 4:issue 1(2018) Page Start: 1 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. A machine learning approach to model solute grain boundary segregation. (December 2018) Authors: Huber, Liam; Hadian, Raheleh; Grabowski, Blazej; Neugebauer, Jörg Journal: Npj computational materials Issue: Volume 4:issue 1(2018) Page Start: 1 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. A machine learning approach to model solute grain boundary segregation. (December 2018) Authors: Huber, Liam; Hadian, Raheleh; Grabowski, Blazej; Neugebauer, Jörg Journal: Npj computational materials Issue: Volume 4:issue 1(2018) Page Start: 1 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. A thermodynamic potential for barium zirconate titanate solid solutions. (December 2018) Authors: Peng, Jinlin; Shan, Dongliang; Liu, Yunya; Pan, Kai; Lei, Chihou; He, Ningbo; Zhang, Zhenyu; Yang, Qiong Journal: Npj computational materials Issue: Volume 4:issue 1(2018) Page Start: 1 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. An efficient and accurate framework for calculating lattice thermal conductivity of solids: AFLOW—AAPL Automatic Anharmonic Phonon Library. (December 2017) Authors: Plata, Jose; Nath, Pinku; Usanmaz, Demet; Carrete, Jesús; Toher, Cormac; Jong, Maarten; Asta, Mark; Fornari, Marco; Nardelli, Marco; Curtarolo, Stefano Journal: Npj computational materials Issue: Volume 3:issue 1(2017) Page Start: 1 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Author Correction: Chemically intuited, large-scale screening of MOFs by machine learning techniques. (December 2017) Authors: Borboudakis, Giorgos; Stergiannakos, Taxiarchis; Frysali, Maria; Klontzas, Emmanuel; Tsamardinos, Ioannis; Froudakis, George Journal: Npj computational materials Issue: Volume 3:issue 1(2017) Page Start: 1 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Computational materials discovery. (2018) Editors: Oganov, Artem R (Artem Romaevich); Saleh, Gabriele; Kvashnin, Alexander G Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Computational materials discovery. (2018) Editors: Oganov, Artem R (Artem Romaevich); Saleh, Gabriele; Kvashnin, Alexander G Record Type: Book Extent: 1 online resource (456 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Computational materials science : an introduction /: an introduction. (2017) Authors: Lee, June Gunn Record Type: Book Extent: 1 online resource, illustrations (black and white) View Content: Available online (eLD content is only available in our Reading Rooms) ↗