Prasanna V. Balachandran

发表

Learning targeted materials properties from data

James Theiler, Turab Lookman, Prasanna V. Balachandran, 2016 .

The effect of growth temperature and metal-to-chalcogen on the growth of WSe2 by molecular beam epitaxy

Prasanna V. Balachandran, Peter M. Litwin, Maria Gabriela Sales, 2019, NanoScience + Engineering.

Challenges and Solutions in the Characterization of Hierarchically Structured, Functionally Graded Tooth Biominerals

Prasanna V. Balachandran, Michael J. Cohen, Karen DeRocher, 2020, Microscopy and Microanalysis.

Adaptive Strategies for Materials Design using Uncertainties

James Theiler, Turab Lookman, Prasanna V. Balachandran, 2016, Scientific Reports.

Optimal experimental design for materials discovery

Edward R. Dougherty, Mohammadmahdi R. Yousefi, Roozbeh Dehghannasiri, 2017 .

Pareto fronts for multiobjective optimization design on materials data

James E. Gubernatis, Turab Lookman, Prasanna V. Balachandran, 2017 .

Adaptive machine learning for efficient materials design

Prasanna V. Balachandran, P. Balachandran, 2020, MRS Bulletin.

Accelerated search for materials with targeted properties by adaptive design

James Theiler, Turab Lookman, Prasanna V. Balachandran, 2016, Nature Communications.

Role of Features in the Adaptive Design of Materials

Turab Lookman, Prasanna V. Balachandran, 2017 .

Informatics guided Search for Magnetic Apatites

Turab Lookman, Prasanna V. Balachandran, 2015 .

Materials Prediction via Classification Learning

James Theiler, Turab Lookman, Prasanna V. Balachandran, 2015, Scientific Reports.

A software framework for data dimensionality reduction: application to chemical crystallography

Baskar Ganapathysubramanian, Krishna Rajan, Jaroslaw Zola, 2014, Integrating Materials and Manufacturing Innovation.

Identifying the ‘inorganic gene’ for high-temperature piezoelectric perovskites through statistical learning

Krishna Rajan, Scott R. Broderick, Prasanna V. Balachandran, 2011, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Statistical learning for chemical crystallography

Prasanna V. Balachandran, 2011 .

Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods

Ghanshyam Pilania, Turab Lookman, Prasanna V. Balachandran, 2020 .

Informatics-aided computational design of functional layered oxides

Turab Lookman, Prasanna V. Balachandran, James M. Rondinelli, 2016 .

Machine learning for materials design and discovery

Rama Vasudevan, Prasanna V. Balachandran, Ghanshyam Pilania, 2021 .

Material descriptors for morphotropic phase boundary curvature in lead-free piezoelectrics

Jun Sun, Yumei Zhou, Turab Lookman, 2017 .

Chemical Gradients in Human Enamel Crystallites.

Prasanna V. Balachandran, Paul J. M. Smeets, Berit H. Goodge, 2020, Nature.

An informatics approach to transformation temperatures of NiTi-based shape memory alloys

Jun Sun, Yumei Zhou, Turab Lookman, 2017 .

Predictions of new AB O 3 perovskite compounds by combining machine learning and density functional theory

Christopher M Wolverton, James E. Gubernatis, Turab Lookman, 2018 .

A Perspective on Materials Informatics: State-of-the-Art and Challenges

James Theiler, Kipton Barros, James E. Gubernatis, 2016 .

Machine learning guided design of functional materials with targeted properties

Prasanna V. Balachandran, P. Balachandran, 2019, Computational Materials Science.

Conductivitylike Gilbert Damping due to Intraband Scattering in Epitaxial Iron.

David A. Smith, Dwight D. Viehland, Min Gao, 2019, Physical review letters.

Active learning in materials science with emphasis on adaptive sampling using uncertainties for targeted design

Turab Lookman, Prasanna V. Balachandran, Dezhen Xue, 2019, npj Computational Materials.

Learning from data to design functional materials without inversion symmetry

Turab Lookman, Prasanna V. Balachandran, James M. Rondinelli, 2017, Nature Communications.

Predictions of New ABO3 Perovskite Compounds by Combining Machine Learning and Density Functional Theory

Christopher M Wolverton, James E. Gubernatis, Turab Lookman, 2018 .

Finding New Perovskite Halides via Machine Learning

Chiho Kim, Turab Lookman, Prasanna V. Balachandran, 2016, Front. Mater..

Importance of Feature Selection in Machine Learning and Adaptive Design for Materials

James Theiler, Turab Lookman, Prasanna V. Balachandran, 2018 .