Edward O Pyzer-Knapp - Publications

Affiliations: 
IBM Research 
Area:
AI, Machine Learning, Accelerated Discovery

12 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Pyzer-Knapp EO, Chen L, Day GM, Cooper AI. Accelerating computational discovery of porous solids through improved navigation of energy-structure-function maps. Science Advances. 7. PMID 34389543 DOI: 10.1126/sciadv.abi4763  0.648
2020 Fare C, Turcani L, Pyzer-Knapp EO. Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks. Physical Chemistry Chemical Physics : Pccp. 22: 13041-13048. PMID 32478374 DOI: 10.1039/d0cp02319a  0.668
2016 Häse F, Valleau S, Pyzer-Knapp E, Aspuru-Guzik A. Machine learning exciton dynamics. Chemical Science. 7: 5139-5147. PMID 30155164 DOI: 10.1039/C5Sc04786B  0.689
2016 Lopez SA, Pyzer-Knapp EO, Simm GN, Lutzow T, Li K, Seress LR, Hachmann J, Aspuru-Guzik A. The Harvard organic photovoltaic dataset. Scientific Data. 3: 160086. PMID 27676312 DOI: 10.1038/Sdata.2016.86  0.685
2016 Pyzer-Knapp EO, Thompson HP, Day GM. An optimized intermolecular force field for hydrogen-bonded organic molecular crystals using atomic multipole electrostatics. Acta Crystallographica Section B, Structural Science, Crystal Engineering and Materials. 72: 477-87. PMID 27484370 DOI: 10.1107/S2052520616007708  0.648
2015 Pyzer-Knapp EO, Suh C, Gómez-Bombarelli R, Aguilera-Iparraguirre J, Aspuru-Guzik A. What Is High-Throughput Virtual Screening? A Perspective from Organic Materials Discovery Annual Review of Materials Research. 45: 195-216. DOI: 10.1146/Annurev-Matsci-070214-020823  0.633
2015 Pyzer-Knapp EO, Li K, Aspuru-Guzik A. Learning from the Harvard Clean Energy Project: The Use of Neural Networks to Accelerate Materials Discovery Advanced Functional Materials. 25: 6495-6502. DOI: 10.1002/adfm.201501919  0.437
2014 Hasell T, Culshaw JL, Chong SY, Schmidtmann M, Little MA, Jelfs KE, Pyzer-Knapp EO, Shepherd H, Adams DJ, Day GM, Cooper AI. Controlling the crystallization of porous organic cages: molecular analogs of isoreticular frameworks using shape-specific directing solvents. Journal of the American Chemical Society. 136: 1438-48. PMID 24410310 DOI: 10.1021/Ja409594S  0.672
2014 Pyzer-Knapp EO, Thompson HPG, Schiffmann F, Jelfs KE, Chong SY, Little MA, Cooper AI, Day GM. Predicted crystal energy landscapes of porous organic cages Chemical Science. 5: 2235-2245. DOI: 10.1039/C4Sc00095A  0.686
2013 Jelfs KE, Eden EG, Culshaw JL, Shakespeare S, Pyzer-Knapp EO, Thompson HP, Bacsa J, Day GM, Adams DJ, Cooper AI. In silico design of supramolecules from their precursors: odd-even effects in cage-forming reactions. Journal of the American Chemical Society. 135: 9307-10. PMID 23745577 DOI: 10.1021/Ja404253J  0.642
2012 Day GM, Pyzer-Knapp EO, Cooper TG, Jelfs KE, Cooper AI. Towards the computation-led design of porous molecular crystals Acta Crystallographica Section a Foundations of Crystallography. 68: s108-s108. DOI: 10.1107/S0108767312097917  0.644
2011 Day GM, Pyzer-Knapp EO, Jelfs KE, Cooper AI. Crystal energy landscapes of intrinsically porous molecules Acta Crystallographica Section a Foundations of Crystallography. 67: C251-C252. DOI: 10.1107/S0108767311093718  0.653
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