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

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

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

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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

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Chemical gradients in human enamel crystallites von DeRocher, Karen A., Smeets, Paul J. M., Goodge, Berit H., Zachman, Michael J., Balachandran, Prasanna V., Stegbauer, Linus, Cohen, Michael J., Gordon, Lyle M., Rondinelli, James M., Kourkoutis, Lena F., Joester, Derk

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

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

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

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

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

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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.

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Machine-Learning-Enabled Prediction of Adiabatic Temperature Change in Lead-Free BaTiO3‑Based Electrocaloric Ceramics von Su, Melody, Grimes, Ryan, Garg, Sunidhi, Xue, Dezhen, Balachandran, Prasanna V

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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.

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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

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Accelerated design of MTX alloys with targeted magnetostructural properties through interpretable machine learning von Hartnett, Timothy Q., Sharma, Vaibhav, Garg, Sunidhi, Barua, Radhika, Balachandran, Prasanna V.

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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

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

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Accelerated HKUST‑1 Thin-Film Property Optimization Using Active Learning von Huelsenbeck, Luke, Jung, Sangeun, Herrera del Valle, Roberto, Balachandran, Prasanna V, Giri, Gaurav

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Massive band gap variation in layered oxides through cation ordering von Balachandran, Prasanna V., Rondinelli, James M.

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Density functional theory and machine learning guided search for RE2Si2O7 with targeted coefficient of thermal expansion von Ayyasamy, Mukil V., Deijkers, Jeroen A., Wadley, Haydn N.G., Balachandran, Prasanna V.

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