Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning von Balachandran, Prasanna V., Kowalski, Benjamin, Sehirlioglu, Alp, Lookman, Turab

Volltext

Accelerated Discovery of Large Electrostrains in BaTiO3‐Based Piezoelectrics Using Active Learning von Yuan, Ruihao, Liu, Zhen, Balachandran, Prasanna V., Xue, Deqing, Zhou, Yumei, Ding, Xiangdong, Sun, Jun, Xue, Dezhen, Lookman, Turab

Volltext

Accelerated search for materials with targeted properties by adaptive design von Xue, Dezhen, Balachandran, Prasanna V., Hogden, John, Theiler, James, Xue, Deqing, Lookman, Turab

Volltext

Adaptive Strategies for Materials Design using Uncertainties von Balachandran, Prasanna V., Xue, Dezhen, Theiler, James, Hogden, John, Lookman, Turab

Volltext

Multi-objective Optimization for Materials Discovery via Adaptive Design von Gopakumar, Abhijith M., Balachandran, Prasanna V., Xue, Dezhen, Gubernatis, James E., Lookman, Turab

Volltext

Learning from data to design functional materials without inversion symmetry von Balachandran, Prasanna V., Young, Joshua, Lookman, Turab, Rondinelli, James M.

Volltext

A comparison of explainable artificial intelligence methods in the phase classification of multi-principal element alloys von Lee, Kyungtae, Ayyasamy, Mukil V., Ji, Yangfeng, Balachandran, Prasanna V.

Volltext

Skyrmionics—Computing and memory technologies based on topological excitations in magnets von Vakili, Hamed, Xu, Jun-Wen, Zhou, Wei, Sakib, Mohammad Nazmus, Morshed, Md Golam, Hartnett, Timothy, Quessab, Yassine, Litzius, Kai, Ma, Chung T., Ganguly, Samiran, Stan, Mircea R., Balachandran, Prasanna V., Beach, Geoffrey S. D., Poon, S. Joseph, Kent, Andrew D., Ghosh, Avik W.

Volltext

Materials Prediction via Classification Learning von Balachandran, Prasanna V., Theiler, James, Rondinelli, James M., Lookman, Turab

Volltext

Phase classification of multi-principal element alloys via interpretable machine learning von Lee, Kyungtae, Ayyasamy, Mukil V., Delsa, Paige, Hartnett, Timothy Q., Balachandran, Prasanna V.

Volltext

Identifying the 'inorganic gene' for high-temperature piezoelectric perovskites through statistical learning von Balachandran, Prasanna V., Broderick, Scott R., Rajan, Krishna

Volltext

Polarization screening-induced magnetic phase gradients at complex oxide interfaces von Spurgeon, Steven R., Balachandran, Prasanna V., Kepaptsoglou, Despoina M., Damodaran, Anoop R., Karthik, J., Nejati, Siamak, Jones, Lewys, Ambaye, Haile, Lauter, Valeria, Ramasse, Quentin M., Lau, Kenneth K. S., Martin, Lane W., Rondinelli, James M., Taheri, Mitra L.

Volltext

Machine learning guided design of functional materials with targeted properties von Balachandran, Prasanna V.

Volltext

Adaptive machine learning for efficient materials design von Balachandran, Prasanna V.

Volltext

Density functional theory study of energetics, local chemical environment and magnetic properties in a high-entropic MnNiSi0.2Ge0.2Sn0.2Al0.2Ga0.2 intermetallic magnet von Hartnett, Timothy Q, Lee, Kyungtae, Balachandran, Prasanna V

Volltext

Data-driven design of B20 alloys with targeted magnetic properties guided by machine learning and density functional theory von Balachandran, Prasanna V.

Volltext

Active learning in materials science with emphasis on adaptive sampling using uncertainties for targeted design von Lookman, Turab, Balachandran, Prasanna V., Xue, Dezhen, Yuan, Ruihao

Volltext

Machine learning for materials design and discovery von Vasudevan, Rama, Pilania, Ghanshyam, Balachandran, Prasanna V.

Volltext

An informatics approach to transformation temperatures of NiTi-based shape memory alloys von Xue, Dezhen, Xue, Deqing, Yuan, Ruihao, Zhou, Yumei, Balachandran, Prasanna V., Ding, Xiangdong, Sun, Jun, Lookman, Turab

Volltext

Accelerated search for BaTiO₃-based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning von Xue, Dezhen, Balachandran, Prasanna V., Yuan, Ruihao, Hu, Tao, Qian, Xiaoning, Dougherty, Edward R., Lookman, Turab

Volltext