Data‐Driven Analysis of High‐Throughput Experiments on Liquid Battery Electrolyte Formulations: Unraveling the Impact of Composition on Conductivity**

[1]  A. Grimaud,et al.  Artificial Intelligence Applied to Battery Research: Hype or Reality? , 2021, Chemical reviews.

[2]  Z. Seh,et al.  Machine Learning: An Advanced Platform for Materials Development and State Prediction in Lithium‐Ion Batteries , 2021, Advanced materials.

[3]  Michael K. Wismer,et al.  Unlocking the Potential of High-Throughput Experimentation for Electrochemistry with a Standardized Microscale Reactor , 2021, ACS central science.

[4]  D. van der Spoel,et al.  Microscopic origins of conductivity in molten salts unraveled by computer simulations , 2021, Communications Chemistry.

[5]  S. Bernhard,et al.  High-Throughput Screening and Automated Data-Driven Analysis of the Triplet Photophysical Properties of Structurally Diverse, Heteroleptic Iridium(III) Complexes. , 2021, Journal of the American Chemical Society.

[6]  A. Welle,et al.  A combined high-throughput and high-content platform for unified on-chip synthesis, characterization and biological screening , 2020, Nature Communications.

[7]  Gábor Csányi,et al.  Machine-learned interatomic potentials by active learning: amorphous and liquid hafnium dioxide , 2020, npj Computational Materials.

[8]  Reiner Sebastian Sprick,et al.  A mobile robotic chemist , 2020, Nature.

[9]  Joeri Van Mierlo,et al.  Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review , 2019, Renewable and Sustainable Energy Reviews.

[10]  M. Marques,et al.  Recent advances and applications of machine learning in solid-state materials science , 2019, npj Computational Materials.

[11]  A. Aspuru-Guzik,et al.  Self-driving laboratory for accelerated discovery of thin-film materials , 2019, Science Advances.

[12]  Ling Li,et al.  The Evolution of High-Throughput Experimentation in Pharmaceutical Development and Perspectives on the Future , 2019, Organic Process Research & Development.

[13]  Shuji Nakanishi,et al.  High-throughput combinatorial screening of multi-component electrolyte additives to improve the performance of Li metal secondary batteries , 2019, Scientific Reports.

[14]  K. Lang,et al.  High-throughput battery materials testing based on test cell arrays and dispense/jet printed electrodes , 2019, Microsystem Technologies.

[15]  M. Winter,et al.  Before Li Ion Batteries. , 2018, Chemical reviews.

[16]  Alán Aspuru-Guzik,et al.  Closed-loop discovery platform integration is needed for artificial intelligence to make an impact in drug discovery , 2018, Expert opinion on drug discovery.

[17]  Hubert A. Gasteiger,et al.  Quantification of PF5 and POF3 from Side Reactions of LiPF6 in Li-Ion Batteries , 2018 .

[18]  K. Gering,et al.  A Study of the Physical Properties of Li-Ion Battery Electrolytes Containing Esters , 2018 .

[19]  Michael Shevlin,et al.  Practical High-Throughput Experimentation for Chemists , 2017, ACS medicinal chemistry letters.

[20]  R. Ahuja,et al.  Rational Design: A High-Throughput Computational Screening and Experimental Validation Methodology for Lead-Free and Emergent Hybrid Perovskites , 2017 .

[21]  M. Winter,et al.  Synergistic Effect of Blended Components in Nonaqueous Electrolytes for Lithium Ion Batteries , 2017, Topics in Current Chemistry.

[22]  M. Winter,et al.  Investigations on the electrochemical decomposition of the electrolyte additive vinylene carbonate in Li metal half cells and lithium ion full cells , 2016 .

[23]  John M. Gregoire,et al.  Perspective: Composition–structure–property mapping in high-throughput experiments: Turning data into knowledge , 2016 .

[24]  Erik W Draeger,et al.  Lithium ion solvation and diffusion in bulk organic electrolytes from first-principles and classical reactive molecular dynamics. , 2015, The journal of physical chemistry. B.

[25]  Lei Cheng,et al.  Accelerating Electrolyte Discovery for Energy Storage with High-Throughput Screening. , 2015, The journal of physical chemistry letters.

[26]  L. Lefort,et al.  Development of Asymmetric Hydrogenation Catalysts via High Throughput Experimentation , 2013 .

[27]  M. Markowicz,et al.  Adaptation of High-Throughput Screening in Drug Discovery—Toxicological Screening Tests , 2011, International journal of molecular sciences.

[28]  Krishna Rajan,et al.  Combinatorial and high-throughput screening of materials libraries: review of state of the art. , 2011, ACS combinatorial science.

[29]  Reza Eslamloueyan,et al.  Using a Multilayer Perceptron Network for Thermal Conductivity Prediction of Aqueous Electrolyte Solutions , 2011 .

[30]  Oleg Borodin,et al.  Quantum chemistry and molecular dynamics simulation study of dimethyl carbonate: ethylene carbonate electrolytes doped with LiPF6. , 2009, The journal of physical chemistry. B.

[31]  M. Behm,et al.  Electrochemical characterisation and modelling of the mass transport phenomena in LiPF6–EC–EMC electrolyte , 2008 .

[32]  T. Jow,et al.  Solvation sheath of Li+ in nonaqueous electrolytes and its implication of graphite/ electrolyte interface chemistry , 2007 .

[33]  Robert Nadon,et al.  HTS-Corrector: software for the statistical analysis and correction of experimental high-throughput screening data , 2006, Bioinform..

[34]  David Balaban,et al.  Robust regression for high throughput drug screening , 2006, Comput. Methods Programs Biomed..

[35]  Lars Ole Valøen,et al.  Transport Properties of LiPF6-Based Li-Ion Battery Electrolytes , 2005 .

[36]  Kang Xu,et al.  Nonaqueous liquid electrolytes for lithium-based rechargeable batteries. , 2004, Chemical reviews.

[37]  K. Amine,et al.  Change of Conductivity with Salt Content, Solvent Composition, and Temperature for Electrolytes of LiPF6 in Ethylene Carbonate-Ethyl Methyl Carbonate , 2001 .

[38]  H. P. Chen,et al.  The Effect of Ethylene Carbonate and Salt Concentration on the Conductivity of Propylene Carbonate|Lithium Perchlorate Electrolytes , 2000 .

[39]  H. Gasteiger,et al.  Temperature and Concentration Dependence of the Ionic Transport Properties of Lithium-Ion Battery Electrolytes , 2019, Journal of The Electrochemical Society.

[40]  N. Blow.  High-throughput screening: designer screens , 2009, Nature Methods.