S. Suram

发表

Automated Phase Mapping with AgileFD and its Application to Light Absorber Discovery in the V-Mn-Nb Oxide System.

Ronan Le Bras, Carla P. Gomes, S. Suram, 2016, ACS combinatorial science.

CRYSTAL: a multi-agent AI system for automated mapping of materials’ crystal structures

R. V. Dover, S. Suram, Yexiang Xue, 2019, MRS Communications.

High-throughput bubble screening method for combinatorial discovery of electrocatalysts for water splitting.

S. Suram, J. Gregoire, D. Guevarra, 2014, ACS combinatorial science.

Refining Spatial Distribution Maps for Atom Probe Tomography via Data Dimensionality Reduction Methods

S. Suram, K. Rajan, 2012, Microscopy and Microanalysis.

Statistical analysis and interpolation of compositional data in materials science.

S. Suram, J. Gregoire, M. Pesenson, 2015, ACS combinatorial science.

Tracking materials science data lineage to manage millions of materials experiments and analyses

S. Suram, J. Gregoire, H. Stein, 2019, npj Computational Materials.

Development of solar fuels photoanodes through combinatorial integration of Ni–La–Co–Ce oxide catalysts on BiVO4

Santosh K. Suram, John M. Gregoire, Aniketa Shinde, 2016 .

Quaternary Oxide Photoanode Discovery Improves the Spectral Response and Photovoltage of Copper Vanadates

S. Suram, Lan Zhou, J. Gregoire, 2020 .

UC Berkeley Previously Published Works Title Discovery and Characterization of a Pourbaix-Stable , 1 . 8 eV Direct Gap Bismuth Manganate

Kristin A. Persson, S. Suram, J. Gregoire, 2017 .

The role of the CeO2/BiVO4 interface in optimized Fe–Ce oxide coatings for solar fuels photoanodes

F. Toma, S. Suram, Lan Zhou, 2016 .

Bi-Containing n-FeWO4 Thin Films Provide the Largest Photovoltage and Highest Stability for a Sub-2 eV Band Gap Photoanode

Santosh K. Suram, John M. Gregoire, Aniketa Shinde, 2018, ACS Energy Letters.

Deep neural networks to accelerate and reproduce DFT

Santosh K. Suram, Muratahan Aykol, Jens S. Hummelsho̸j, 2019 .

Benchmarking the acceleration of materials discovery by sequential learning†

Brian A. Rohr, Muratahan Aykol, S. Suram, 2019, Chemical science.

Alkaline-stable nickel manganese oxides with ideal band gap for solar fuel photoanodes.

S. Suram, Lan Zhou, J. Gregoire, 2018, Chemical communications.

Random forest machine learning models for interpretable X-ray absorption near-edge structure spectrum-property relationships

Brian A. Rohr, Matthew R. Carbone, Steven B. Torrisi, 2020, npj Computational Materials.

New challenges in oxygen reduction catalysis: a consortium retrospective to inform future research

Steven B. Torrisi, Joseph H. Montoya, Hao Li, 2022, Energy & Environmental Science.

Automated Phase Mapping with AgileFD and its Application to Light Absorber Discovery in the V-Mn-Nb Oxide System.

Ronan Le Bras, Carla P. Gomes, S. Suram, 2016, ACS combinatorial science.

Calibration of reconstruction parameters in atom probe tomography using a single crystallographic orientation.

S. Suram, K. Rajan, 2013, Ultramicroscopy.

Solar fuels photoanode materials discovery by integrating high-throughput theory and experiment

Jie Yu, Kristin A Persson, Aniketa Shinde, 2017, Proceedings of the National Academy of Sciences.

Combining reactive sputtering and rapid thermal processing for synthesis and discovery of metal oxynitrides

S. Suram, Lan Zhou, J. Gregoire, 2015 .

Discovery and Characterization of a Pourbaix-Stable, 1.8 eV Direct Gap Bismuth Manganate Photoanode

S. Suram, Lan Zhou, J. Gregoire, 2017 .

Discovery and Characterization of a Pourbaix-Stable , 1 . 8 eV Direct Gap Bismuth

S. Suram, Lan Zhou, J. Gregoire, 2017 .

High Throughput Light Absorber Discovery, Part 1: An Algorithm for Automated Tauc Analysis.

S. Suram, J. Gregoire, P. Newhouse, 2016, ACS combinatorial science.

Multi-fidelity Sequential Learning for Accelerated Materials Discovery

Muratahan Aykol, Aini Palizhati, Jens Strabo Hummelshøj, 2021 .

Network analysis of synthesizable materials discovery

Muratahan Aykol, Linda Hung, Chris Wolverton, 2018, Nature Communications.

Agents for sequential learning using multiple-fidelity data

Steven B. Torrisi, Joseph H. Montoya, Muratahan Aykol, 2022, Scientific Reports.

Toward autonomous materials research: Recent progress and future challenges

Patrick K. Herring, Steven B. Torrisi, Joseph H. Montoya, 2022, Applied Physics Reviews.

Combinatorial Discovery of Lanthanum-Tantalum Oxynitride Solar Light Absorbers with Dilute Nitrogen for Solar Fuel Applications.

S. Suram, Lan Zhou, J. Gregoire, 2018, ACS combinatorial science.

Data mining for isotope discrimination in atom probe tomography.

S. Suram, S. Broderick, K. Rajan, 2013, Ultramicroscopy.

Interactive visualization of APT data at full fidelity.

Krishna Rajan, Kaustubh Kaluskar, Scott Broderick, 2013, Ultramicroscopy.

A graph-theoretic approach for characterization of precipitates from atom probe tomography data

Olga Wodo, Baskar Ganapathysubramanian, Krishna Rajan, 2013 .

Machine learning–accelerated design and synthesis of polyelemental heterostructures

Joseph H. Montoya, Muratahan Aykol, S. Suram, 2021, Science advances.

Phase Mapper: Accelerating Materials Discovery with AI

Ronan Le Bras, Santosh K. Suram, John M. Gregoire, 2018, AI Mag..

Electrochemical Stability of Metastable Materials

Kristin A. Persson, Joseph Montoya, Santosh K. Suram, 2017 .

The Materials Provenance Store

Brian A. Rohr, Thomas E. Morrell, Michael J. Statt, 2023, Scientific Data.

ESAMP: Event-Sourced Architecture for Materials Provenance Management and Application to Accelerated Materials Discovery

Brian A. Rohr, Santosh K. Suram, John M. Gregoire, 2021, Digital Discovery.

Colorimetric screening for high-throughput discovery of light absorbers.

Slobodan Mitrovic, Edwin Soedarmadji, S. Suram, 2015, ACS combinatorial science.

High-throughput on-the-fly scanning ultraviolet-visible dual-sphere spectrometer.

S. Suram, J. Gregoire, P. Newhouse, 2015, The Review of scientific instruments.

High-throughput synchrotron X-ray diffraction for combinatorial phase mapping.

S. Suram, J. Gregoire, A. Mehta, 2014, Journal of synchrotron radiation.

Combinatorial alloying improves bismuth vanadate photoanodes via reduced monoclinic distortion

S. Suram, Lan Zhou, J. Gregoire, 2018 .

The Materials Research Platform: Defining the Requirements from User Stories

Jay F. Whitacre, Olga Wodo, Laurie A. King, 2019, Matter.

Strategies for accelerating the adoption of materials informatics

Ian Foster, Muratahan Aykol, Santosh K. Suram, 2018, MRS Bulletin.

BEEP: A Python library for Battery Evaluation and Early Prediction

Richard D. Braatz, Muratahan Aykol, Abraham Anapolsky, 2020, SoftwareX.

Discovery of Manganese-Based Solar Fuel Photoanodes via Integration of Electronic Structure Calculations, Pourbaix Stability Modeling, and High-Throughput Experiments

Kristin A. Persson, Santosh K. Suram, Jie Yu, 2017 .

The materials experiment knowledge graph

Brian A. Rohr, Michael J. Statt, S. Suram, 2023, Digital Discovery.

High Throughput Combinatorial Experimentation + Informatics = Combinatorial Science

Santosh K. Suram, Meyer Z. Pesenson, John M. Gregoire, 2016 .

High Throughput Light Absorber Discovery, Part 2: Establishing Structure-Band Gap Energy Relationships.

Apurva Mehta, Lan Zhou, S. Suram, 2016, ACS combinatorial science.

Stability and self-passivation of copper vanadate photoanodes under chemical, electrochemical, and photoelectrochemical operation.

S. Suram, Lan Zhou, J. Gregoire, 2016, Physical chemistry chemical physics : PCCP.

High-throughput characterization for solar fuels materials discovery

Earl W. Cornell, Slobodan Mitrovic, Jian Jin, 2014 .

Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery

Stefano Ermon, Ronan Le Bras, Santosh K. Suram, 2014, AAAI.

Electronic Supplementary Information Stability and Self-passivation of Copper Vanadates under Chemical , Electrochemical , and Photoelectrochemical Operation

S. Suram, Lan Zhou, J. Gregoire, 2016 .

Generating information-rich high-throughput experimental materials genomes using functional clustering via multitree genetic programming and information theory.

S. Suram, J. Gregoire, J. Haber, 2015, ACS combinatorial science.

Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery

Ronan Le Bras, Santosh K. Suram, John M. Gregoire, 2016, AAAI.

Combinatorial thin film composition mapping using three dimensional deposition profiles.

S. Suram, Lan Zhou, J. Gregoire, 2015, The Review of scientific instruments.

High-throughput synchrotron X-ray diffraction for combinatorial phase mapping.

S. Suram, J. Gregoire, A. Mehta, 2014, Journal of synchrotron radiation.

Enabling Solar Fuels Technology With High Throughput Experimentation

Earl W. Cornell, Slobodan Mitrovic, Santosh K. Suram, 2014 .